IEEE Transactions on Software Engineering - Special issue on computer security and privacy
Protection and security on the information superhighway
Protection and security on the information superhighway
Classification and detection of computer intrusions
Classification and detection of computer intrusions
Security in computing
Testing and evaluating computer intrusion detection systems
Communications of the ACM
Intrusion Detection
Information Security: An Integrated Collection of Essays
Information Security: An Integrated Collection of Essays
Bro: a system for detecting network intruders in real-time
SSYM'98 Proceedings of the 7th conference on USENIX Security Symposium - Volume 7
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The explosive growth of the traffic in computer systems has made it clear that traditional control techniques are not adequate to provide the system users fast access to network resources and prevent unfair uses. In this paper, we present a reconfigurable digital hardware implementation of a specific neural model for intrusion detection. It uses a specific vector of characterization of the network packages (intrusion vector) which is starting from information obtained during the access intent. This vector will be treated by the system. Our approach is adaptative and to detecting these intrusions by using a complex artificial intelligence method known as multilayer perceptron. The implementation have been developed and tested into a reconfigurable hardware (FPGA) for embedded systems. Finally, the Intrusion detection system was tested in a real-world simulation to gauge its effectiveness and real-time response.