Skip to main content
SpringerLink
Log in

Fuzzy Adaptive Threshold Determining in the Key Inheritance Based Sensor Networks

  • Conference paper
New Trends in Applied Artificial Intelligence (IEA/AIE 2007)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4570))

Abstract

Sensor networks are often deployed in unattended environments, thus leaving these networks vulnerable to false data injection attacks. False data injection attacks will not only cause false alarms that waste real world response efforts, but also drain the finite amount of energy in a battery powered network. The key inheritance based filtering scheme can detect a false report at the very next node of the compromised node that injected the false report before it consumes a significant amount of energy. The choice of a security threshold value in this scheme represents a trade off between security and overhead. In this paper, we propose a fuzzy adaptive threshold determining method for the key inheritance based filtering scheme. The fuzzy rule based system is exploited to determine the security threshold value by considering the average energy level of all the nodes along the path from the base station to a cluster, the number of nodes in that cluster, and the number of compromised nodes. We also introduce a modified version of this scheme to reduce the overhead for changing the threshold value. The proposed method can conserve energy, while it provides sufficient resilience.

This research was supported by the MIC (Ministry of Information and Communication), Korea, under the ITRC (Information Technology Research Center) support program supervised by the IITA (Institute of Information Technology Advancement). (IITA-2006-C1090-0603-0028).

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Zhang, Y., Liu, W., Lou, W., Fang, Y.: Location-Based Compromise-Tolerant Security Mechanisms for Wireless Sensor Networks. IEEE J. Sel. Area Comm. 24(2), 247–260 (2006)

    Article  Google Scholar 

  2. Przydatek, B., Song, D., Perrig, A.: SIA: Secure Information Aggregation in Sensor Networks. In: Proc. of SenSys, pp. 255–265 (2003)

    Google Scholar 

  3. 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. of S&P, pp. 259–271 (2004)

    Google Scholar 

  4. Li, F., Wu, J.: A Probabilistic Voting-based Filtering Scheme in Wireless Sensor Networks. In: Proc. of IWCMC, pp. 27–32 (2006)

    Google Scholar 

  5. Yang, H., Lu, S.: Commutative Cipher Based En-Route Filtering in Wireless Sensor Networks. In: Proc. of VTC 2003, pp. 1223–1227 (2003)

    Google Scholar 

  6. Ye, F., Luo, H., Lu, S.: Statistical En-Route Filtering of Injected False Data in Sensor Networks. IEEE J. Sel. Area Comm 23(4), 839–850 (2005)

    Article  Google Scholar 

  7. Zhang, W., Cao, G.: Group Rekeying for Filtering False Data in Sensor Networks: A Predistribution and Local Collaboration-based Approach. In: Proc. of INFOCOM 2005, pp. 503–514 (2005)

    Google Scholar 

  8. Zhang, Y., Yang, J., Vu, H.T.: The Interleaved Authentication for Filtering False Reports in Multipath Routing based Sensor Networks. In: Proc. of IPDPS (2006)

    Google Scholar 

  9. Lee, H., Cho, T.: Key Inheritance-Based False Data Filtering Scheme in Wireless Sensor Networks. In: Inoue, K., Satoh, K., Toni, F. (eds.) Computational Logic in Multi-Agent Systems. LNCS (LNAI), vol. 4371, pp. 116–127. Springer, Heidelberg (2007)

    Google Scholar 

  10. Perrig, A., Szewczyk, R., Tygar, J.D., Wen, V., Culler, D.E.: SPINS: Security Protocols for Sensor Networks. Wirel. Netw. 8(5), 521–534 (2002)

    Article  MATH  Google Scholar 

  11. Chi, S., Cho, T.: Fuzzy Logic based Propagation Limiting Method for Message Routing in Wireless Sensor Networks. In: Gavrilova, M., Gervasi, O., Kumar, V., Tan, C.J.K., Taniar, D., Laganà, A., Mun, Y., Choo, H. (eds.) ICCSA 2006. LNCS, vol. 3983, pp. 58–67. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Information and Communication Engineering, Sungkyunkwan University, 300 Cheoncheon-dong, Jangan-gu, Suwon 440-746, Korea

    Hae Young Lee & Tae Ho Cho

Authors
  1. Hae Young Lee
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Tae Ho Cho
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Hiroshi G. Okuno Moonis Ali

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer Berlin Heidelberg

About this paper

Cite this paper

Lee, H.Y., Cho, T.H. (2007). Fuzzy Adaptive Threshold Determining in the Key Inheritance Based Sensor Networks. In: Okuno, H.G., Ali, M. (eds) New Trends in Applied Artificial Intelligence. IEA/AIE 2007. Lecture Notes in Computer Science(), vol 4570. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73325-6_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-73325-6_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-73322-5

  • Online ISBN: 978-3-540-73325-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation