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ASPLOS
2006
ACM
14 years 1 months ago
HeapMD: identifying heap-based bugs using anomaly detection
We present the design, implementation, and evaluation of HeapMD, a dynamic analysis tool that finds heap-based bugs using anomaly detection. HeapMD is based upon the observation ...
Trishul M. Chilimbi, Vinod Ganapathy
INFOCOM
2010
IEEE
13 years 6 months ago
A Signal Processing View on Packet Sampling and Anomaly Detection
—Anomaly detection methods typically operate on pre-processed, i.e., sampled and aggregated, traffic traces. Most traffic capturing devices today employ random packet sampling,...
Daniela Brauckhoff, Kavé Salamatian, Martin...
PAMI
2006
193views more  PAMI 2006»
13 years 7 months ago
A System for Learning Statistical Motion Patterns
Analysis of motion patterns is an effective approach for anomaly detection and behavior prediction. Current approaches for the analysis of motion patterns depend on known scenes, w...
Weiming Hu, Xuejuan Xiao, Zhouyu Fu, Dan Xie, Tien...
EDBTW
2010
Springer
14 years 2 months ago
Key escrow schemes with sliding window for privacy-aware anomaly detection system
Requirements for a traffic monitoring system can be very demanding as both privacy and performance aspects have to be taken into account jointly. Moreover, the legislation sets fo...
Esa Hyytiä, Ivan Gojmerac, Simone Teofili, Gi...
VLDB
2007
ACM
164views Database» more  VLDB 2007»
14 years 8 months ago
A new intrusion detection system using support vector machines and hierarchical clustering
Whenever an intrusion occurs, the security and value of a computer system is compromised. Network-based attacks make it difficult for legitimate users to access various network ser...
Latifur Khan, Mamoun Awad, Bhavani M. Thuraisingha...