Adaptive threshold determination method for the dynamic filtering in wireless sensor networks using fuzzy logic

ABSTRACT

Nodes in sensor networks can be easily compromised by an adversary because of hostile environments. An adversary may use compromised nodes to inject false reports into the network. The dynamic en-route scheme can detect and drop such false reports during the forwarding phase. In this scheme, choosing a threshold value is important, as it trades off between security power and energy consumption. Thus, we should choose a threshold value such that it provides sufficient resilience, yet is small enough to conserve energy. This paper presents a fuzzy-based threshold determination method for the dynamic en-route scheme to filter false reports in wireless sensor networks. The base station periodically determines the threshold value using a fuzzy rule-based system. The resilience and energy efficiency of the proposed method against false data injection attacks are shown by simulation.

REFERENCES

• 1: I. Akyildiz, "A Survey on Sensor Networks," IEEE Commun. Mag., vol. 40, no. 8, pp. 102--114, Aug. 2002.
• 2: J. N. Al-Karaki, and A. E. Kamal, "Routing techniques in wireless sensor networks: a survey", IEEE Wireless Communication Mag., vol. 11, no. 6, pp. 6--28, 2004.
• 3: D. Djenouri and L. Khelladi, "A Survey of Security Issues in Mobile Ad Hoc and Sensor Networks," IEEE Communication Surveys and Tutorials, vol. 7, no. 4, pp. 2--28, December 2005.
• 4: Z. Yu and Y. Guan, "A Dynamic En-route Scheme for Filtering False Data Injection in Wireless Sensor Networks," in Proc. IEEE INFOCOM'06, Apr. 2006.
• 5: Zhu S, Setia S, Jajodia S, Ning P. An Interleaved Hop-by-Hop Authentication Scheme for Filtering of Injected False Data in Sensor Networks. In Proc. S&P, 2004, pp.259--271.
• 6: Yang H, Lu S. Commutative Cipher Based En-Route Filtering in Wireless Sensor Networks. In Proc. VTC, 2003, pp.1223--1227.
• 7: Ye F, Luo H, Lu S. Statistical En-Route Filtering of Injected False Data in Sensor Networks. IEEE J. Sel. Area Comm., 2005, 23(4): 839--850.
• 8: Feng Li , Jie Wu, A probabilistic voting-based filtering scheme in wireless sensor networks, Proceedings of the 2006 international conference on Wireless communications and mobile computing, July 03-06, 2006, Vancouver, British Columbia, Canada [doi>10.1145/1143549.1143557]
• 9: Adrian Perrig , Robert Szewczyk , J. D. Tygar , Victor Wen , David E. Culler, SPINS: security protocols for sensor networks, Wireless Networks, v.8 n.5, p.521-534, September 2002 [doi>10.1023/A:1016598314198]
• 10: S. J. Lee, H. Y. Lee and T. H. Cho, "A Threshold Determining Method for the Dynamic Filtering in Wireless Sensor Networks Based on Fuzzy Logic", International Journal of Computer Science and Network Security, vol. 8, no. 4, pp. 155--159, Apr. 2008.
• 11: H. Y. Lee and T. H. Cho, "Key Inheritance-Based False Data Filtering Scheme in Wireless Sensor Networks", Lect. Notes Comput. Sc., vol.4317, pp.116--127, Dec. 2006.
• 12: B. H. Kim, H. Y. Lee and T. H. Cho, "Fuzzy Key Dissemination Limiting Method for the Dynamic Filering-Based Sensor Networks", Lect. Notes Comput. Sc., vol.4681, pp.261--272, Aug. 2007.
• 13: H. Y. Lee and T. H. Cho, "Fuzzy Adaptive Selection of Filtering Schemes for Energy Saving in Sensor Networks," IEICE Transactions on Communications, vol. E90-B, no. 12, pp. 3346--3353, Dec. 2007
• 14: B. H. Kim and T. H. Cho, "Condition-based Key Dissemination Period Determining Method in Sensor Networks", In Proc. Of ICACT, 2008.

INDEX TERMS

Primary Classification:
  C. Computer Systems Organization
  C.2 COMPUTER-COMMUNICATION NETWORKS
      C.2.0 General
          Subjects: Security and protection (e.g., firewalls)

General Terms:
Algorithms, Performance, Security

Keywords:
false data filtering, false data injection attacks, fuzzy system, security, wireless sensor networks