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Localized Secure Routing Architecture Against Cooperative Black Hole Attack in Mobile Ad Hoc Networks

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Abstract

Black hole attack refers an attack by single or more number of malicious nodes which forcibly captures the route from source to destination by sending reply with largest sequence number and smallest hop count. In this paper, a novel technique using Localized Secure Architecture for MANET (LSAM) routing protocol is proposed to detect and prevent co-operative black hole attack. Security Monitoring Nodes (SMNs) would be activated only if the threshold value is exceeded. If malicious nodes are detected, other SMNs in its proximity area are intimated to isolate the malicious nodes. Network simulator tool is implemented to analyze the network performance of different scenarios with various number of nodes. Packet delivery ratio (PDR), routing overhead, control overhead, packet drop rate, throughput and end-to-end delay (EED) are the factors taken into consideration for performance analysis and it is shown that the proposed protocol is more secured and efficient. PDR is been increased by 27 % in the presence of 40 % misbehaving nodes, while it increases the percentage of overhead on proposed routing protocol from 1 to 4 %. EED is greatly reduced from 0.9 to 0.3 % in LSAM.

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References

  1. Zhou, L., & Haas, Z. (1999). Securing ad hoc networks. IEEE Network Magazine, 13, 24–30.

  2. Zapata, M., & Asokan, N. (2002). Securing ad hoc routing protocols. In Proceedings of 3rd ACM workshop WiSE, pp. 1–10.

  3. Papadimitratos, P., & Haas, H. (2003). Secure data transmission in mobile ad hoc networks. In Proceedings of ACM workshop WiSE, pp. 41–50.

  4. Yih-Chun, H, & Perrig, A. (2004). A survey of secure wireless ad hoc routing. IEEE Security Privacy, 2, 28–39.

  5. Sanzgiri, K., Dahill, B., Levine, B. N., Shields, C., & Belding-Royer, E. M. (2002). A secure routing protocol for ad hoc network. In Proceedings of 10th IEEE International Conference in Network Protocols (INCP’ 02), IEEE press (pp. 78–87).

  6. Deng, H., & Agarwal, P. (2002). Routing security in wireless ad hoc networks. IEEE Communication Magazine, 40, 70–75.

    Article  Google Scholar 

  7. Perkins, C., Belding-Royer, E., & Das, S. (2003). Ad hoc on-demand distance vector (AODV) routing. IETF RFC, 3561.

  8. Marti, S., Giuli, T. J., Lai, K., & Baker, M. (2000). Mitigating routing misbehaviour in mobile ad hoc networks. In Proceedings of the 6th annual international conference mobile computer networks, pp. 255–265.

  9. Wang, B., Chen, X., & Chang, W. (2014). A light-weight trust-based QoS routing algorithm for ad hoc networks. Pervasive and Mobile Computing, 13, 164–180.

    Article  Google Scholar 

  10. Boppana, R. V., & Su, X. (2011). On the effectiveness of monitoring for intrusion detection in mobile ad hoc networks. IEEE Transactions on Mobile Computing, 10, 1162–1174.

    Article  Google Scholar 

  11. Sánchez-Casado, L., Maciá-Fernández, G., García-Teodoro, P., & Magán-Carrión, R. (2015). A model of data forwarding in MANETs for lightweight detection of malicious packet dropping. Computer Networks, 87, 44–58.

    Article  Google Scholar 

  12. Nadeem, A., & Howarth, M. P. (2014). An intrusion detection & adaptive response mechanism for MANETs. Ad Hoc Networks, 13, 368–380.

    Article  Google Scholar 

  13. Nakayama, H., Kurosama, S., Jamalipour, A., Nemoto, Y., & Kato, N. (2009). A dynamic anomaly detection scheme for AODV-based mobile ad hoc networks. IEEE Transactions on Vehicular Technology, 58, 2471–2481.

    Article  Google Scholar 

  14. Ming-Yang, S. (2011). Prevention of selective black hole attacks on mobile ad hoc networks through intrusion detection systems. Computer Communication, 34, 107–117.

    Article  Google Scholar 

  15. Kurosawa, S., Nakayama, H., Kato, N., Jamalipour, A., & Nemoto, Y. (2007). Detecting blackhole attack on AODV-based mobile ad hoc networks by dynamic learning method. International Journal of Network Security, 5, 338–346.

    Google Scholar 

  16. Latha, T., & Sankaranarayanan, V. (2008). Prevention of co-operative black hole attack in MANET. Journal of Networks, 3, 13–20.

    Google Scholar 

  17. Shakshuki, E. M., Kang, N., & Sheltami, T. (2013). EAACK—A secure intrusion-detection system for MANETs. IEEE Transactions on Industrial Electronics, 60, 1089–1098.

    Article  Google Scholar 

  18. Network Simulator-NS (ver. 2). http://nsnam.isi.edu/nsnam/

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Authors and Affiliations

  1. Department of Computer Science and Engineering, PPG Institute of Technology, Coimbatore, Tamilnadu, India

    T. Poongodi

  2. Department of Electronics and Communication Engineering, Tamilnadu College of Engineering, Coimbatore, Tamilnadu, India

    M. Karthikeyan

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  1. T. Poongodi
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  2. M. Karthikeyan
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Correspondence to T. Poongodi.

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Poongodi, T., Karthikeyan, M. Localized Secure Routing Architecture Against Cooperative Black Hole Attack in Mobile Ad Hoc Networks. Wireless Pers Commun 90, 1039–1050 (2016). https://doi.org/10.1007/s11277-016-3318-5

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  • DOI: https://doi.org/10.1007/s11277-016-3318-5

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