MuDA: Multifunctional data aggregation in privacy-preserving smart grid communications

Peer-to-Peer Networking and Applications

Volumn 8, Issue 5, 2015, Pages 777-792

  Chen, Le ^a,b   Lu, Rongxing ^b   Cao, Zhenfu ^a   AlHarbi, Khalid ^c   Lin, Xiaodong ^c  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

^b NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^c UNIVERSITY OF ONTARIO INSTITUTE OF TECHNOLOGY   (Canada)

Author keywords

Differential privacy; Multifunctional aggregation; Privacy preserving; Smart grid

Indexed keywords

ELECTRIC POWER TRANSMISSION NETWORKS; SMART POWER GRIDS;

COMMUNICATION OVERHEADS; DIFFERENTIAL PRIVACIES; ELECTRICITY-CONSUMPTION; PRIVACY PRESERVING; SECURE DATA AGGREGATIONS; SMART GRID; SMART GRID COMMUNICATIONS; STATISTICAL FUNCTIONS;

DATA PRIVACY;

EID: 84938749511     PISSN: 19366442     EISSN: 19366450     Source Type: Journal    
DOI: 10.1007/s12083-014-0292-0     Document Type: Article

References (22)

1. Wireless medium access control (mac) and physical layer (phy) specifications for low-rate wireless personal area networks (wpans) amendment 4: Physical layer specifications for low data rate wireless smart metering utility networks.IEEE Std. P802.15.4g/D4 part 15.4(Apr. 2011)
2. Alharbi K, Lin X (2012) Lpda: A lightweight privacy-preserving data aggregation scheme for smart grid WCSP, pp 1–6
3. Andersson G, Donalek P, Farmer R, Hatziargyriou N, Kamwa I, Kundur P et al. (2005) N.M.: Causes of the 2003 major grid blackouts in north america and europe, and recommended means to improve system dynamic performance. IEEE Trans Power Syst 20 (4):1922–1928
4. Boneh D, Goh EJ, Nissim K (2005) Evaluating 2-dnf formulas on ciphertexts. In: Theory of cryptography. Springer Berlin Heidelberg, pp 325–341
5. Boneh D, Rubin K, Silverberg A (2011) Finding composite order ordinary elliptic curves using the cockscpinch method. J Number Theory 131(5):832–841
6. Chen L, Lu R, Cao Z (2014) Pdaft: A privacy-preserving data aggregation scheme with fault tolerance for smart grid communications. Peer-to-Peer networking and applications, pp 1–11
7. Dwork C (2006) Differential privacy. In: Automata, languages and programming. Springer Berlin Heidelberg, pp 1–12
8. Dwork C (2008) Differential privacy: A survey of results. In: Theory and applications of models of computation. Springer Berlin Heidelberg, pp 1–19
9. Fisher S R A (1970) Statistical methods for research workers, vol 14. Edinburgh: Oliver and Boyd
10. Ghosh A, Roughgarden T, Sundararajan M (2012) Universally utility-maximizing privacy mechanisms. SIAM J Comput 41(6):1673–1693
11. Hashmi M, Hanninen S, Maki K (2011) Survey of smart grid concepts, architectures, and technological demonstrations worldwide. In: 2011 IEEE PES conference on innovative smart grid technologies (ISGT Latin America), pp 1–7
12. Jia W, Zhu H, Cao Z, Dong X, Xiao C (2013) Human-factor-aware privacy preserving aggregation in smart grid. IEEE System Journal, pp 1–10
13. Kursawe K, Danezis G, Kohlweiss M (2011) Privacy-friendly aggregation for the smart-grid. In: PETS, pp 175–191
14. Li F, Luo B, Liu P (2010) Secure information aggregation for smart grids using homomorphic encryption. In: SmartGridComm, pp 327–332
15. Li H, Lin X, Yang H, Liang X, Lu R, Shen X S (2013), Eppdr:An efficient privacy-preserving demand response scheme with adaptive key evolution in smart grid. IEEE Transactions on Parallel and Distributed Systems
16. Liang X, Li X, Lu R, Lin X, Shen X S (2013) Udp: Usage-based dynamic pricing with privacy preservation for smart grid. IEEE Trans Smart Grid 4(1):141–150
17. Lu R, Liang X, Li X, Lin X, Shen XS (2012) Eppa: An efficient and privacy-preserving aggregation scheme for secure smart grid communications. IEEE Trans Parallel Distrib Syst 23(9):1621–1631
18. Maas G A, Bial M, Fijalkowski J Final report - system disturbance on 4 november 2006. Union for the coordination of transmission of electricity in europe(Tech Rep. 2007)
19. Menezes AJ, Oorschot PCV, Vanstone S A (1996) Handbook of applied cryptography. CRC press
20. Meng W, Ma R, Chen HH (2014) Smart grid neighborhood area networks: a survey. IEEE Net 28(1):24–32
21. Rastogi V, Nath S (2010) Differentially private aggregation of distributed time-series with transformation and encryption. In: SIGMOD, pp 735–746
22. Shi E, Chan THH, Rieffel EG, Chow R, Song D (2011) Privacy-preserving aggregation of time-series data.In:NDSS