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» A behavioral approach to worm detection
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KDD
2009
ACM
232views Data Mining» more  KDD 2009»
15 years 10 months ago
Classification of software behaviors for failure detection: a discriminative pattern mining approach
Software is a ubiquitous component of our daily life. We often depend on the correct working of software systems. Due to the difficulty and complexity of software systems, bugs an...
David Lo, Hong Cheng, Jiawei Han, Siau-Cheng Khoo,...
NDSS
2006
IEEE
15 years 3 months ago
Enterprise Security: A Community of Interest Based Approach
Enterprise networks today carry a range of mission critical communications. A successful worm attack within an enterprise network can be substantially more devastating to most com...
Patrick Drew McDaniel, Subhabrata Sen, Oliver Spat...
RAID
2004
Springer
15 years 3 months ago
Seurat: A Pointillist Approach to Anomaly Detection
Abstract. This paper proposes a new approach to detecting aggregated anomalous events by correlating host file system changes across space and time. Our approach is based on a key...
Yinglian Xie, Hyang-Ah Kim, David R. O'Hallaron, M...
109
Voted
BROADNETS
2006
IEEE
15 years 3 months ago
A Statistical Approach to Anomaly Detection in Interdomain Routing
Abstract— A number of events such as hurricanes, earthquakes, power outages can cause large-scale failures in the Internet. These in turn cause anomalies in the interdomain routi...
Shivani Deshpande, Marina Thottan, Tin Kam Ho, Bip...
DSN
2008
IEEE
15 years 4 months ago
AGIS: Towards automatic generation of infection signatures
An important yet largely uncharted problem in malware defense is how to automate generation of infection signatures for detecting compromised systems, i.e., signatures that charac...
Zhuowei Li, XiaoFeng Wang, Zhenkai Liang, Michael ...