Genetic Algorithm Based Wireless Intrusion Detection

By:
P C Kishore Raja,
Mr. Deepak Jain,
Sandeep Mirajkar
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Wireless networks are becoming vulnerable to the attacks ranging from passive eavesdropping to active interfering. The nature of wireless computing environment makes it more vulnerable to these attacks. Wireless network will not have a clear line of defense and every wireless node must be prepared for encounters with an adversary directly or indirectly. Wireless networks that are based on encryption software’s and firewalls are not sufficient to protect it. Intrusion prevention measures such as encryption and authentication can be used in wireless networks to reduce intrusion, but cannot eliminate them. To overcome such difficulties, there is need to develop a system that has ability to detect not only new signatures but also to eliminate them.This system observes routing behavior and user behavior of wireless nodes. This system takes input as combined parameter of wireless routing entries and user profiles. This combined parameter gives total behavior of wireless node and analyzes what is normal. Using genetic algorithm, the system generates best fitness value of above-mentioned input, and then it is compared with the past combined input and current one. If observed behavior deviates significantly from normal operation, the system flags current behavior as intrusion. The future work of entire system can be implemented in a processor.


Keywords: Wireless Network, Intrusion Detection, Genetic algorithm
Stream: Knowledge and Technology
Presentation Type: Paper Presentation in English
Paper: Genetic Algorithm Based Wireless Intrusion Detection


P C Kishore Raja

Assistant Professor, Sri Venkateswara College Of Engineering


Mr. Deepak Jain

Sri Venkateswara College Of Engineering


Sandeep Mirajkar

Sri Venkateswara College Of Engineering


Ref: T06P0209