Title page for ETD etd-09042003-190454


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
  • Wireless
  • Ad hoc
  • Self-Adjusting Threshold
  • Security
  • Intrusion Detection
Date of Defense 2003-08-29
Availability restricted
Abstract
Wireless 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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