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29-30
of 4327 Papers
TO REDUCE THE FALSE ALARM IN INTRUSION DETECTION SYSTEM USING SELF ORGANIZING MAP
Published In: INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING, COMMUNICATION AND NETWORKS
Author(s): NEETESH GUPTA , RITU RANJANI SINGH
Abstract: Intrusion detection systems aim to identify attacks with a high detection rate and a low false alarm rate. Classification-based data mining models for intrusion detection are often ineffective in dealing with dynamic changes in intrusion patterns and characteristics
- Publication Date: 03-Jun-2011
- DOI: 10.15224/978-981-07-1847-3-1027
- Views: 0
- Downloads: 0
PERFORMANCE IMPROVEMENT OF WEB USAGE MINING BY USING LEARNING BASED K-MEAN CLUSTERING
Published In: INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING, COMMUNICATION AND NETWORKS
Author(s): NEETESH GUPTA , VINITA SHRIVASTAVA
Abstract: Due to the increasing amount of data available online, the World Wide Web has becoming one of the most valuable resources for information retrievals and knowledge discoveries. Web mining technologies are the right solutions for knowledge discovery on the Web.
- Publication Date: 03-Jun-2011
- DOI: 10.15224/978-981-07-1847-3-1027
- Views: 0
- Downloads: 0