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IEEEVAST
2010
13 years 2 months ago
Anomaly detection in GPS data based on visual analytics
Modern machine learning techniques provide robust approaches for data-driven modeling and critical information extraction, while human experts hold the advantage of possessing hig...
Zicheng Liao, Yizhou Yu, Baoquan Chen
VIZSEC
2005
Springer
14 years 1 months ago
IDS RainStorm: Visualizing IDS Alarms
The massive amount of alarm data generated from intrusion detection systems is cumbersome for network system administrators to analyze. Often, important details are overlooked and...
Kulsoom Abdullah, Christopher P. Lee, Gregory J. C...
CCS
2006
ACM
13 years 11 months ago
Evading network anomaly detection systems: formal reasoning and practical techniques
Attackers often try to evade an intrusion detection system (IDS) when launching their attacks. There have been several published studies in evasion attacks, some with available to...
Prahlad Fogla, Wenke Lee
VIZSEC
2005
Springer
14 years 1 months 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...
ICC
2007
IEEE
14 years 2 months ago
Using Session-Keystroke Mutual Information to Detect Self-Propagating Malicious Codes
— In this paper, we propose an endpoint-based joint network-host anomaly detection technique to detect selfpropagating malicious codes. Our proposed technique is based on the obs...
Syed A. Khayam, Hayder Radha