DOIONLINE 
DOIONLINE Publish In |
International Journal of Industrial Electronics and Electrical Engineering (IJIEEE)-IJIEEE |
 Journal Home Volume Issue |
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Issue |
Volume-4,Issue-3 ( Mar, 2016 ) | |||||||||
Paper Title |
Review Of Anomaly Detection Based On Signal Processing Techniques | |||||||||
Author Name |
Vaishali Warake, Yashwant Kale, Zia Saquib | |||||||||
Affilition |
M. Tech in Electronics and communication engineering, Usha Mittal Institute of Technology, SNDT Women’s University, Santacruz (w.), Mumbai Associate Professor, Electronics and communication engineering, Usha Mittal Institute of Technology, SNDT Women’s University, Santacruz (w.), Mumbai Executive director of Centre for Development of Advanced Computing, Juhu, Mumbai | |||||||||
Pages |
16-19 | |||||||||
Abstract |
An anomaly based intrusion is a system for identifying computer or monitoring system intrusions and misuse by monitoring system activity and classifying it as either normal or malicious. The classification is based on heuristics, patterns, rules, or signatures, and attempts to discern any type of fraud that falls out of normal system operation. Anomaly detection is major issue that has been analyzed within omnifarious research fields and application domains. This survey tries to provide a overview of the research on anomaly detection based on signal processing technique. Keywords— Anomaly Intrusion Detection, Signature Intrusion Detection, Monitoring system. | |||||||||
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