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SSDBM
2005
IEEE
175views Database» more  SSDBM 2005»
14 years 1 months ago
Assumption-Free Anomaly Detection in Time Series
Recent advancements in sensor technology have made it possible to collect enormous amounts of data in real time. However, because of the sheer volume of data most of it will never...
Li Wei, Nitin Kumar, Venkata Nishanth Lolla, Eamon...
ACSAC
2008
IEEE
13 years 9 months ago
Behavior-Profile Clustering for False Alert Reduction in Anomaly Detection Sensors
Anomaly Detection (AD) sensors compute behavior profiles to recognize malicious or anomalous activities. The behavior of a host is checked continuously by the AD sensor and an ale...
Vanessa Frías-Martínez, Salvatore J....
SCN
2008
Springer
136views Communications» more  SCN 2008»
13 years 7 months ago
An efficient data structure for network anomaly detection
Abstract-- Despite the rapid advance in networking technologies, detection of network anomalies at high-speed switches/routers is still far from maturity. To push the frontier, two...
Jieyan Fan, Dapeng Wu, Kejie Lu, Antonio Nucci
WWW
2008
ACM
14 years 8 months ago
Web graph similarity for anomaly detection (poster)
Web graphs are approximate snapshots of the web, created by search engines. Their creation is an error-prone procedure that relies on the availability of Internet nodes and the fa...
Panagiotis Papadimitriou 0002, Ali Dasdan, Hector ...
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