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Mobile hybrid intrusion detection : the MOVICAB-IDS system / Álvaro Herrero and Emilio Corchado



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Creatore: Herrero, Alvaro Visualizza persona
Titolo: Mobile hybrid intrusion detection : the MOVICAB-IDS system / Álvaro Herrero and Emilio Corchado
Link to work: Mobile hybrid intrusion detection Visualizza cluster
Pubblicazione: Berlin ; Heidelberg : Springer, ©2011
Estensione: 1 online resource (vi, 146 pages) : illustrations.
Tipo formato: computer
Tipo contenuto: text
Tipo supporto: online resource
Disciplina: 005.8
Titolo uniforme di collana: Studies in computational intelligence ; v. 334.
Genere/Forma: Electronic books
Classificazione: TP18
Classificazione LOC: TK5105.59 .H47 2011
Creatori/Collaboratori: Corchado, Emilio
Contenuto supplementare: Includes bibliographical references (pages 129-146).
Nota di contenuto: Visualisation, artificial intelligence, and security -- Previous work on NID -- A novel hybrid IDS -- Experiments and results -- Testing and validation.
Restrizioni accesso: Access is restricted to users affiliated with licensed institutions.
Sommario/riassunto: 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.
Collana: Studies in computational intelligence ; v. 334
ISBN: 9783642182990
3642182992
9783642182983
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 004368017
Localizzazioni e accesso elettronico http://link.springer.com/10.1007/978-3-642-18299-0
Collocazione: Electronic access
Lo trovi qui: New York University