Approaching Real-Time Intrusion Detection through MOVICAB-IDS

被引：0

作者：

Navarro, Marti ^{[1
]}

Herrero, Alvaro ^{[2
]}

Corchado, Emilio ^{[3
]}

Julian, Vicente ^{[1
]}

机构：

[1] Univ Politecn Valencia, Dept Sistemas Informat & Computac, Camino Vera S-N, Valencia 46022, Spain

[2] Univ Burgos, Dept Civil Engn, Burgos 09006, Spain

[3] Univ Salamanca, Dept Informatica Automatica, Salamanca 37008, Spain

来源：

SOFT COMPUTING MODELS IN INDUSTRIAL AND ENVIRONMENTAL APPLICATIONS | 2010年 / 73卷

关键词：

Multiagent Systems; Hybrid Artificial Intelligent Systems; Computer Network Security; Intrusion Detection; Temporal Constraints; Time Bounded Deliberative Process; GAIA METHODOLOGY; IDENTIFICATION; ARCHITECTURE; DESIGN; SYSTEM; AGENT;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents an extension of MOVICAB-IDS, a Hybrid Intelligent Intrusion Detection System characterized by incorporating temporal control to enable real-time processing and response. The original formulation of MOVICAB-IDS combines artificial neural networks and case-based reasoning within a rnultiagent system to perform Intrusion Detection in dynamic computer networks. The contribution of the anytime algorithm, one of the most promising to adapt Artificial Intelligent techniques to real-time requirements; is comprehensively presented in this work.

引用

页码：9 / +

页数：4

共 26 条

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