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Various intrusion detection systems (IDSs) reported in the literature have shown distinct preferences for detecting a certain class of attack with improved accuracy, while performing moderately on the other classes. In view of the enormous computing power available in the present-day processors, deploying multiple IDSs in the same network to obtain best-of-breed solutions has been attempted earlier...
Fusion of multiple intrusion detection systems results in a more reliable and accurate detection for a wider class of intrusions. The paper presented here introduces the mathematical basis for sensor fusion and provides enough support for the acceptability of sensor fusion in performance enhancement of intrusion detection systems. The sensor fusion system is characterized and modeled with no knowledge...
The existing intrusion detection systems are of varied type and hence show distinct preferences in detecting certain types of attacks with improved accuracy, while performing moderately on the other types. With the advances in sensor fusion, it has become possible to obtain a more reliable and accurate decision for a wider class of attacks, by combining the decisions of multiple Intrusion detection...
Various intrusion detection systems reported in literature have shown distinct preferences for detecting a certain class of attacks with improved accuracy, while performing moderately on the other classes. With the advances in sensor fusion, it has become possible to obtain a more reliable and accurate decision for a wider class of attacks, by combining the decisions of multiple intrusion detection...
Sensor fusion using heterogeneous intrusion detection systems are employed to aggregate different views of the same event in order to improve the detection through detector reinforcement or complementarity. The fusion technique proposed in this paper is expected to combine the intrusion detection system outputs with subjective judgements. In this paper, a new evidence model which is an extension and...
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