Smart grids: Security and privacy issues

Smart Grids: Security and Privacy Issues

Volumn , Issue , 2016, Pages 1-113

  Boroojeni, Kianoosh G ^a   Amini, M Hadi ^b,c   Iyengar, S S ^a  

^a FLORIDA INTERNATIONAL UNIVERSITY   (United States)

^b SUN YAT SEN UNIVERSITY   (China)

^c CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ELECTRIC POWER TRANSMISSION NETWORKS; SMART POWER GRIDS;

MATHEMATICAL TOOLS; PRIVACY AND SECURITY; REAL-WORLD; SECURITY AND PRIVACY ISSUES; SMART GRID;

COMPUTER PRIVACY;

EID: 85008975657     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/978-3-319-45050-6     Document Type: Book

References (257)

1. V.C. Gungor et al., Smart grid technologies: communication technologies and standards. IEEE Trans. Ind. Inf. 7(4), 529-539 (2011)
2. National Institute of Standards and Technology, NIST framework and roadmap for smart grid interoperability standards, release 1.0, Office of the National Coordinator for Smart Grid Interoperability-U.S. Department of Commerce, NIST Special Publication 1108, Jan 2010
3. S.M. Kay, Fundamentals of Statistical Signal Processing: Estimation Theory, 1st edn. (Prentice-Hall International Editions, Englewood Cliffs, 1993)
4. R.E. Brown, Impact of smart grid on distribution system design, in Proceedings of IEEE Power and Energy Society General Meeting, Pittsburgh, PA, July 2008, pp. 1-4
5. A. Elmitwally, M. Elsaid, M. Elgamal, Z. Chen, A fuzzy-multiagent self-healing scheme for a distribution system with distributed generations. IEEE Trans. Power Syst. 99, 1-11 (2014)
6. F. Kamyab, M.H. Amini, S. Sheykhha, M. Hasanpour, M.M. Jalali, Demand response program in smart grid using supply function bidding mechanism, IEEE Transactions on Smart Grid 7(2), 1277-1284 (2016)
7. S. Mhanna, A.C. Chapman, G. Verbiĉ, A fast distributed algorithm for large-scale demand response aggregation. IEEE Trans. Smart Grid 7(4), 2094-2107 (2016)
8. M.H. Amini et al., ARIMA-based demand forecasting method considering probabilistic model of electric vehicles’ parking lots, in Proceedings of IEEE Power and Energy Society General Meeting, 2015, pp. 1-5
9. M.H. Amini, R. Jaddivada, S. Mishra, O. Karabasoglu, Distributed security constrained economic dispatch, in IEEE PES Innovative Smart Grid Technologies Conference (ISGT-Asia 2015), Bangkok, 3-6 Nov 2015
10. A. Mohsenzadeh, M.-R. Haghifam, Simultananeus placement of conventional and renewable distributed generation using multi objective optimization, in Proceedings of IEEE, Integration of Renewables into Distributed Grid Workshop, CIRED, 2012
11. M.H. Amini, J. Frye, M.D. Ilic, O. Karabasoglu, Smart residential energy scheduling utilizing two stage mixed integer linear programming, in IEEE 47th North American Power Symposium (NAPS 2015), Charlotte, NC, 4-6 Oct 2015
12. A. Papavasiliou, S.S. Oren, Supplying renewable energy to deferrable loads: algorithms and economic analysis, in Proceedings of IEEE Power and Energy Society General Meeting, Minneapolis, Minnesota, July 2010, pp. 1-8
13. A.R. Di Fazio, G. Fusco, M. Russo, Enhancing distribution networks to evolve toward smart grids: The voltage control problem, in Proceedings of IEEE 52nd Annual Conference on Decision and Control (CDC), Firenze, Dec 2013, pp. 6940-6945
14. J.M. Morales et al., Integrating Renewables in Electricity Markets: Operational Problems. vol. 205 (Springer Science & Business Media, Berlin, 2013)
15. W. Tushar et al., Three-party energy management with distributed energy resources in smart grid. IEEE Trans. Ind. Electron. 62(4), 2487-2498 (2015)
16. V. Kekatos, G.Wang, A.J. Conejo, G.B. Giannakis, Stochastic reactive power management in microgrids with renewables. IEEE Trans. Power Syst. 99, 1-10 (2014)
17. S.E. Shafiei et al., A decentralized control method for direct smart grid control of refrigeration systems, in Proceedings of IEEE 52nd Annual Conference on Decision and Control (CDC), Firenze, Dec 2013, pp. 6934-6939
18. G. Cavraro, R. Carli, S. Zampieri, A distributed control algorithm for the minimization of the power generation cost in smart micro-grid, in Proceedings of IEEE 53rd Annual Conference on Decision and Control (CDC), Los Angeles, CA, Dec 2014, pp. 5642-5647
19. S. Bolognani, S. Zampieri, A distributed control strategy for reactive power compensation in smart microgrids. IEEE Trans. Autom. Control 58(11), 2818-2833 (2013)
20. S. Kar, G. Hug, J. Mohammadi, J.M.F. Moura, Distributed state estimation and energy management in smart grids: a consensus+innovations approach. IEEE J. Sel. Top. Sign. Proces. 99, 1-16 (2014)
21. M.J. Neely, A. Tehrani, A. Dimakis, Efficient algorithms for renewable energy allocation to delay tolerant consumers, in Proceedings of IEEE First International Conference on Smart Grid Comm. (SmartGridComm), Gaithersburg, MD, Oct 2010, pp. 549-554
22. S.S. Iyengar, K.G. Boroojeni, Oblivious Network Routing Algorithms and Applications (MIT Press, Cambridge, 2015)
23. K.G. Boroojeni, S. Mokhtari, M.H. Amini, S.S. Iyengar, Optimal two-tier forecasting power generation model in smart grid. Int. J. Inf. Process. 8(4), 1-10 (2014)
24. S.S. Iyengar, K.G. Boroojeni, N. Balakrishnan, Mathematical Theories of Distributed Sensor Networks (Springer Publishing Company, Incorporated, Berlin, 2014)
25. W. Su, H.R. Eichi, W. Zeng, M.-Y. Chow, A survey on the electrification of transportation in a smart grid environment. IEEE Trans. Ind. Inf. 8(1), 1-10 (2012)
26. M.H. Amini, A. Islam, Allocation of electric vehicles’ parking lots in distribution network, in Proceedings of IEEE Innovative Smart Grid Technologies Conference (ISGT), Washington, DC, Feb 2014, pp. 1-5
27. M.H. Amini, A.I. Sarwat, Optimal reliability-based placement of plug-in electric vehicles in smart distribution network. Int. J. Eng. Sci. 4(2), 43-49 (2014)
28. J.M. Carrasco et al., Power-electronic systems for the grid integration of renewable energy sources: a survey. IEEE Trans. Ind. Electron. 53(4), 1002-1016 (2006)
29. X. Yu, C. Cecati, T. Dilon, M.G. Simoes, The new frontier of smart grids. IEEE Ind. Electron. Mag. 5(3), 49-63 (2011)
30. T. Konstantin, et al. Local control of reactive power by distributed photovoltaic generators, in First IEEE International Conference on Smart Grid Communications (SmartGridComm) (2010)
31. R. Ghorani, M. Fotuhi-Firuzabad, P. Dehghanian, W. Li, Identifying critical component for reliability centered maintenance management of deregulated power systems. IET Gener. Transm. Distrib 9(9), 828-837 (2015)
32. P. Dehghanian, T. Popovic, M. Kezunovic, Circuit breaker operational health assessment via condition monitoring data, in 46th North American Power Symposium, (NAPS), Sep 2014 (Washington State University, Pullman, Washington, 2014)
33. P. Dehghanian, M. Moeini-Aghtaie, M. Fotuhi-Firuzabad, R. Billinton, A practical application of the Delphi method in maintenance-targeted resource allocation of distribution utilities, in 13th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS, July 2014 (Durham University, Durham, 2014)
34. P. Dehghanian, M. Fotuhi-Firuzabad, F. Aminifar, R. Billinton, A comprehensive scheme for reliability centered maintenance implementation in power distribution systems- Part I: methodology. IEEE Trans. Power Delivery 28(2), 761-770 (2013)
35. P. Dehghanian, M. Fotuhi-Firuzabad, S. Bagheri-Shouraki, A.A. Razi Kazemi, Critical component identification in reliability centered asset management of distribution power systems via fuzzy AHP. IEEE Syst. J. 6(4), 593-602 (2012)
36. S. Bahrami, M. Parniani, A. Vafaeimehr, A modified approach for residential load scheduling using smart meters, in IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe), Berlin, 2012
37. S. Bahrami, V.W.S. Wong, An autonomous demand response program in smart grid with foresighted users, in Proceedings of IEEE SmartGridComm, Miami, FL, 2015
38. S. Bahrami, F. Khazaeli, M. Parniani, Industrial load scheduling in smart power grids, in 22nd International Conference and Exhibition on Electricity Distribution (CIRED 2013), Stockholm 2013, pp. 1-4
39. P. Samadi, H. Mohsenian-Rad, V.W.S. Wong, R. Schober, Real-time pricing for demand response based on stochastic approximation. IEEE Trans. Smart Grid 5(2), 789-798 (2014)
40. S. Bahrami, M. Parniani, Game theoretic based charging strategy for plug-in hybrid electric vehicles. IEEE Trans. Smart Grid 5(5), 2368-2375 (2014)
41. K.G. Boroojeni, M.H. Amini, S. Bahrami, S.S. Iyengar, A.I. Sarwat, O. Karabasoglu, A novel multi-time-scale modeling for electric power demand forecasting: from short-term to medium-term horizon. Electr. Power Syst. Res. 142, 58-73 (2017)
42. M.H. Amini, A.I. Sarwat, S.S. Iyengar, I. Guvenc, Determination of the minimum-variance unbiased estimator for dc power-flow estimation, in 40th IEEE Industrial Electronics Conference (IECON 2014) (Dallas, 2014)
43. P. Samadi, S. Bahrami, V.W.S. Wong, R. Schober, Power dispatch and load control with generation uncertainty, in 2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP), Orlando, FL 2015, pp. 1126-1130
44. A. Ameli et al., A multiobjective particle swarm optimization for sizing and placement of DGs from DG owner’s and distribution company’s viewpoints. IEEE Trans. Power Delivery 29(4), 1831-1840 (2014)
45. H. Kim, N. Feamster, Improving network management with software defined networking. IEEE Commun. Mag. 51(2), 114-119 (2013)
46. H. Arasteh, et al., SoS-based multiobjective distribution system expansion planning. Electr. Power Syst. Res. 141, 392-406 (2016)
47. S. Parhizi, A. Khodaei, Investigating the necessity of distribution markets in accommodating high penetration microgrids, in IEEE PES Transmission & Distribution Conference & Exposition (Dallas, 2016)
48. H. Arasteh, M.S. Sepasian, V. Vahidinasab, An aggregated model for coordinated planning and reconfiguration of electric distribution networks. Energy 94, 786-798 (2016)
49. Y. Yan, Y. Qian, H. Sharif, D. Tipper, A survey on cyber security for smart grid communications. IEEE Commun. Surv. Tutorials 14(4), 998-1010 (2012)
50. M. Rahman, P. Bera, E. Al-Shaer, Smartanalyzer: a noninvasive security threat analyzer for AMI smart grid, in Proceedings of IEEE INFOCOM, Orlando, FL, 2012
51. M.H. Amini, M. Parsa Moghaddam, Probabilistic modelling of electric vehicles’ parking lots charging demand, in 21th Iranian Conference on Electrical Engineering ICEE2013, Ferdowsi University of Mashhad, 14-16 May 2013
52. A. Zidan, E.F. El-Saadany, A cooperative multi-agent framework for self-healing mechanisms in distribution systems. IEEE Trans. Smart Grid 3(3), 1525-1539 (2012)
53. M.H. Amini, B. Nabi, M.-R. Haghifam, Load management using multi-agent systems in smart distribution network, in Proceedings of IEEE Power and Energy Society General Meeting, Vancouver, BC, July 2013, pp. 1-5
54. P. Dehghanian, Y. Wang, G. Gurrala, E. Moreno, M. Kezunovic, Flexible implementation of power system corrective topology control. Electr. Power Syst. Res. 128, 79-89 (2015)
55. M. Kezunovic, T. Popovic, G. Gurrala, P. Dehghanian, A. Esmaeilian, M. Tasdighi, Reliable implementation of robust adaptive topology control, in The 47th Hawaii International Conference on System Science, HICSS, Big Island, 6-9 Jan 2014
56. P. Dehghanian, M. Kezunovic, Probabilistic impact of transmission line switching on power system operating states, in IEEE Power and Energy Systems (PES) Transmission and Distribution (T&D) Conference and Exposition, Dallas, 2-5 May 2016
57. P. Dehghanian, M. Kezunovic, Impact assessment of power system topology control on system reliability, in IEEE Conference on Intelligent System Applications to Power Systems, Porto, 11-16 Sept 2015
58. P. Dehghanian, M. Kezunovic, Probabilistic decision making for the bulk power system optimal topology control. IEEE Trans. Smart Grid 7(4), 2071-2081 (2016)
59. Y. Shoham, K. Leyton-Brown, Multi-agent Systems: Algorithmic. Game Theoretic and Logical Foundations (Cambridge University Press, Cambridge, 2009-2010)
60. F. Bellifemine, G. Caire, D. Greenwood, Developing Multi-Agent Systems with JADE (Wiley, New York, 2007)
61. M.Wooldridge, G.Weiss, Intelligent agents, in Multi-Agent Systems (MIT Press, Cambridge, MA, 1999), pp. 3-51
62. P. Siano, C. Cecati, H. Yu, J. Kolbusz, Real time operation of smart grids via FCN networks and optimal power flow. IEEE Trans. Ind. Inf. 8(4), 944-952 (2012)
63. A.I. Sarwat, M.H. Amini, A. Domijan Jr., A. Damnjanovic, F. Kaleem, Weather-based interruption prediction in the smart grid utilizing chronological data. J. Modern Power Syst. Clean Energy 4(2), 308-315 (2016)
64. J.D. Glover, M.S. Sarma, Power System Analysis and Design, 3rd edn. (Brooks/Cole, Pacific Grove, CA, 2002)
65. B. Stott, Review of load-flow calculation methods. Proc. IEEE 62, 916-929 (1974)
66. A.J. Wood, B.F. Wollenberg, Power Generation, Operation and Control, 2nd edn. (Wiley, New York, 1996)
67. G. Giannakis, V. Kekatos, N. Gatsis, S.-J. Kim, H. Zhu, B. Wollenberg, Monitoring and optimization for power grids: a signal processing perspective. IEEE Signal Process. Mag. 30(5), 107-128 (2013)
68. L. Powell, DC load flow, Chap. 11, in Power System Load Flow Analysis. McGrawHill Professional Series (McGrawHill, New York, 2004)
69. B. Stott, J. Jardim, O. Alsac, DC power flow revisited. IEEE Trans. Power Syst. 24(3), 1290-1300 (2009)
70. R.J. Kane, F.F. Wu, Flow approximations for steady-state security assessment. IEEE Trans. Circuits Syst. CAS-31(7), 623-636 (1984)
71. R. Baldick, Variation of distribution factors with loading. IEEE Trans. Power Syst. 18(4), 1316-1323 (2003)
72. L. Xiong, W. Peng, L. Pohchiang, A hybrid AC/DC microgrid and its coordination control. IEEE Trans. Smart Grid 2(2), 278-286 (2011)
73. S. Bera, S. Misra, P.C. Rodriguez Cloud computing applications for smart grid: a survey. IEEE Trans. Parallel Distrib. Syst. 99, 1-18 (2014)
74. C.-T. Yang, W.-S. Chen, K.-L. Huang, J.-C. Liu, W.-H. Hsu, C.-H. Hsu, Implementation of smart power management and service system on cloud computing, in Proceedings of IEEE International Conference on UIC/ATC, 2012, pp. 924-929
75. S. Rusitschka, E. Kolja, C. Gerdes, Smart grid data cloud: a model for utilizing cloud computing in the smart grid domain, in First IEEE International Conference on Smart Grid Communications (SmartGridComm), Gaithersburg, MD, 2010
76. M. Kezunovic, L. Xie, S. Grijalva, The role of big data in improving power system operation and protection, IREP Symposium IEEE, Bulk Power System Dynamics and Control-IX Optimization, Security and Control of the Emerging Power Grid (IREP), 2013
77. C. Almond, A practical guide to cloud computing security, Aug 2009
78. B. Joshi, A. Santhana Vijayan, B. Kumar Joshi, Securing cloud computing environment against DDoS attacks, in 2012 International Conference on Computer Communication and Informatics (ICCCI-2012), Coimbatore, 10-12 Jan 2012
79. S. Yu, W. Zhou, R. Doss, Information theory based detection against network behavior mimicking DDoS attacks. IEEE Commun. Lett. 12(4), 318-321 (2008)
80. Y. Shui, W. Zhou, Entropy-based collaborative detection of DDoS attacks on community networks, in Sixth Annual IEEE International Conference on Pervasive Computing and Communications, Piscataway, NJ, 2008, pp. 566-571
81. J.J.B. Krishnamurthy, M. Rabinovich, Flash crowds and denial of service attacks: characterization and implications for CDNs and web sites, in Proceedings of International WWW Conferences, 2002
82. Y. Chen, K. Hwang, Collaborative change detection of DDoS attacks on community and ISP networks, in Proceedings of IEEE CTS, 2006
83. R.B.G. Carl, G. Kesidis, S. Rai, Denial of service attack detection techniques. IEEE Internet Comput. 10(1), 82-89 (2006)
84. B. Wang, Y. Zheng, W. Lou, Y.T. Hou, DDoS attack protection in the era of cloud computing and software-defined networking. Comput. Netw. 81, 308-319 (2015)
85. A. Mishra, R. Mathur, S. Jain, J.S. Rathore, Cloud computing security. Int. J. Recent Innov. Trends Comput. Commun. 1(1), 36-39 (2013)
86. A. Gupta, M.T. Hajiaghayi, H. Racke, Oblivious network design, in SODA '06: Proceedings of the 17th Annual ACM-SIAM Symposium on Discrete Algorithm (ACM, New York, 2006), pp. 970-979
87. R. Dewri, Location privacy and attacker knowl- edge: who are we fighting against? in Security and Privacy in Communication Networks. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol. 96 (Springer, Berlin, 2012), pp. 96-115
88. M. Li, S. Salinas, A. Thapa, P. Li, n-CD: a geometric approach to preserving location privacy in location-based services, in Proceedings of IEEE INFOCOM, 2013
89. S.S. Iyengar, K.G. Boroojeni, N. Balakrishnan, Mathematical Theories of Distributed Sensor Networks (Springer, Berlin, 2014), pp. 111-145
90. R. Shi, M. Goswami, J. Gao, X.- feng Gu, Is random walk truly memory-less - traffic analysis and source location privacy under random walks, in 2013 Proceedings IEEE INFOCOM, Turin, 2013, pp. 3021-3029
91. M. Gruteser, D. Grunwald, Anonymous usage of location-based services through spatial and temporal cloaking, in ACM Mobisys’03, May 2003
92. B. Gedik, L. Liu, Protecting location privacy with personalized k-anonymity: architecture and algorithms. IEEE Trans. Mob. Comput. 7(1), 1-18 (2008)
93. J. Meyerowitz, R.R. Choudhury, Hiding stars with fireworks: location privacy through camouflage, in Proceedings of ACM MobiCom, Beijing, Sept 2009
94. M. F. Mokbel, C.Y. Chow, W.G. Aref, The new casper: query processing for location services without compromising privacy, in Proceedings of VLDB, 2006
95. P. Kalnis, G. Ghinita, K. Mouratidis, D. Papadias, Preventing location-based identity inference in anonymous spatial queries. IEEE Trans. Knowl. Data Eng. 19(12), 1719-1733 (2007)
96. B. Gedik, L. Liu, Location privacy in mobile systems: a personalized anonymization model, in Proceedings of IEEE ICDCS, Columbus, OH, June 2005
97. C.-Y. Chow, M.F. Mokbel, X. Liu, A peer-to-peer spatial cloaking algorithm for anonymous location-based service, in Proceedings of ACM GIS, Arlington, VA, Nov 2006
98. A. Beresford, F. Stajano, Location privacy in pervasive computing. IEEE Pervasive Comput. 2(1), 46-55 (2003)
99. B. Hoh, M. Gruteser, H. Xiong, A. Alrabady, Preserving privacy in GPS traces via uncertainty-aware path cloaking, in Proceedings of ACM CCS 2007, Alexandria, VA, Jan 2007
100. H. Kido, Y. Yanagisawa, T. Satoh, An anonymous communication technique using dummies for location-based services, in Proceedings of IEEE ICPS, Santorini, July 2006
101. H. Lu, C.S. Jensen, M.L. Yiu, Pad: privacy-area aware, dummy based location privacy in mobile services, in Proceedings of ACM MobiDE, Vancouver, June 2008
102. M. Duckham, L. Kulik, A formal model of obfuscation and negotiation for location privacy, in Proceedings of International Conference on Pervasive Computing, Munich, May 2005
103. C.A. Ardagna, M. Cremonini, S.D.C. di Vimercati, P. Samarati, An obfuscation-based approach for protecting location privacy. IEEE Trans. Dependable Secure Comput. 8(1), 13-27 (2011)
104. A. Pingley, W. Yu, N. Zhang, X. Fu, W. Zhao, Cap: a contextaware privacy protection system for location-based services, in Proceedings of IEEE ICDCS, Montreal, June 2009
105. M. Damiani, E. Bertino, C. Silvestri, Probe: an obfuscation system for the protection of sensitive location information in LBS. Technical Report 2001-145, CERIAS, 2008
106. R. Shokri, G. Theodorakopoulos, C. Troncoso, J.-P. Hubaux, J.-Y. Le Boudec, Protecting location privacy: optimal strategy against localization attacks, in CCS '12 Proceedings of the 2012 ACM Conference on Computer and Communications Security, New York, NY, 2012, pp. 617-627
107. R. Shokri, G. Theodorakopoulos, J.-Y. Le Boudec, J.-P. Hubaux, Quantifying location privacy, in 2011 IEEE Symposium on Security and Privacy (SP), Berkeley, CA, May 2011, pp. 247-262
108. Z. Gong, G.-Z. Sun, X. Xie, protecting privacy in location-based services using K-anonymity without cloaked region, in Eleventh International Conference on Mobile Data Management, Kansas City, MO, 2010
109. R. Shokri, G. Theodorakopoulos, G. Danezis, J.-P. Hubaux, J.-Y. Le Boudec, Quantifying location privacy: the case of sporadic location exposure, in Privacy Enhancing Technologies, ed. by S. Fischer-Hubner, N. Hopper. Lecture Notes in Computer Science, vol. 6794 (Springer, Berlin, 2011), pp. 57-76
110. M.H. Amini et al., ARIMA-based demand forecasting method considering probabilistic model of electric vehicles parking lots, in Proceedings of IEEE Power and Energy Society General Meeting, 2015, pp. 1-5
111. M.H. Amini, J. Frye, M.D. Ilic, O. Karabasoglu, Smart residential energy scheduling utilizing two stage mixed integer linear programming, in IEEE 47th North American Power Symposium (NAPS 2015), Charlotte, NC, 4-6 Oct 2015
112. A. Mohsenzadeh, M.-R. Haghifam, Simultaneous placement of conventional and renewable distributed generation using multi objective optimization, in Proceedings of IEEE, Integration of Renewables into Distributed Grid Workshop, CIRED, 2012
113. A. Papavasiliou, S.S. Oren, Supplying renewable energy to deferrable loads: algorithms and economic analysis, in Proceedings of IEEE Power and Energy Society General Meeting, Minneapolis, Minnesota, July 2010, pp. 1-8
114. A.R. Di Fazio, G. Fusco, M. Russo, Enhancing distribution networks to evolve toward smart grids: The voltage control problem, in Proceedings of IEEE 52nd Annual Conference on Decision and Control (CDC), Firenze, Dec 2013, pp. 6940-6945
115. V. Kekatos, G. Wang, A.J. Conejo, G.B. Giannakis, Stochastic reactive power management in microgrids with renewables. IEEE Trans. Power Syst. 99, 1-10 (2014)
116. S.E. Shafiei et al., A decentralized control method for direct smart grid control of refrigeration systems, in Proceedings of IEEE 52nd Annual Conference on Decision and Control (CDC), Firenze, Dec 2013, pp. 6934-6939
117. G. Cavraro, R. Carli, S. Zampieri, A distributed control algorithm for the minimization of the power generation cost in smart micro-grid, in Proceedings of IEEE 53rd Annual Conference on Decision and Control (CDC), Los Angeles, CA, Dec 2014, pp. 5642-5647
118. S. Kar, G. Hug, J. Mohammadi, J.M.F. Moura, Distributed state estimation and energy management in smart grids: a consensus+innovations approach. IEEE J. Sel. Top. Sign. Proces. 99, 1-16 (2014)
119. S.S. Iyengar, K.G. Boroojeni, Oblivious Network Routing Algorithms and Applications (MIT Press, Cambridge, 2015)
120. U.S. Department of Energy, The smart grid: an introduction, 2008
121. S.S. Iyengar, K.G. Boroojeni, N. Balakrishnan, Mathematical Theories of Distributed Sensor Networks (Springer Publishing Company, Incorporated, Berlin, 2014)
122. A. Zidan, E.F. El-Saadany, A cooperative multi-agent framework for self-healing mechanisms in distribution systems. IEEE Trans. Smart Grid 3(3), 1525-1539 (2012)
123. R.E. Brown, Impact of smart grid on distribution system design. in Proceedings of IEEE Power and Energy Society General Meeting, Pittsburgh, PA, July 2008, pp. 1-4
124. B.H. Chowdhury, S. Rahman, A review of recent advances in economic dispatch. IEEE Trans. Power Syst. 5(4), 1248-1259 (1990)
125. V. Pappu, M. Carvalho, P. Pardalos, Optimization and Security Challenges in Smart Power Grids (Springer, Berlin, 2013)
126. J. Zhu, Optimization of Power System Operation (Wiley, New York, 2014)
127. N. Padhy, Unit commitment-a bibliographical survey. IEEE Trans. Power Syst. 19(2), 1196-1205 (2004)
128. A. Papavasiliou, S.S. Oren, Supplying renewable energy to deferrable loads: algorithms and economic analysis, in Proceedings of IEEE Power and Energy Society General Meeting, Minneapolis, MN, July 2010, pp. 1-8
129. K.G. Boroojeni et al., Optimal two-tier forecasting power generation model in smart grids. Int. J. Inf. Process. 8(4), 79-88 (2014)
130. Y. Liu, N. Ul Hassan, S. Huang, C. Yuen, Electricity cost minimization for a residential smart grid with distributed generation and bidirectional power transactions, in IEEE Innovative Smart Grid Technologies (ISGT), Washington, DC, Feb 2013, pp. 1-6
131. A.I. Selvakumar, K. Thanushkodi, A new particle swarm optimization solution to nonconvex economic dispatch problems. IEEE Trans. Power Syst. 22(1), 42-51 (2007)
132. M.H. Amini, B. Nabi, M.-R. Haghifam, Load management using multi-agent systems in smart distribution network, in Proceedings of IEEE Power and Energy Society General Meeting, Vancouver, BC, Canada, July 2013, pp. 1-5
133. J. Lavaei, D. Tse, B. Zhang, Geometry of power flows and optimization in distribution networks. IEEE Trans. Power Syst. 29(2), 572-583 (2014)
134. M.J. Sanjari, H. Karami, H.B. Gooi, Micro-generation dispatch in a smart residential multicarrier energy system considering demand forecast error. Energy Convers. Manag. 120, 90-99 (2016)
135. E. Kellerer, F. Steinke, Scalable economic dispatch for smart distribution networks. IEEE Trans. Power Syst. 99, 1-8 (2014)
136. M. Carrion, J. Arroyo, A computationally efficient mixed-integer linear formulation for the thermal unit commitment problem. IEEE Trans. Power Syst. 21(3), 1371-1378 (2006)
137. A. Botterud, Z. Zhi, J. Wang et al., Demand dispatch and probabilistic wind power forecasting in unit commitment and economic dispatch: a case study of Illinois. IEEE Trans. Sustainable Energy 4(1), 250-261 (2012)
138. Z. Li, Q. Guo, H. Sun, J. Wang, Sufficient conditions for exact relaxation of complementarity constraints for storage-concerned economic dispatch. IEEE Trans. Power Syst. 99, 1-2 (2015)
139. S.K. Khator, L.C. Leung, Power distribution planning: a review of models and issues. IEEE Trans. Power Syst. 12(3), 1151-1159 (1997)
140. S.S. Iyengar, K.G. Boroojeni, Oblivious Network Routing: Algorithms and Applications (MIT Press, Cambridge, 2015)
141. A. Gupta, M.T. Hajiaghayi, H. Racke, Oblivious network design, in SODA '06: Proceedings of the 17th Annual ACM-SIAM Symposium on Discrete Algorithm (ACM, New York, 2006), pp. 970-979
142. A.J. Wood, B.F. Wollenberg, Power Generation, Operation, and Control (Wiley, New York, 2012)
143. J. Fakcharoenphol, S.B. Rao, K. Talwar, A tight bound on approximating arbitrary metrics by tree metrics, in Proceedings of the 35th STOC, 2003, pp. 448-455
144. MATLAB version 8.5. Miami, Florida: The MathWorks Inc, 2015
145. University of Washington Electrical Engineering, Power systems test case archive (2015). Online Available: http://www.ee.washington.edu/research/pstca/
146. R.D. Zimmerman, C.E. Murillo-Sanchez, R.J. Thomas, MATPOWER: steady-state operations, planning and analysis tools for power systems research and education. IEEE Trans. Power Syst. 26(1), 12-19 (2011)
147. V.C. Gungor et al., Smart grid technologies: communication technologies and standards. IEEE Trans. Ind. Inf. 7(4), 529-539 (2011)
148. W. Su, H.R. Eichi, W. Zeng, M.-Y. Chow, A survey on the electrification of transportation in a smart grid environment. IEEE Trans. Ind. Inf. 8(1), 1-10 (2012)
149. M.H. Amini, A. Islam Allocation of electric vehicles’ parking lots in distribution network,, in Proceedings of IEEE Innovative Smart Grid Technologies Conference (ISGT), Washington, DC, Feb 2014, pp. 1-5
150. M.H. Amini, O. Karabasoglu, M.D. Ilić, K.G. Boroojeni, S.S. Iyengar, ARIMA-based demand forecasting method considering probabilistic model of electric vehicles’ parking lots. IEEE PES General Meeting 2015, Denver, CO, 26-30 July 2015
151. M.H. Amini, A.I. Sarwat, Optimal reliability-based placement of plug-in electric vehicles in smart distribution network. Int. J. Eng. Sci. 4(2), 43-49 (2014)
152. J.M. Carrasco et al., Power-electronic systems for the grid integration of renewable energy sources: a survey. IEEE Trans. Ind. Electron. 53(4), 1002-1016 (2006)
153. X. Yu, C. Cecati, T. Dilon, M.G. Simoes, The new frontier of smart grids. IEEE Ind. Electron. Mag. 5(3), 49-63 (2011)
154. M.H. Amini, J. Frye, Marija D. Ilić, O. Karabasoglu, Smart residential energy scheduling utilizing two stage mixed integer linear programming, in IEEE 47th North American Power Symposium (NAPS 2015), Charlotte, NC, 4-6 Oct 2015
155. National Institute of Standards and Technology, NIST framework and roadmap for smart grid interoperability standards, release 1.0. Office of the National Coordinator for Smart Grid Interoperability-U.S. Department of Commerce, NIST Special Publication 1108, Jan 2010
156. S. Kar, G. Hug, J. Mohammadi, J.M.F. Moura, Distributed state estimation and energy management in smart grids: a consensus+innovations approach. IEEE J. Sel. Top. Sign. Proces. 99, 1-16 (2014)
157. F. Kamyab, M.H. Amini, S. Sheykhha, M. Hasanpour, M.M. Jalali, Demand response program in smart grid using supply function bidding mechanism. IEEE Trans. Smart Grid 7(3), 1277-1284 (2016)
158. M.H. Amini, M.P. Moghaddam, Probabilistic modelling of electric vehicles’ parking lots charging demand, in 21th Iranian Conference on Electrical Engineering ICEE2013, Ferdowsi University of Mashhad, 14-16 May 2013
159. A. Zidan, E.F. El-Saadany, A cooperative multi-agent framework for self-healing mechanisms in distribution systems. IEEE Trans. Smart Grid 3(3), 1525-1539 (2012)
160. R.E. Brown, Impact of smart grid on distribution system design, in Proceedigs IEEE Power and Energy Society General Meeting, Pittsburgh, PA, July 2008, pp. 1-4
161. M.H. Amini, B. Nabi, M.-R. Haghifam, Load management using multi-agent systems in smart distribution network, in Proceedings of IEEE Power and Energy Society General Meeting, Vancouver, BC, July 2013, pp. 1-5
162. S. Bera, S. Misra, P.C. Rodriguez, Cloud computing applications for smart grid: a survey. IEEE Trans. Parallel Distrib. Syst. 99, 1-18 (2014)
163. C.-T. Yang, W.-S. Chen, K.-L. Huang, J.-C. Liu, W.-H. Hsu, C.-H. Hsu, Implementation of smart power management and service system on cloud computing, in Proceedings of IEEE International Conference on UIC/ATC, 2012, pp. 924-929
164. M. Kezunovic, X. Le, G. Santiago, The role of big data in improving power system operation and protection, in IEEE Bulk Power System Dynamics and Control-IX Optimization, Security and Control of the Emerging Power Grid (IREP), 2013 IREP Symposium, 2013
165. Y. Shoham, K. Leyton-Brown, Multi-Agent Systems: Algorithmic. Game Theoretic and Logical Foundations. (Cambridge University Press, Cambridge, 2009-2010)
166. F. Bellifemine, G. Caire, D. Greenwood, Developing Multi-Agent Systems with JADE (Wiley, New York, 2007)
167. M. Wooldridge, G. Weiss, Intelligent agents, in Multi-Agent Systems (MIT Press, Cambridge, MA, 1999), pp. 3-51
168. P. Siano, C. Cecati, H. Yu, J. Kolbusz, Real time operation of smart grids via FCN networks and optimal power flow. IEEE Trans. Ind. Inf., 8(4), 944-952 (2012)
169. A.I. Sarwat, M.H. Amini, A. Domijan Jr., A. Damnjanovic, F. Kaleem, Weather-based interruption prediction in the smart grid utilizing chronological data. J. Mod. Power Syst. Clean Energy 4(2), 308-315 (2016)
170. J.D. Glover, M.S. Sarma, Power System Analysis and Design, 3rd edn. (Pacific Grove, CA, Brooks/Cole, 2002)
171. B. Stott, Review of load-flow calculation methods. Proc. IEEE 62, 916-929 (1974)
172. A.J. Wood, B.F. Wollenberg, Power Generation, Operation and Control, 2nd edn. (Wiley, New York, 1996)
173. G. Giannakis, V. Kekatos, N. Gatsis, S.-J. Kim, H. Zhu, B. Wollenberg, Monitoring and optimization for power grids: a signal processing perspective. IEEE Signal Process. Mag. 30(5), 107-128 (2013)
174. L. Powell, DC load flow, Chap. 11, in Power System Load Flow Analysis. McGrawHill Professional Series (McGrawHill, New York, 2004)
175. B. Stott, J. Jardim, O. Alsac, DC power flow revisited. IEEE Trans. Power Syst. 24(3), 1290-1300 (2009)
176. R.J. Kane, F.F. Wu, Flow approximations for steady-state security assessment. IEEE Trans. Circuits Syst. CAS-31(7), 623-636 (1984)
177. R. Baldick, Variation of distribution factors with loading. IEEE Trans. Power Syst. 18(4), 1316-1323 (2003)
178. L. Xiong, W. Peng, L. Pohchiang, A hybrid AC/DC microgrid and its coordination control. IEEE Trans. Smart Grid 2(2), 278-286 (2011)
179. M.D. Ilić, J. Zaborszky, Dynamics and Control of Large Electric Power Systems (Wiley, New York, 2000)
180. S.M. Kay, Fundamentals of Statistical Signal Processing: Estimation Theory, 1st edn. (Prentice-Hall International Editions, Englewood Cliffs, 1993)
181. F.F. Wu, K. Moslehi, A. Bose, Power system control centers: past, present, and future. Proc. IEEE 93(11), 1890-1908 (2005)
182. F.C. Schweppe, J. Wildes, D.B. Rom, Power system static state estimation, Parts I, II and III. IEEE Trans. Power Apparatus Syst. PAS-89(1), 120-135 (1970)
183. A. Abur, A.G. Exposito, Power System State Estimation: Theory and Implementation (CRC Press, New York, 2002)
184. P.A. Ruiz, P.W. Sauer, Voltage and reactive power estimation for contingency analysis using sensitivities. IEEE Trans. Power Syst. 22(2), 639-647 (2007)
185. K.G. Boroojeni, S. Mokhtari, M.H. Amini, S.S. Iyengar, Optimal two-tier forecasting power generation model in smart grid. Int. J. Inf. Process. 8(4), 1-10 (2014)
186. M.H. Amini, A.I. Sarwat, S.S. Iyengar, I. Guvenc, Determination of the minimum-variance unbiased estimator for dc power-flow estimation, in 40th IEEE Industrial Electronics Conference (IECON 2014), Dallas, TX, 2014
187. M.H. Amini, M.D. Ilić, O. Karabasoglu, DC power flow estimation utilizing Bayesian-based LMMSE Estimator, in IEEE PES General Meeting 2015, Denver, CO, 26-30 July 2015
188. M.H. Amini et al., Sparsity-based error detection in DC power flow state estimation. arXiv preprint arXiv: 1605.04380, 2016
189. R.L. Rabiner, R.W. Schafer, Digital Processing of Speech Signals (Prentice Hall, Englewood Cliffs, 1978)
190. L.R. Bahl et al., Maximum mutual information estimation of hiddenMarkov model parameters for speech recognition, in Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP, 1986
191. V. Digalakis, J.R. Rohlicek, M. Ostendorf. ML estimation of a stochastic linear system with the EM algorithm and its application to speech recognition. IEEE Trans. Speech Audio Process. 1(4), 431-442 (1993)
192. V. Tarokh et al., Space-time codes for high data rate wireless communication: performance criteria in the presence of channel estimation errors, mobility, and multiple paths. IEEE Trans. Commun. 47(2), 199-207 (1999)
193. O. Edfors et al., OFDM channel estimation by singular value decomposition. IEEE Trans. Commun. 46(7), 931-939 (1988)
194. Y. Li, L.J. Cimini Jr., N.R. Sollenberger, Robust channel estimation for OFDM systems with rapid dispersive fading channels. IEEE Trans. Commun. 46(7), 902-915 (1998)
195. R. Togneri, Estimation theory for engineers, 30 Aug 2005. Online Available: http://staffhome. ecm.uwa.edu.au/00014742/teach/Estimation_Theory.pdf
196. M. Rahmani, G. Atia, A subspace learning approach to high dimensional matrix decomposition with efficient information sampling. arXiv preprint arXiv: 1502.00182, 2016
197. M. Rahmani, G. Atia, Innovation pursuit: a new approach to subspace clustering. arXiv preprint arXiv: 1512.00907, 2015
198. E. Candes, J. Romberg, Sparsity and incoherence in compressive sampling. Inverse Prob. 23(3), 969 (2007)
199. M. Rahmani, G. Atia, High dimensional low rank plus sparse matrix decomposition. arXiv preprint arXiv: 1502.00182, 2015
200. E.J. Candes, J. Romberg, T. Tao, Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information. IEEE Trans. Inf. Theory 52(2), 489-509 (2006)
201. E.J. Candes, T. Tao, Near-optimal signal recovery from random projections: universal encoding strategies? IEEE Trans. Inf. Theory 52(12), 5406-5425 (2006)
202. E.J. Candes, T. Tao, Decoding by linear programming. IEEE Trans. Inf. Theory 51(12) 4203-4215 (2005)
203. University of Washington Electrical Engineering, Power systems test case archive (2015). Online Available: http://www.ee.washington.edu/research/pstca/
204. K.G. Boroojeni, M.H. Amini, S. Bahrami, S.S. Iyengar, A.I. Sarwat, O. Karabasoglu, A novel multi-time-scale modeling for electric power demand forecasting: from short-term to mediumterm horizon. Electr. Power Syst. Res. 142, 58-73 (2017)
205. Theresa Hoang Diem NGO, Warner Bros. Entertainment Group, The Box-Jenkins methodology for time series models, SAS Global Forum, 2013
206. G.E.P. Box, G.M. Jenkins, Time-Series Analysis: Forecasting and Control (Holden-Day, CA, 1976)
207. W. Charytoniuk, M.-S. Chen, Very short-term load forecasting using artificial neural networks. IEEE Trans. Power Syst. 15(1), 263-268 (2000)
208. C. Almond, A practical guide to cloud computing security, Aug 2009
209. B. Joshi, A. Santhana Vijayan, B.K. Joshi, Securing cloud computing environment against DDoS attacks, 2012 International Conference on Computer Communication and Informatics (ICCCI-2012), Coimbatore, 10-12 Jan 2012
210. S. Yu, W. Zhou, R. Doss, Information theory based detection against network behavior mimicking DDoS attacks. IEEE Commun. Lett. 12(4), 318-321 (2008)
211. S. Yu, W. Zhou, Entropy-based collaborative detection of DDoS attacks on community networks, in Sixth Annual IEEE International Conference on Pervasive Computing and Communications, Piscataway, NJ, 2008, pp. 566-571
212. J.J.B. Krishnamurthy, M. Rabinovich, Flash crowds and denial of service attacks: characterization and implications for CDNs and web sites, in Proceedings of International WWW Conferences, 2002
213. Y. Chen, K. Hwang, Collaborative change detection of DDoS attacks on community and ISP networks, in Proceedings of IEEE CTS, 2006
214. R.B.G. Carl, G. Kesidis, S. Rai, Denial of service attack detection techniques. IEEE Internet Comput. 10(1), 82-89 (2006)
215. B. Wang, Y. Zheng, W. Lou, Y.T. Hou, DDoS attack protection in the era of cloud computing and software-defined networking. Comput. Netw. 81, 308-319 (2015)
216. A.Mishra, R.Mathur, S. Jain, J. Singh Rathore, Cloud computing security. Int. J. Recent Innov. Trends Comput. Commun. 1(1), 36-39 (2013)
217. D. Zissis, D. Lekkas, Addressing cloud computing security issues. Futur. Gener. Comput. Syst. 28(3), 583-592 (2012)
218. S.S. Iyengar, K.G. Boroojeni, Oblivious Network Routing: Algorithms and Applications (MIT Press, Cambridge, 2015)
219. A. Gupta, M.T. Hajiaghayi, H. Racke, Oblivious network design, in SODA '06: Proceedings of the 17th Annual ACM-SIAM Symposium on Discrete Algorithm (ACM, New York, 2006), pp. 970-979
220. MATLAB version 8.5. Miami, The MathWorks Inc., Florida, 2015
221. S. Knight, H.X. Nguyen, N. Falkner, R. Bowden, M. Roughan, The internet topology zoo. IEEE J. Sel. Areas Commun. 29(9), 1765-1775 (2011)
222. R. Dewri, Location privacy and attacker knowledge: who are we fighting against? in Security and Privacy in Communication Networks. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol. 96 (Springer, Berlin, 2012), pp. 96-115
223. M. Li, S. Salinas, A. Thapa, P, Li, n-CD: a geometric approach to preserving location privacy in location-based services, in Proceedings of IEEE INFOCOM, 2013
224. M. Gruteser, D. Grunwald, Anonymous usage of location-based services through spatial and temporal cloaking, in ACM Mobisys’03, May 2003
225. B. Gedik, L. Liu, Protecting location privacy with personalized k-anonymity: architecture and algorithms. IEEE Trans. Mob. Comput. 7(1), 1-18 (2008)
226. J. Meyerowitz, R.R. Choudhury, Hiding stars with fireworks: location privacy through camouflage, in Proceedings of ACM MobiCom, Beijing, Sept 2009
227. M.F. Mokbel, C.Y. Chow, W.G. Aref, The new casper: query processing for location services without compromising privacy, in Proceedings of VLDB, 2006
228. P. Kalnis, G. Ghinita, K. Mouratidis, D. Papadias, Preventing location-based identity inference in anonymous spatial queries. IEEE Trans. Knowl. Data Eng. 19(12), 1719-1733 (2007)
229. B. Gedik, L. Liu, Location privacy in mobile systems: a personalized anonymization model, in Proceedings of IEEE ICDCS, Columbus, OH, June 2005
230. C.-Y. Chow, M.F. Mokbel, X. Liu, A peer-to-peer spatial cloaking algorithm for anonymous location-based service, in Proceedings of ACM GIS, Arlington, VA, Nov 2006
231. A. Beresford, F. Stajano, Location privacy in pervasive computing. IEEE Pervasive Comput. 2(1), 46-55 (2003)
232. B. Hoh, M. Gruteser, H. Xiong, A. Alrabady, Preserving privacy in GPS traces via uncertaintyaware path cloaking, in Proceedings of ACM CCS 2007, Alexandria, VA, Jan 2007
233. H. Kido, Y. Yanagisawa, T. Satoh, An anonymous communication technique using dummies for location-based services, in Proceedings of IEEE ICPS, Santorini, July 2006
234. H. Lu, C.S. Jensen, M.L. Yiu, Pad: privacy-area aware, dummy based location privacy in mobile services, in Proceedings of ACM MobiDE, Vancouver, June 2008
235. M. Duckham, L. Kulik, A formal model of obfuscation and negotiation for location privacy, in Proceedings of International Conference on Pervasive Computing, Munich, May 2005
236. C.A. Ardagna, M. Cremonini, S.D.C. di Vimercati, P. Samarati, An obfuscation-based approach for protecting location privacy. IEEE Trans. Dependable Secure Comput. 8(1), 13-27 (2011)
237. A. Pingley, W. Yu, N. Zhang, X. Fu, W. Zhao, Cap: a contextaware privacy protection system for location-based services, in Proceedings of IEEE ICDCS, Montreal, June 2009
238. M. Damiani, E. Bertino, C. Silvestri, Probe: an obfuscation system for the protection of sensitive location information in LBS. Technical Report 2001-145, CERIAS, 2008
239. R. Dewri, Location privacy and attacker knowledge: who are we fighting against? in Security and Privacy in Communication Networks. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol. 96 (Springer, Berlin, 2012), pp. 96-115
240. M. Li, S. Salinas, A. Thapa, P. Li, n-CD: a geometric approach to preserving location privacy in location-based services, in Proceedings of IEEE INFOCOM, 2013
241. M. Gruteser, D. Grunwald, Anonymous usage of location-based services through spatial and temporal cloaking, in ACM Mobisys’03, May 2003
242. B. Gedik, L. Liu, Protecting location privacy with personalized k-anonymity: architecture and algorithms. IEEE Trans. Mob. Comput. 7(1), 1-18 (2008)
243. J. Meyerowitz, R.R. Choudhury, Hiding stars with fireworks: location privacy through camouflage, in Proceedings of ACM MobiCom, Beijing, Sept 2009
244. M.F. Mokbel, C.Y. Chow, W.G. Aref, The new casper: query processing for location services without compromising privacy, in Proceedings of VLDB, 2006
245. C.-Y. Chow, M.F. Mokbel, X. Liu, A peer-to-peer spatial cloaking algorithm for anonymous location-based service, in Proceedings of ACM GIS, Arlington, VA, Nov 2006
246. A. Beresford, F. Stajano, Location privacy in pervasive computing. IEEE Pervasive Comput. 2(1), 46-55 (2003)
247. B. Hoh, M. Gruteser, H. Xiong, A. Alrabady, Preserving privacy in GPS traces via uncertaintyaware path cloaking, in Proceedings of ACM CCS 2007, Alexandria, VA, Jan 2007
248. H. Kido, Y. Yanagisawa, T. Satoh, An anonymous communication technique using dummies for location-based services, in Proceedings of IEEE ICPS, Santorini, July 2006
249. P. Kalnis, G. Ghinita, K. Mouratidis, D. Papadias, Preventing location-based identity inference in anonymous spatial queries. IEEE Trans. Knowl. Data Eng. 19(12), 1719-1733 (2007)
250. B. Gedik, L. Liu, Location privacy in mobile systems: a personalized anonymization model, in Proceedings of IEEE ICDCS, Columbus, OH, June 2005
251. H. Lu, C.S. Jensen, M.L. Yiu, Pad: privacy-area aware, dummy based location privacy in mobile services, in Proceedings of ACM MobiDE, Vancouver, June 2008
252. M. Duckham, L. Kulik, A formal model of obfuscation and negotiation for location privacy, in Proceedings of International Conference on Pervasive Computing, Munich, May 2005
253. C.A. Ardagna, M. Cremonini, S.D.C. di Vimercati, P. Samarati, An obfuscation-based approach for protecting location privacy. IEEE Trans. Dependable Secure Comput. 8(1), 13-27 (2011)
254. A. Pingley, W. Yu, N. Zhang, X. Fu, W. Zhao, Cap: a contextaware privacy protection system for location-based services, in Proceedings of IEEE ICDCS, Montreal, June 2009
255. M. Damiani, E. Bertino, C. Silvestri, Probe: an obfuscation system for the protection of sensitive location information in LBS. Technical Report 2001-145, CERIAS, 2008
256. R. Shokri, G. Theodorakopoulos, C. Troncoso, J.-P. Hubaux, J.-Y. Le Boudec, Protecting location privacy: optimal strategy against localization attacks, in CCS '12 Proceedings of the 2012 ACM Conference on Computer and Communications Security, New York, NY, 2012, pp. 617-627
257. R. Shokri, G. Theodorakopoulos, J.-Y. Le Boudec, J.-P. Hubaux, Quantifying location privacy, in 2011 IEEE Symposium on Security and Privacy (SP), Berkeley, CA, May 2011, pp. 247-262