A Network Intrusion Detection System is a network monitoring framework that tries to detect malicious network activity such as port scans, denial of service or other attempts to crack computer network environments. The main aim of intrusion detection is to identify unauthorized use, misuse, and abuse of computers by external penetrators. In real life, however, temporal changes in network intrusion patterns and characteristics tend to invalidate the usability of existing intrusion detection systems. In order to solve this drawback, our paper introduces a novel kind of fuzzy controller, known as Timed Automata-based Fuzzy Controllers, and it presents a data mining approach able to learn the most suitable controller that manages, in efficient way, the computer network dynamism and support networks' administrators to prevent eventual damages coming from unauthorized network intrusion.

Exploiting Timed Automata-based Fuzzy Controllers and data mining to detect computer network intrusions / Acampora, Giovanni. - (2010), pp. 1-8. (Intervento presentato al convegno 2010 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2010) tenutosi a Barcelona, esp nel 2010) [10.1109/FUZZY.2010.5584893].

Exploiting Timed Automata-based Fuzzy Controllers and data mining to detect computer network intrusions

Acampora Giovanni
2010

Abstract

A Network Intrusion Detection System is a network monitoring framework that tries to detect malicious network activity such as port scans, denial of service or other attempts to crack computer network environments. The main aim of intrusion detection is to identify unauthorized use, misuse, and abuse of computers by external penetrators. In real life, however, temporal changes in network intrusion patterns and characteristics tend to invalidate the usability of existing intrusion detection systems. In order to solve this drawback, our paper introduces a novel kind of fuzzy controller, known as Timed Automata-based Fuzzy Controllers, and it presents a data mining approach able to learn the most suitable controller that manages, in efficient way, the computer network dynamism and support networks' administrators to prevent eventual damages coming from unauthorized network intrusion.
2010
9781424469208
Exploiting Timed Automata-based Fuzzy Controllers and data mining to detect computer network intrusions / Acampora, Giovanni. - (2010), pp. 1-8. (Intervento presentato al convegno 2010 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2010) tenutosi a Barcelona, esp nel 2010) [10.1109/FUZZY.2010.5584893].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/694319
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