Type of Document Master's Thesis Author Nadkarni, Ketan Milind URN etd-09042003-190454 Title An Intrusion Detection Scheme for Wireless Mobile Ad hoc Networks based on DSDV Protocol Degree Master of Science Department Computer Science Advisory Committee
Advisor Name Title Mishra, Amitabh Committee Chair Varadarajan, Srinidhi Committee Co-Chair Santos, Eunice E. Committee Member Keywords
- Ad hoc
- Self-Adjusting Threshold
- Intrusion Detection
Date of Defense 2003-08-29 Availability restricted AbstractWireless mobile ad-hoc networks (MANETs) have come into prominence due to
potentially rapid and infrastructure-less deployment in military operations and also in
emergency and disaster-relief situations. However, the unreliability of wireless links
between nodes, possibility of mobile nodes being captured or compromised, break down
of cooperative algorithms, all lead to increased vulnerability. No matter how supposedly
secure a system is, unrelenting attackers eventually succeed in infiltrating it. This
underscores the need to monitor what is taking place in a system and look for suspicious
behavior. An Intrusion Detection System (IDS) does just that: monitors audit data, looks
for intrusions in the system, and initiates a proper response. Bandwidth constraints of
MANETs necessitate the need for efficiency of any security scheme in order to prevent
the overloading of the network.
In this thesis, we have proposed an effective and efficient IDS for MANETs that
aims to combine misuse detection with anomaly detection. Experimental validation has
provided significant results about not only the accuracy and robustness of the scheme but
also the non-degradability of network performance upon induction of our security
scheme. It is not affected by factors such as node density, node mobility, traffic load and
percentage of malicious nodes. On an average, our IDS, implemented using Destination-
Sequenced Distance-Vector (DSDV) protocol, detects intrusions with an accuracy of over
90% and is generally insensitive to false alarms. Moreover, performance metrics such as
end-to-end delay, packet delivery ratio and normalized routing load are only marginally
affected (about 2% decrease in performance).
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