Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Intrusion detection systems and multisensor data fusion
Communications of the ACM
Intrusion detection
The base-rate fallacy and the difficulty of intrusion detection
ACM Transactions on Information and System Security (TISSEC)
Using artificial anomalies to detect unknown and known network intrusions
Knowledge and Information Systems
Towards the reduction of data used for the classification of network flows
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part II
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The designed architecture of intrusion detection system uses a two-layer hybrid model for detecting intrusions. The system processes network flows in real communication operation and provides processing of these data in real time. First layer consists of detection sensors which provide basic processing of input data based on statistical methods with a direct connection to countermeasure modules. Performance and accuracy of the designed system is ensured with central distributed processing, in which the detection of generalized description of partial ordered events is used, preventing the intrusion itself. By this the attack variability of the same type are provided.