A Fuzzy Based Clustering for Intrusion Detection - Saad Sulaiman, Sumaya;Hameed, Sarab M.
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Along with the revolution in communication and information exchange, Internet has also provided greater opportunity for disruption and sabotage of data that was previously considered secure. As malicious intrusions into computer systems have become a growing problem, the need for accurate detecting these intrusions is raised. Intrusion detection becomes an increasingly important technology that monitors network traffic and identifies unauthorized use, misuse and abuse of computer systems. Since normal and abnormal behaviors in computer systems are hard to predict as the boundaries can not be…mehr

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Produktbeschreibung
Along with the revolution in communication and information exchange, Internet has also provided greater opportunity for disruption and sabotage of data that was previously considered secure. As malicious intrusions into computer systems have become a growing problem, the need for accurate detecting these intrusions is raised. Intrusion detection becomes an increasingly important technology that monitors network traffic and identifies unauthorized use, misuse and abuse of computer systems. Since normal and abnormal behaviors in computer systems are hard to predict as the boundaries can not be well defined and this led to production of many false alarms in the detection system so fuzzy intrusion detection was used.
Autorenporträt
Sumaya Saad was born in Baghdad, Iraq in 1983. Received the B.Sc. and M.Sc. degrees in computer science from University of Baghdad, Iraq in 2005and2013, respectively. She is now a lecturer in the Department of Computer Science at the University of Baghdad.Her research areas mainly include network security.She joinsdifferent committees at College.