Computer Security and Intrusion detection System-A Data Mining Based Approach

2017 ◽  
Author(s):  
Neetu Anand ◽  
◽  
Tapas Kumar ◽  
Keyword(s):  
Data Mining ◽  
Intrusion Detection ◽  
Computer Security ◽  
Intrusion Detection System ◽  
Detection System ◽  
System A

Development and Design of Intelligent Intrusion Detection System Based on Data Mining

2014 ◽  
Vol 602-605 ◽  
pp. 1526-1529
Author(s):  
Hai Yan Chen
Keyword(s):  
Data Mining ◽  
Network Security ◽  
Intrusion Detection ◽  
Computer Security ◽  
Intrusion Detection System ◽  
Social Life ◽  
Detection System ◽  
Intelligent Agent ◽  
Security System ◽  
Security Problem

With the popularization and development of Internet, the network has penetrated into every corner of social life. Network brings people convenient but at the same time it also brings a series of safety problems. Intrusion detection system is an important part of network security system. Computer security problem is increasingly prominent, which puts forward higher requirements on intrusion detection system. In this paper, the application of data mining and intelligent Agent detection in the intrusion detection system is researched.

DECISION MAKING FOR NETWORK HEALTH ASSESSMENT IN AN INTELLIGENT INTRUSION DETECTION SYSTEM ARCHITECTURE

2004 ◽  
Vol 03 (02) ◽  
pp. 281-306 ◽  
Author(s):  
AMBAREEN SIRAJ ◽  
RAYFORD B. VAUGHN ◽  
SUSAN M. BRIDGES
Keyword(s):  
Intrusion Detection ◽  
Computer Security ◽  
Intrusion Detection System ◽  
Detection System ◽  
Health Assessment ◽  
Fuzzy Rule ◽  
Fuzzy Cognitive Maps ◽  
Causal Knowledge ◽  
Knowledge Reasoning ◽  
Decision Engine

This paper describes the use of artificial intelligence techniques in the creation of a network-based decision engine for decision support in an Intelligent Intrusion Detection System (IIDS). In order to assess overall network health, the decision engine fuses outputs from different intrusion detection sensors serving as "experts" and then analyzes the integrated information to present an overall security view of the system for the security administrator. This paper reports on the workings of a decision engine that has been successfully embedded into the IIDS architecture being built at the Center for Computer Security Research, Mississippi State University. The decision engine uses Fuzzy Cognitive Maps (FCM)s and fuzzy rule-bases for causal knowledge acquisition and to support the causal knowledge reasoning process.

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