Distributed real-time anomaly detection in networked industrial sensing systems

IEEE Transactions on Industrial Electronics

Volumn 62, Issue 6, 2015, Pages 3832-3842

  Chen, Po Yu ^a   Yang, Shusen ^a   McCann, Julie A ^a  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

Anomaly detection; distributed systems; industrial sensor networks; networked sensing systems; online algorithm

Indexed keywords

ACCIDENT PREVENTION; DIGITAL COMMUNICATION SYSTEMS; DIGITAL DEVICES; EMBEDDED SYSTEMS; GRAPH THEORY; NETWORK SECURITY; ONLINE SYSTEMS; SMART POWER GRIDS; WIRELESS SENSOR NETWORKS;

ANOMALY DETECTION; DISTRIBUTED SYSTEMS; INDUSTRIAL SENSOR; NETWORKED SENSING SYSTEMS; ON-LINE ALGORITHMS;

REAL TIME SYSTEMS;

EID: 84929340186     PISSN: 02780046     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIE.2014.2350451     Document Type: Article

References (38)

1. A. Fisher et al., "Industrial cyber-physical systems-Icyphy," in Complex Systems Design and Management. Dordrecht, Switzerland: Springer- Verlag, 2014, pp. 21-37.
2. E. A. Lee, "Cyber physical systems: Design challenges," in Proc. IEEE ISORC, 2008, pp. 363-369.
3. V. C. Gungor, B. Lu, and G. P. Hancke, "Opportunities and challenges of wireless sensor networks in smart grid," IEEE Trans. Ind. Electron., vol. 57, no. 10, pp. 3557-3564, Oct. 2010.
4. Y. Liu, P. Ning, and M. K. Reiter, "False data injection attacks against state estimation in electric power grids," ACM Trans. Inf. Syst. Security, vol. 14, no. 1, pp. 1-33, 2011.
5. V. C. Gungor and G. P. Hancke, "Industrial wireless sensor networks: Challenges, design principles, and technical approaches," IEEE Trans. Ind. Electron., vol. 56, no. 10, pp. 4258-4265, Oct. 2009.
6. M. Chen, "Reconfiguration of sustainable thermoelectric generation using wireless sensor network," IEEE Trans. Ind. Electron., vol. 61, no. 6, pp. 2776-2783, Jun. 2014.
7. S. Yoo et al., "Guaranteeing real-time services for industrial wireless sensor networks with IEEE 802.15. 4," IEEE Trans. Ind. Electron., vol. 57, no. 11, pp. 3868-3876, Nov. 2010.
8. X. Cao, J. Chen, Y. Xiao, and Y. Sun, "Building-environment control with wireless sensor and actuator networks: Centralized versus distributed," IEEE Trans. Ind. Electron., vol. 57, no. 11, pp. 3596-3605, Nov. 2010.
9. A. Ostfeld et al., "The Battle of the Water Sensor Networks (bwsn): A design challenge for engineers and algorithms," J. Water Resources Planning Manage., vol. 134, no. 6, pp. 556-568, Nov./Dec. 2008.
10. B. Lu and V. C. Gungor, "Online and remote motor energy monitoring and fault diagnostics using wireless sensor networks," IEEE Trans. Ind. Electron., vol. 56, no. 11, pp. 4651-4659, Nov. 2009.
11. O. Kreibich, J. Neuzil, and R. Smid, "Quality-based multiple-sensor fusion in an industrial wireless sensor network for MCM," IEEE Trans. Ind. Electron., vol. 61, no. 9, pp. 4903-4911, Sep. 2014.
12. G. Foo, X. Zhang, and D. Vilathgamuwa, "A sensor fault detection and isolation method in interior permanent-magnet synchronous motor drives based on an extended Kalman filter," IEEE Trans. Ind. Electron., vol. 60, no. 8, pp. 3485-3495, Aug. 2013.
13. K. Rothenhagen and F. W. Fuchs, "Current sensor fault detection, isolation, and reconfiguration for doubly fed induction generators," IEEE Trans. Ind. Electron., vol. 56, no. 10, pp. 4239-4245, Oct. 2009.
14. V. Chandola, A. Banerjee, and V. Kumar, "Anomaly detection: A survey," ACM Comput. Surveys, vol. 41, no. 3, p. 15, Jul. 2009.
15. B. Krishnamachari and S. Iyengar, "Distributed Bayesian algorithms for fault-tolerant event region detection in wireless sensor networks," IEEE Trans. Comput., vol. 53, no. 3, pp. 241-250, Mar. 2004.
16. S. Subramaniam, T. Palpanas, D. Papadopoulos, V. Kalogeraki, and D. Gunopulos, "Online outlier detection in sensor data using nonparametric models," in Proc. VLDB, 2006, pp. 187-198.
17. O. Obst, X. R. Wang, and M. Prokopenko, "Using echo state networks for anomaly detection in underground coal mines," in Proc. IEEE/ACM IPSN, 2008, pp. 219-229.
18. S. Rajasegarar, C. Leckie, M. Palaniswami, and J. C. Bezdek, "Distributed anomaly detection in wireless sensor networks," in Proc. IEEE ICCS, 2006, pp. 1-5.
19. J.W. Branch, C. Giannella, B. Szymanski, R.Wolff, and H. Kargupta, "Innetwork outlier detection in wireless sensor networks," Knowl. Inf. Syst., vol. 34, no. 1, pp. 23-54, Jan. 2013.
20. S. Rajasegarar, C. Leckie, and M. Palaniswami, "Hyperspherical cluster based distributed anomaly detection in wireless sensor networks," J. Parallel Distrib. Comput., vol. 74, no. 1, pp. 1833-1847, Jan. 2014.
21. S. Chan, H. Wu, and K. Tsui, "Robust recursive eigendecomposition and subspace-based algorithms with application to fault detection in wireless sensor networks," IEEE Trans. Instrum. Meas., vol. 61, no. 6, pp. 1703- 1718, Jun. 2012.
22. R. Jiang, H. Fei, and J. Huan, "A family of joint sparse PCA algorithms for anomaly localization in network data streams," IEEE Trans. Knowl. Data Eng., vol. 25, no. 11, pp. 2421-2433, Nov. 2013.
23. Y. Yao, A. Sharma, L. Golubchik, and R. Govindan, "Online anomaly detection for sensor systems: A simple and efficient approach," Perform. Eval., vol. 67, no. 11, pp. 1059-1075, Nov. 2010.
24. J. Chen, S. Kher, and A. Somani, "Distributed fault detection of wireless sensor networks," in Proc. ACM DIWANS, 2006, pp. 65-72.
25. P. Jiang, "A new method for node fault detection in wireless sensor networks," Sensors, vol. 9, no. 2, pp. 1282-1294, Feb. 2009.
26. E. W. Dereszynski and T. G. Dietterich, "Spatiotemporal models for dataanomaly detection in dynamic environmental monitoring campaigns," ACM Trans. Sens. Netw., vol. 8, no. 1, p. 3, Aug. 2011.
27. R. Fontugne et al., "Strip, bind, search: A method for identifying abnormal energy consumption in buildings," in Proc. ACM SenSys, 2013, pp. 129-140.
28. S. Guo, Z. Zhong, and T. He, "Find: Faulty node detection for wireless sensor networks," in Proc. ACM SenSys, 2009, pp. 253-266.
29. J. O. Berger, V. De Oliveira, and B. Sansó, "Objective Bayesian analysis of spatially correlated data," J. Amer. Stat. Assoc., vol. 96, no. 456, pp. 1361- 1374, Dec. 2001.
30. J.-H. Hoepman, "Simple distributed weighted matchings," 2004. [Online]. Available: http://arxiv.org/PS-cache/cs/pdf/0410/0410047v1.pdf
31. S. Yang, Z. Sheng, J. McCann, and K. Leung, "Distributed stochastic cross-layer optimization for multi-hop wireless networks with cooperative communications," IEEE Trans. Mobile Comput., vol. 13, no. 10, pp. 2269-2282, Oct. 2014.
32. G. Palla, I. Derényi, I. Farkas, and T. Vicsek, "Uncovering the overlapping community structure of complex networks in nature and society," Nature, vol. 435, no. 7043, pp. 814-818, Jun. 2005.
33. T. Torfs et al., "Low power wireless sensor network for building monitoring," IEEE Sensors J., vol. 13, no. 3, pp. 909-915, Mar. 2013.
34. I. Urteaga, K. Barnhart, and Q. Han, "Redflag: A run-time, distributed, flexible, lightweight, and generic fault detection service for data-driven wireless sensor applications," Pervasive Mobile Comput., vol. 5, no. 5, pp. 432-446, Oct. 2009.
35. A. B. Sharma, L. Golubchik, and R. Govindan, "Sensor faults: Detection methods and prevalence in real-world datasets," ACM Trans. Sens. Netw., vol. 6, no. 3, p. 23, Jun. 2010.
36. H. Farhangi, "The path of the smart grid," IEEE Power Energy Mag., vol. 8, no. 1, pp. 18-28, Jan./Feb. 2010.
37. Y. Mo et al., "Cyber-physical security of a smart grid infrastructure," Proc. IEEE, vol. 100, no. 1, pp. 195-209, Jan. 2012.
38. L. Yang and F. Li, "Detecting false data injection in smart grid in-network aggregation," in Proc. IEEE SmartGridComm, 2013, pp. 408-413.