The rising sophistication of cyber threats as well as the
improvement of physical computer network properties present
increasing challenges to contemporary Intrusion Detection (ID)
techniques. To respond to these challenges, a multi agent system
(MAS) coupled with flow-based ID techniques may effectively
complement traditional ID systems. This paper develops: 1) a
scalable software architecture for a new, self-organized, multi
agent, flow-based ID system; and 2) a network simulation
environment suitable for evaluating implementations of this MAS
architecture and for other research purposes. Self-organization is
achieved via 1) a "reputation" system that influences agent
mobility in the search for effective vantage points in the network;
and 2) multi objective evolutionary algorithms that seek effective
operational parameter values. This paper illustrates, through
quantitative and qualitative evaluation, 1) the conditions for
which the reputation system provides a significant benefit; and 2)
essential functionality of a complex network simulation environment
supporting a broad range of malicious activity scenarios. These
results establish an optimistic outlook for further research in
flow-based multi agent systems for ID in computer networks.
General
Imprint: |
Biblioscholar
|
Country of origin: |
United States |
Release date: |
October 2012 |
First published: |
October 2012 |
Authors: |
David L Hancock
|
Dimensions: |
246 x 189 x 10mm (L x W x T) |
Format: |
Paperback - Trade
|
Pages: |
182 |
ISBN-13: |
978-1-249-58665-4 |
Categories: |
Books >
Social sciences >
Education >
General
|
LSN: |
1-249-58665-8 |
Barcode: |
9781249586654 |
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