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Mobile Hybrid Intrusion Detection: The MOVICAB-IDS System PDF

156 Pages·2011·3.262 MB·English
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by Álvaro Herrero, Emilio Corchado (auth.)| 2011| 156 pages| 3.262| English

About Mobile Hybrid Intrusion Detection: The MOVICAB-IDS System

This monograph comprises work on network-based Intrusion Detection (ID) that is grounded in visualisation and hybrid Artificial Intelligence (AI). It has led to the design of MOVICAB-IDS (MObile VIsualisation Connectionist Agent-Based IDS), a novel Intrusion Detection System (IDS), which is comprehensively described in this book.This novel IDS combines different AI paradigms to visualise network traffic for ID at packet level. It is based on a dynamic Multiagent System (MAS), which integrates an unsupervised neural projection model and the Case-Based Reasoning (CBR) paradigm through the use of deliberative agents that are capable of learning and evolving with the environment.The proposed novel hybrid IDS provides security personnel with a synthetic, intuitive snapshot of network traffic and protocol interactions. This visualisation interface supports the straightforward detection of anomalous situations and their subsequent identification. The performance of MOVICAB-IDS was tested through a novel mutation-based testing method in different real domains which entailed several attacks and anomalous situations.

Detailed Information

Author:Álvaro Herrero, Emilio Corchado (auth.)
Publication Year:2011
ISBN:9783642182983
Pages:156
Language:English
File Size:3.262
Format:PDF
Price:FREE
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