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Intrusion Detection System using datamining techniques: Parallel Approaches Using WEKA Tool - Softcover
Security is a big issue for all networks including defense and government infrastructure. Attacks on network infrastructure are threats against the information security. The Intrusion detection system (IDS) is one that scans incoming data activities and attempt to detect the intrusions. The classification algorithms in IDS are used to categorize the well known large variety of intrusions. In recent years, data mining based IDS have executed good performance. Still challenges exist in the design and implementation of quality IDSs. The goal of this classification and clustering based IDS system is to decrease the False alarm rates and increase the accuracy.
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Prof.Shubha Puthran is M.Tech in Computer Engineering from MPSTME, NMIMS University. B.E in Computer Engineering from M.I.T, Manipal, Mangalore University. She has 9 Papers in national/International Conference, Journals and Posters to her credit. She is Asst.Professor in MPSTME, NMIMS University. She is life time member of ISTE.
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- PublisherLAP LAMBERT Academic Publishing
- Publication date2012
- ISBN 10 3847378716
- ISBN 13 9783847378716
- BindingPaperback
- Number of pages76
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Intrusion Detection System using datamining techniques: Parallel Approaches Using WEKA Tool
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Intrusion Detection System using datamining techniques Parallel Approaches Using WEKA Tool
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Book Description Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Security is a big issue for all networks including defense and government infrastructure. Attacks on network infrastructure are threats against the information security. The Intrusion detection system (IDS) is one that scans incoming data activities and attempt to detect the intrusions. The classification algorithms in IDS are used to categorize the well known large variety of intrusions. In recent years, data mining based IDS have executed good performance. Still challenges exist in the design and implementation of quality IDSs. The goal of this classification and clustering based IDS system is to decrease the False alarm rates and increase the accuracy. 76 pp. Englisch. Seller Inventory # 9783847378716
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Intrusion Detection System using datamining techniques Parallel Approaches Using WEKA Tool
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LAP LAMBERT Academic Publishing
(2012)
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ISBN 13: 9783847378716
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Intrusion Detection System using datamining techniques : Parallel Approaches Using WEKA Tool
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Book Description Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Security is a big issue for all networks including defense and government infrastructure. Attacks on network infrastructure are threats against the information security. The Intrusion detection system (IDS) is one that scans incoming data activities and attempt to detect the intrusions. The classification algorithms in IDS are used to categorize the well known large variety of intrusions. In recent years, data mining based IDS have executed good performance. Still challenges exist in the design and implementation of quality IDSs. The goal of this classification and clustering based IDS system is to decrease the False alarm rates and increase the accuracy. Seller Inventory # 9783847378716
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Intrusion Detection System using datamining techniques
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Book Description Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Puthran ShubhaProf.Shubha Puthran is M.Tech in Computer Engineering from MPSTME, NMIMS University. B.E in Computer Engineering from M.I.T, Manipal, Mangalore University. She has 9 Papers in national/International Conference, Journa. Seller Inventory # 5514377
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