IEEE Transactions on Software Engineering - Special issue on computer security and privacy
IEEE Spectrum
Database security
Intrusion detection: approach and performance issues of the SECURENET system
Computers and Security
Dissolving active networks privacy threats and vulnerabilities
WSEAS TRANSACTIONS on COMMUNICATIONS
The effect of training set size for the performance of neural networks of classification
WSEAS Transactions on Computers
Diffusing RFID-sensor networks and security threats
WSEAS Transactions on Signal Processing
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Intrusion Detection is a major focus of research in the security of computer systems and networks. This paper presents an analysis of Artificial Neural Networks (ANN) being used in the development of effective Intrusion Detection Systems for computer systems and computer networks. The ANNs technologies, which are discussed, are designed to detect instances of the access of computer systems by unauthorized individuals and the misuse of system resources. A review of the foundations of Intrusion Detection Systems and other ANNs, which are the focus of current development efforts, is presented. The results of comparative analysis of different ANNs in Intrusion Detection are discussed. Finally, a discussion of the future ANN technologies, which guarantee to enhance the ability of computer systems to detect intrusions is provided.