Multi Agent System for Flow-Based Intrusion Detection Using Reputation and Evolutionary Computation

Name: Multi Agent System for Flow-Based Intrusion Detection Using Reputation and Evolutionary Computation
Brand: Biblioscholar
SKU: 9781249586654
Price: 79.71 PLN
Availability: InStock

Autor: David L Hancock

Język:

Oprawa: Miękka

Wydawca: Biblioscholar

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The rising sophistication of cyber threats as well as the improvement of physical computer network p...

Informacje o książce

Autor

David L Hancock

Język

Angielski

Oprawa

Książka - Miękka

Data wydania

2012

strony

182

EAN

9781249586654

ISBN

9781249586654

Enbook ID

08141949

Wydawca

Biblioscholar

Waga

336

Wymiary

189 x 246 x 10

Pełny opis

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.

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Multi Agent System for Flow-Based Intrusion Detection Using Reputation and Evolutionary Computation

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