Acknowledgement based Intrusion-Detection System for MANETS

Abstract

In the next generation of wireless communication systems, there will be a need for the quick deployment of independent mobile users. notable examples include establishing survivable, efficient, flush communication for emergency/ recover operations, defeat relief efforts, and Army networks. Such network scenarios cannot count on centralized and organized connectivity, and can be make up as applications of Mobile Ad Hoc Networks. The primary challenge in building a MANET is equipping each device to continuously maintain the information required to properly route traffic. An intrusion detection system (IDS) is a device or software application that monitors network or system activities for malicious activities or policy violations and produces reports to a management station. IDS come in a variety of “flavors” and approach the goal of detecting suspicious traffic in different ways. The self configuring ability of nodes in MANET made it popular among critical mission applications like army use or emergency recovery. However, the open medium and wide distribution of nodes make MANET vulnerable to malicious attackers. In this case, it is decisive to develop efficient intrusion-detection mechanisms to protect MANET from attacks. By using technology support we are cut in hardware costs, we are witnessing a current trend of expanding MANETs into industrial applications. To adjust to such trend, we strongly believe that it is vital to address its potential security problem. In this paper, we propose and implement a new intrusion-detection system named Enhanced Adaptive Acknowledgment (EAACK) specially made for MANETs. Compared to contemporary approaches, Enhanced Adaptive ACK demonstrates higher malicious-behavior-detection rates in certain circumstances while does not greatly affect the network performances.

Authors and Affiliations

D. Gayathri| M Tech Student, Dept of Computer Science and Engineering, KKR & KSR Institute of Technology & Sciences ,Vinjanampadu, Guntur Dt,A.P., Dr. M. S. S. Sai| Professor, Dept of Computer Science and Engineering, KKR & KSR Institute of Technology & Sciences ,Vinjanampadu, Guntur Dt,A.P.

Keywords

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  • EP ID EP16364
  • DOI -
  • Views 322
  • Downloads 13

How To Cite

D. Gayathri, Dr. M. S. S. Sai (2014). Acknowledgement based Intrusion-Detection System for MANETS. International Journal of Science Engineering and Advance Technology, 2(10), 651-656. https://europub.co.uk/articles/-A-16364