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Trusted Neighbors Based Secured Routing Scheme in Wireless Sensor Networks Using Agents

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Abstract

In Wireless Sensor Network (WSN) applications, nodes are deployed in public domains that are prone to be attacked by various types of attacks wherein the data confidentiality, integrity and authentication are compromised. In this paper, we propose Agent based SEcured Routing using Trusted neighbors (ASERT) in WSN. ASERT selects trustworthy neighbors and establishes secured routes using software agents. ASERT operates in following phases. (1) Defining Safeguard Agency (SA) and Routing Agency (RA), both consisting of static and mobile agents and a knowledge base. (2) Identification of trustworthy neighbor nodes by SA with trust model that consists of probability and Message Authentication Codes (MAC) model. (3) Probability model estimates the trustworthy channel and trustworthy nodes whereas MAC model ensures them. (4) MAC’s are dynamically computed by agents by generating the keys with the help of Random Oracle Extractor (ROE). (5) RA establishes secured routes from source to the sink node using agents. (6) Agents effectively identify possible security threats on wireless channel and node. (7) An improvement in packet delivery ratio, packet delivery latency, route maintenance overhead, memory overhead and energy consumption is achieved in ASERT as compared to two protocols, namely, Bio-inspired Trust and Reputation model in WSN (BTRM-WSN) using ant colony based approach and Ambient Trust Sensor Routing that uses trust combined with location information for routing.

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References

  1. Kavitha, T., & Sridharan, D. (2010). Security vulnerabilities in wireless sensor networks: A survey. Journal of Information Assurance and Security, 5, 31–44.

    Google Scholar 

  2. Ozdemir, S., & Xiaa, Y. (2011). Integrity protecting hierarchical concealed data aggregation for wireless sensor networks. Computer Networks, 55, 1735–1746.

    Article  Google Scholar 

  3. Pham, V. A., & Karmouch, A. (1998). Mobile software agents: An Overview. IEEE Communications Magazine, 36(7), 26–37.

    Google Scholar 

  4. Chess, D., Benjamin, G., Harrison, C., Levine, D., & Paris, C. (1995). Itinerant agents in mobile computing. IEEE Personal Communication Magazine, 2, 35–49.

    Article  Google Scholar 

  5. Zhang, Y., Yang, J., Li, W., Wang, L., & Jin, L. (2010). An authentication scheme for locating compromised sensor nodes in WSNs. Journal of Network and Computer Applications, 33, 50–62.

    Article  Google Scholar 

  6. Marmol, F. G., & Perez, G. M. (2011). Providing trust in wireless sensor networks using a bio-inspired technique. Telecommunication System, 46, 163–180.

    Article  Google Scholar 

  7. Yim, S. J., & Choi, Y. H. (2012). Neighbor-based malicious node detection in wireless sensor networks. Wireless Sensor Networks, 4, 219–225.

    Article  Google Scholar 

  8. Karlof, C., & Wagner, D. (2003). Secure routing in wireless sensor networks: Attacks and countermeasures. Ad Hoc Networks, 1, 293–315.

    Article  Google Scholar 

  9. Bin, T., Xian, Y. Y., Dong, L., Qi, L., & Xin, Y. (2010). A security framework for wireless sensor networks. The Journal of China Universities of Posts and Telecommunications, 17, 118–122.

    Google Scholar 

  10. Mohd Yussoff, Y., Hashim, H., & Dani Baba, M. (2012). Identity-based trusted authentication in wireless sensor network. International Journal of Computer science, 9(3), 1694–0814.

    Google Scholar 

  11. Leligou, H. C., Trakadas, P., Maniatis, S., Karkazis, P., & Zahariadis, T. (2012). Combining trust with location information for routing in wireless sensor networks. Wireless Communications and Mobile Computing, 12(12), 1091–1103.

    Article  Google Scholar 

  12. Khalil, I., Bagchi, S., Rotaru, C. N., & Shroff, N. B. (2010). UNMASK: utilizing neighbor monitoring for attack mitigation in multihop wireless sensor networks. Ad Hoc Networks, 8(2), 148–164.

    Article  Google Scholar 

  13. Bao, F., Chen, I.-R., Chang, M. J., & Cho, J.-H. (2012). Hierarchical trust management for wireless sensor networks and its applications to trust-based routing and intrusion detection. IEEE Transaction on Network Services Management, 9(2), 169–183.

    Article  Google Scholar 

  14. Zhan, G., Shi, W., & Deng, J. ((2010). TARF: A Trust-aware routing framework for wireless sensor networks. In European Conference on Wireless Sensor Networks (EWSN) (pp. 65–80).

  15. Zhan, G., Shi, W., & Deng, J. (2013). Design and Implementation of TARF: A Trust-aware routing framework for WSNs. IEEE Transactions on Dependable Secure Computing, 9(2), 184–197.

    Article  Google Scholar 

  16. Babu, S. S., Raha, A., & Naskar, M. K. (2011). A Direct trust dependent link state routing protocol using route trusts for WSNs (DTLSRP). Scientific Research, Wireless Sensor Network, 3, 125–134.

    Article  Google Scholar 

  17. Srivastava, A. K., & Goel, A. (2011). Security solution for WSN using mobile agent technology. International Journal of Research and Reviews in Wireless Sensor Networks (IJRRWSN), 1(3), 48–52.

    Google Scholar 

  18. Zdarsky, F. A., Robitzsch, S., & Banchs, A. (2011). Security analysis of wireless mesh back-hauls for mobile networks. Journal of Network and Computer Applications, 34(2), 432–442.

    Article  Google Scholar 

  19. Lange, D. B., & Oshima, M. (1999). Seven good reasons for mobile agents. Communications of the ACM, 42(3), 88–89.

    Article  Google Scholar 

  20. Chen, M., Kwon, T., Yuan, Y., & Leung, V. C. M. (2006). Mobile agent based wireless sensor networks. Journal of Computers, 1(1), 14–21.

    Google Scholar 

  21. Pecho, P., Zboril, F, Jr, Drahansky, M., & Hanacek, P. (2009). Agent platform for wireless sensor network with support for cryptographic Protocols. Journal of Universal Computer Science, 15(5), 992–1006.

    Google Scholar 

  22. Reddy, Y. B. (2012). Trust-based approach in wireless sensor networks using an agent to each cluster. International Journal of Security, Privacy and Trust Management(IJSPTM), 1(1), 19–26.

    Google Scholar 

  23. Sheela, D., Nirmala S., Nath, S., & Mahadevan, G. (2011, July). A Recent technique to detect sink hole attacks in WSN. White paper, Anna University.

  24. Mpitziopoulos, A., Gavalas, D., Konstantopoulos, C., & Pantziou, G. (2009). JAID: An algorithm for data fusion and jamming avoidance on distributed sensor networks. Pervasive and Mobile Computing, 5, 135–147.

    Article  Google Scholar 

  25. Boukerch, A., Xu, L., & EL-Khatib K., (2007). Trust-based security for wireless ad hoc and sensor networks. Computer Communications, 30, 2413–2427.

    Google Scholar 

  26. Geetha, D. D. Nalini, N., & Biradar, R. C. (2013). Trusted neighbor identification in wireless sensor networks: agent based approach. In IEEE international conference on advanced research in engineering and technology (ICARET-2013) (pp. 112–117) Vijayawada, India.

  27. Available at: http://en.wikipedia.org/wiki/Randomness_extractor. Browsed on October 2012.

  28. Dodis, Y., Gennaro, R., Hastad, J., Krawczyk, H., & Rabin, T. (2004). Randomness extraction and key derivation using the CBC, cascade and HMAC Modes. In: Annual international cryptology conference (CRYPTO) (pp. 494–510). Santa Barbara, California, USA.

  29. Available at: http://en.wikipedia.org/wiki/List_of_wireless_sensor_nodes. Accessed on March 2013.

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Acknowledgments

The authors wish to thank Visvesvaraya Technological University (VTU), Karnataka, INDIA, for funding the part of the project under VTU Research Scheme (Grant No. VTU/Aca./2011-12/A-9/753, Dated: 5 May 2012.

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Reva Institute of Technology and Management, Bangalore, India

    Geetha D. Devanagavi

  2. Jain University, Bangalore, India

    Geetha D. Devanagavi

  3. Department of Computer Science and Engineering, Nitte Meenakshi Institute of Technology and Management, Bangalore, India

    N. Nalini

  4. Department of Information Science and Engineering, Reva Institute of Technology and Management, Bangalore, India

    Rajashekhar C. Biradar

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  1. Geetha D. Devanagavi
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  2. N. Nalini
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  3. Rajashekhar C. Biradar
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Correspondence to Geetha D. Devanagavi.

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Devanagavi, G.D., Nalini, N. & Biradar, R.C. Trusted Neighbors Based Secured Routing Scheme in Wireless Sensor Networks Using Agents. Wireless Pers Commun 78, 1–28 (2014). https://doi.org/10.1007/s11277-014-1704-4

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  • DOI: https://doi.org/10.1007/s11277-014-1704-4

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