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VLDB
2007
ACM
164views Database» more  VLDB 2007»
14 years 6 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...
SP
2003
IEEE
107views Security Privacy» more  SP 2003»
13 years 11 months ago
Anomaly Detection Using Call Stack Information
The call stack of a program execution can be a very good information source for intrusion detection. There is no prior work on dynamically extracting information from call stack a...
Henry Hanping Feng, Oleg M. Kolesnikov, Prahlad Fo...
SIGCOMM
2010
ACM
13 years 6 months ago
ASTUTE: detecting a different class of traffic anomalies
When many flows are multiplexed on a non-saturated link, their volume changes over short timescales tend to cancel each other out, making the average change across flows close to ...
Fernando Silveira, Christophe Diot, Nina Taft, Ram...
SPIN
2012
Springer
11 years 8 months ago
Counterexample Explanation by Anomaly Detection
Since counterexamples generated by model checking tools are only symptoms of faults in the model, a significant amount of manual work is required in order to locate the fault that...
Stefan Leue, Mitra Tabaei Befrouei
ICDCS
2012
IEEE
11 years 8 months ago
Tiresias: Online Anomaly Detection for Hierarchical Operational Network Data
Operational network data, management data such as customer care call logs and equipment system logs, is a very important source of information for network operators to detect prob...
Chi-Yao Hong, Matthew Caesar, Nick G. Duffield, Ji...