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ISSTA
2009
ACM
13 years 12 months ago
AVA: automated interpretation of dynamically detected anomalies
Dynamic analysis techniques have been extensively adopted to discover causes of observed failures. In particular, anomaly detection techniques can infer behavioral models from obs...
Anton Babenko, Leonardo Mariani, Fabrizio Pastore
RAID
2009
Springer
13 years 12 months ago
Adaptive Anomaly Detection via Self-calibration and Dynamic Updating
The deployment and use of Anomaly Detection (AD) sensors often requires the intervention of a human expert to manually calibrate and optimize their performance. Depending on the si...
Gabriela F. Cretu-Ciocarlie, Angelos Stavrou, Mich...
MASCOTS
2010
13 years 6 months ago
OnTimeDetect: Dynamic Network Anomaly Notification in perfSONAR Deployments
To monitor and diagnose bottlenecks on network paths used for large-scale data transfers, there is an increasing trend to deploy measurement frameworks such as perfSONAR. These dep...
Prasad Calyam, Jialu Pu, Weiping Mandrawa, Ashok K...
CCGRID
2006
IEEE
13 years 11 months ago
INTCTD: A Peer-to-Peer Approach for Intrusion Detection
In this paper we propose a peer-to-peer (P2P) prototype (INTCTD) for intrusion detection over an overlay network. INTCTD is a distributed system based on neural networks for detec...
Catalin Dumitrescu
SP
1991
IEEE
121views Security Privacy» more  SP 1991»
13 years 9 months ago
The SRI IDES Statistical Anomaly Detector
SRI International’s real-time intrusion-detection expert system (IDES) system contains a statistical subsystem that observes behavior on a moniioreci cornpuier system and adapti...
H. S. Javitz, A. Valdes