Security of Distributed Intrusion Detection System Based on Multisensor Fusion

Abstract

Intrusion detection is a system pointed to identification of unauthorized use, or intrusion attempt in computer network environment. IDS systems are based on behavior prediction of attacker and legitimate user of computer network. For more accurately identification of security events, this proposal suggests use of customized DIDS (distributed intrusion detection systems), which combines distributed monitoring using external sensors and centralized data analysis. The main problem in this project is fusion and interpretation of events from multiple sensor networks. For this purpose are applied alignment methods, data fusion and filtration on elements of sensor system. This proposal is the part of the project dealing with design of the security model within the Department of Computers and Informatics.