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: 18.78 EUR
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Автор: David L Hancock

Език:

Корици: С меки корици

Издател: Biblioscholar

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18.78 € 36.73 лв

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

Информация за книгата

Автор

David L Hancock

Език

Английски език

Корици

Книга - С меки корици

Издадена

2012

страници

182

EAN

9781249586654

ISBN

9781249586654

Enbook ID

08141949

Издател

Biblioscholar

Теглоt

336

Размери

189 x 246 x 10

Пълно описание

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

Информация за книгата

Пълно описание

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