Detecting misbehaving nodes in mobile ad hoc networks
LE3 .A278 2011
2011
Shakshuki, Elhadi
Acadia University
Master of Science
Masters
Computer Science
There has been a tremendous growth in the use of wireless communication in the past few decades. Mobile Ad hoc NETwork (MANET) is one of the most important one among various wireless communication mechanisms. Its unique infrastructureless network and self-configuring capability makes it ideal for many mission critical applications. However, these characteristics also make MANET vulnerable to passive and active attacks due to its open medium, changing topology and lack of centralized monitoring. In this research, we propose a new intrusion detection system specially designed for mobile ad hoc networks. Our proposed scheme introduces a combination of a hybrid acknowledgement scheme as well as digital signature techniques. By adopting such techniques, our goal is to design and implement an efficient and secure intrusion detection system called EAACK (Enhanced Adaptive ACKnowledgement) for mobile ad hoc networks that is capable of detecting misbehaving nodes in mobile ad hoc networks and address many challenges in this area. We also implemented the proposed scheme along with other contemporary research work by simulation. In the end of the research, we compare the results and evaluate the performance of our proposed scheme. The results indicate positive performances in various test scenarios when comparing to existing approaches such as Watchdog, TWOACK and AACK.
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https://scholar.acadiau.ca/islandora/object/theses:197
