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Mobile Hybrid Intrusion Detection

The MOVICAB-IDS System

  • Book
  • © 2011

Overview

  • Recent research in Mobile Hybrid Intrusion Detection
  • Comprehensive description of the MOVICAB-IDS, a novel Intrusion Detection System
  • Written by leading experts in the field

Part of the book series: Studies in Computational Intelligence (SCI, volume 334)

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Table of contents (7 chapters)

Keywords

About this book

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.

Authors and Affiliations

  • Civil Engineering Department Polytechnic School, University of Burgos , Burgos, Spain

    Álvaro Herrero

  • Departamento de Informáca y Automtica Facultad de Biología, University of Salamanca , Salamanca, Spain

    Emilio Corchado

Bibliographic Information

  • Book Title: Mobile Hybrid Intrusion Detection

  • Book Subtitle: The MOVICAB-IDS System

  • Authors: Álvaro Herrero, Emilio Corchado

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-642-18299-0

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer Berlin Heidelberg 2011

  • Hardcover ISBN: 978-3-642-18298-3Published: 19 January 2011

  • Softcover ISBN: 978-3-642-42341-3Published: 09 October 2014

  • eBook ISBN: 978-3-642-18299-0Published: 28 January 2011

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: IX, 146

  • Topics: Computational Intelligence, Artificial Intelligence

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