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KDD
2002
ACM
157views Data Mining» more  KDD 2002»
14 years 8 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
SASN
2006
ACM
14 years 1 months ago
Autonomous and distributed node recovery in wireless sensor networks
Intrusion or misbehaviour detection systems are an important and widely accepted security tool in computer and wireless sensor networks. Their aim is to detect misbehaving or faul...
Mario Strasser, Harald Vogt
HASE
2008
IEEE
13 years 7 months ago
Randomization Based Probabilistic Approach to Detect Trojan Circuits
In this paper, we propose a randomization based technique to verify whether a manufactured chip conforms to its design or is infected by any trojan circuit. A trojan circuit can be...
Susmit Jha, Sumit Kumar Jha
FLAIRS
2001
13 years 9 months ago
A Background Layer of Health Monitoring and Error Handling for ObjectAgent
ObjectAgent is an agent-based, message-passing software architecture that utilizes natural language processing to provide autonomous control to complex systems. As a form of distr...
Joseph B. Mueller, Derek M. Surka, Joy J. Lin
VIZSEC
2005
Springer
14 years 1 months ago
A User-centered Look at Glyph-based Security Visualization
This paper presents the Intrusion Detection toolkit (IDtk), an information Visualization tool for intrusion detection (ID). IDtk was developed through a user-centered design proce...
Anita Komlodi, Penny Rheingans, Utkarsha Ayachit, ...