Preemptive performance monitoring of a large network of Wi-Fi hotspots: an artificial immune system

Authors:
Pheeha Machaka;Antoine Bagula
Affiliations:
Intelligent Systems and Advanced Telecommunication Laboratory, Department of Computer Science, University of Cape Town, Rondebosch, Cape Town, South Africa;Intelligent Systems and Advanced Telecommunication Laboratory, Department of Computer Science, University of Cape Town, Rondebosch, Cape Town, South Africa
Venue:
WWIC'11 Proceedings of the 9th IFIP TC 6 international conference on Wired/wireless internet communications
Year:
2011

Citing 6
Cited 0

The Challenge of Wi-Fi Roaming

Computer
Self-Nonself Discrimination in a Computer

SP '94 Proceedings of the 1994 IEEE Symposium on Security and Privacy
Simulation: The Practice of Model Development and Use

Simulation: The Practice of Model Development and Use
A biologically inspired password authentication system

Proceedings of the 5th Annual Workshop on Cyber Security and Information Intelligence Research: Cyber Security and Information Intelligence Challenges and Strategies
A sense of self for Unix processes

SP'96 Proceedings of the 1996 IEEE conference on Security and privacy
An immunity-based technique to characterize intrusions in computernetworks

IEEE Transactions on Evolutionary Computation

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper addresses the problem of network monitoring by proposing an Artificial Immune System (AIS) system to achieve situation recognition and monitoring in a large network of Wi-Fi hotspots as part of a highly scalable preemptive monitoring tool for wireless networks. Using a set of data extracted from a live network of Wi-Fi hotspots managed by an ISP, we integrated an AIS algorithm into a data collection system to detect anomalous performance and aberrant behavior in the ISP's network. The results reveal the efficiency of the AIS system in terms of both anomaly performance and aberrant behavior on several test case scenarios.