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» Dismantling intrusion prevention systems
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KDD
2002
ACM
157views Data Mining» more  KDD 2002»
14 years 6 months ago
Learning nonstationary models of normal network traffic for detecting novel attacks
Traditional intrusion detection systems (IDS) detect attacks by comparing current behavior to signatures of known attacks. One main drawback is the inability of detecting new atta...
Matthew V. Mahoney, Philip K. Chan
ACSAC
2008
IEEE
14 years 8 days ago
Execution Trace-Driven Automated Attack Signature Generation
In its most general form, an attack signature is a program that can correctly determine if an input network packet sequence can successfully attack a protected network application...
Susanta Nanda, Tzi-cker Chiueh
DSN
2008
IEEE
14 years 7 days ago
Anomaly? application change? or workload change? towards automated detection of application performance anomaly and change
: Automated tools for understanding application behavior and its changes during the application life-cycle are essential for many performance analysis and debugging tasks. Applicat...
Ludmila Cherkasova, Kivanc M. Ozonat, Ningfang Mi,...
CF
2004
ACM
13 years 11 months ago
Repairing return address stack for buffer overflow protection
Although many defense mechanisms against buffer overflow attacks have been proposed, buffer overflow vulnerability in software is still one of the most prevalent vulnerabilities e...
Yong-Joon Park, Gyungho Lee
AGENTS
2001
Springer
13 years 10 months ago
Adjustable autonomy in real-world multi-agent environments
Through adjustable autonomy (AA), an agent can dynamically vary the degree to which it acts autonomously, allowing it to exploit human abilities to improve its performance, but wi...
Paul Scerri, David V. Pynadath, Milind Tambe