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» Statistical anomaly detection with sensor networks
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SDM
2009
SIAM
123views Data Mining» more  SDM 2009»
14 years 4 months ago
Tracking User Mobility to Detect Suspicious Behavior.
Popularity of mobile devices is accompanied by widespread security problems, such as MAC address spoofing in wireless networks. We propose a probabilistic approach to temporal an...
Gaurav Tandon, Philip K. Chan
SP
2008
IEEE
176views Security Privacy» more  SP 2008»
14 years 1 months ago
Casting out Demons: Sanitizing Training Data for Anomaly Sensors
The efficacy of Anomaly Detection (AD) sensors depends heavily on the quality of the data used to train them. Artificial or contrived training data may not provide a realistic v...
Gabriela F. Cretu, Angelos Stavrou, Michael E. Loc...
IMC
2009
ACM
14 years 2 months ago
ANTIDOTE: understanding and defending against poisoning of anomaly detectors
Statistical machine learning techniques have recently garnered increased popularity as a means to improve network design and security. For intrusion detection, such methods build ...
Benjamin I. P. Rubinstein, Blaine Nelson, Ling Hua...
DISCEX
2003
IEEE
14 years 23 days ago
Statistical Approaches to DDoS Attack Detection and Response
The nature of the threats posed by Distributed Denial of Service (DDoS) attacks on large networks, such as the Internet, demands effective detection and response methods. These me...
Laura Feinstein, Dan Schnackenberg, Ravindra Balup...
VIZSEC
2005
Springer
14 years 28 days ago
IDGraphs: Intrusion Detection and Analysis Using Histographs
Traffic anomalies and attacks are commonplace in today’s networks and identifying them rapidly and accurately is critical for large network operators. For a statistical intrusi...
Pin Ren, Yan Gao, Zhichun Li, Yan Chen, Benjamin W...