Journal of Communications and Networks

  • 제17권1호
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  • Pages.40-46
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  • 2015
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  • 1229-2370(pISSN)
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  • 1976-5541(eISSN)
한국통신학회 (The Korean Institute of Commucations and Information Sciences)
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Enhanced ANTSEC Framework with Cluster based Cooperative Caching in Mobile Ad Hoc Networks

  • Umamaheswari, Subbian (School of Information Technology & Science, Dr. G. R. Damodaran College of Science) ;
  • Radhamani, Govindaraju (School of Information Technology & Science, Dr. G. R. Damodaran College of Science)
  • 투고 : 2013.04.27
  • 심사 : 2014.07.07
  • 발행 : 2015.02.28
⟨ 이전 논문 다음 논문 ⟩

초록

In a mobile ad hoc network (MANET), communication between mobile nodes occurs without centralized control. In this environment the mobility of a node is unpredictable; this is considered as a characteristic of wireless networks. Because of faulty or malicious nodes, the network is vulnerable to routing misbehavior. The resource constrained characteristics of MANETs leads to increased query delay at the time of data access. In this paper, AntHocNet+ Security (ANTSEC) framework is proposed that includes an enhanced cooperative caching scheme embedded with artificial immune system. This framework improves security by injecting immunity into the data packets, improves the packet delivery ratio and reduces end-to-end delay using cross layer design. The issues of node failure and node malfunction are addressed in the cache management.

키워드

참고문헌

  1. D. E. Denning, "An intrusion detection model," IEEE Trans. Softw. Eng., vol. 13, no. 2, pp. 222-232, 1987.
  2. F. Anjum, D. Subhadrabandhu, and S. Sarkar, "Signature based intrusion detection for wireless Ad-hoc Networks," in Proc. VTC, USA, Oct. 2003, vol. 3, pp. 2152-2156.
  3. K. R. Ramkumar et al., "SACOM secure ant colony optimization for MANETs," International J. Computer and Electrical Engineering, June 2009.
  4. M. K. Denko et al., "Cluster-based cross-layer design for cooperative caching in mobile ad hoc networks," IEEE Systems Journal, vol. 3, no. 4, Dec. 2009.
  5. G. Radhamani and S. Umamaheswari, "An improved ACO based algorithm for enhancing performance in wireless ad hoc network," in American J. Scientific Research, USA, Issue 54, pp. 68-80,
  6. S. M. Iyengar and S. N. Pattnaik, "Solving the MANET routing problem using ant colony algorithm," 2010.
  7. M. R. Jalali et al., "Improved ant colony optimization algorithm for reservoir operation," Scientia Iranica, vol. 13, no. 3, pp. 295-302, 2006.
  8. M. D. Besten, "An ant colony optimization application to the single machine total weighted tardiness problem," in Proc. ANTS, 2000.
  9. B. Sateesh, V. Satish, and D. Sujatha, "Architecture and evaluation on cooperative caching in wireless P2P," IOSR J. Computer Engineering, vol. 6, no. 4, pp. 11-19, Oct. 2012. https://doi.org/10.9790/0661-0641119
  10. M. Sivajothi and Dr. E. R. Naganathan, "An ant colony based routing protocol to support multimedia communication pin ad hoc wireless networks," International J. Computer Science and Network Security, vol. 8, no. 7, July 2008.
  11. C. Kolias, G. Kambourakis, and M. Maragoudakis, "Swarm intelligence in intrusion detection: A survey," Elsevier, 2011.
  12. S. V. Shirbhate, V. M. Thakare, and S. S. Shrekar, "Study of intrusion detection techniques in MANET," in Proc. IJCA, Apr. 2012.
  13. L. Yin and G. Cao, "Supporting cooperative caching in ad hoc networks," IEEE Trans. Mobile Comput., vol. 5, no. 1, pp. 77-89, Jan. 2006. https://doi.org/10.1109/TMC.2006.15
  14. H. Artail et al., "COACS: A cooperative and adaptive caching system for MANETs," IEEE Trans. Mobile Comput., vol. 7, no. 8, pp. 961-977, Aug. 2008. https://doi.org/10.1109/TMC.2008.18
  15. N. Chand, R. C. Joshi, and M. Misra, "Cooperative caching strategy in mobile ad hoc networks based on clusters," Wireless Personal Communications, vol. 43, no. 1, pp. 41-63, Dec. 2006. https://doi.org/10.1007/s11277-006-9238-z
  16. N. Chauhan and L. K. Aswathi, "Prefetching based on cooperative caching in mobile ad hoc networks," in Proc. ICETCEE, pp. 60-64, 2012.
  17. N. Shrivastava and V. Richariya, "Ant colony optimization with classification algorithms used for intrusion detection," International J. Computational Engineering & Management, vol. 15, no. 1, Jan. 2012.
  18. J. Y. Le Boudec and Salavisa Sarafianovi'c, "An artificial immune system approach to misbehavior detection in mobile ad-hoc networks," Biologically Inspired Approaches to Advanced Information Technology, 2004, pp. 396-411.
  19. S. A. Hofmeyr and S. Forrest, "Immunity by design: An artificial immune system," in Proc. GECCO, Morgan-Kaufmann, San Francisco, CA, 1999, pp. 1289-1296.
  20. Network Simulator 2, [Online]. Available: http://www.isi.edu/nsnam/ns
  21. F. Ducatelle et al., "Ant agents for hybrid multipath routing in mobile ad hoc networks," in Proc. WONS, Jan. 2005, pp. 19-21.
  22. R. RoyChoudhuri et al., "An agent-based protocol to support multimedia communication in ad hoc wireless networks," in Proc. International Parallel & Distributed Processing Symposium, USA, Apr. 2001.
  23. G. A. Di Caro, F. Ducatelle, and L.M. Gambardella, "AntHocNet an adaptive nature inspired algorithm for routing in mobile ad hoc networks," European Trans. Telecommunications, vol. 16, no. 5, pp. 443-455, 2005. https://doi.org/10.1002/ett.1062
  24. F. Ducatelle, G. A. Di Caro, and L. M. Gambardella, "Using ant agents to combine reactive and proactive strategies for routing in mobile ad hoc networks," International J. Computational Intelligence and Applications, Special Issue on Nature-Inspired Approaches to Networks and Telecommunications, vol. 5 no. 2, pp. 169-184, 2005.
  25. R. S. Sutton and A. G. Barto, "Reinforcement learning: An introduction," MIT Press, Cambridge, MA, 1998.