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» Detecting Anomalies and Intruders
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ICCV
2009
IEEE
16 years 4 months ago
Modelling Activity Global Temporal Dependencies using Time Delayed Probabilistic Graphical Model
We present a novel approach for detecting global behaviour anomalies in multiple disjoint cameras by learning time delayed dependencies between activities cross camera views. Sp...
Chen Change Loy, Tao Xiang and Shaogang Gong
AAAI
2012
13 years 2 months ago
Learning Behavior Models for Hybrid Timed Systems
A tailored model of a system is the prerequisite for various analysis tasks, such as anomaly detection, fault identification, or quality assurance. This paper deals with the algo...
Oliver Niggemann, Benno Stein, Asmir Vodencarevic,...
APNOMS
2006
Springer
15 years 3 months ago
Signature-Aware Traffic Monitoring with IPFIX
Traffic monitoring is essential for accounting user traffic and detecting anomaly traffic such as Internet worms or P2P file sharing applications. Since typical Internet traffic mo...
Youngseok Lee, Seongho Shin, Taeck-Geun Kwon
SP
2006
IEEE
127views Security Privacy» more  SP 2006»
15 years 5 months ago
Siren: Catching Evasive Malware (Short Paper)
With the growing popularity of anomaly detection systems, which is due partly to the rise in zero-day attacks, a new class of threats have evolved where the attacker mimics legiti...
Kevin Borders, Xin Zhao, Atul Prakash
ATC
2006
Springer
15 years 3 months ago
Multi-level Model-Based Self-diagnosis of Distributed Object-Oriented Systems
Self-healing relies on correct diagnosis of system malfunctioning. This paper presents a use-case based approach to self-diagnosis. Both a static and a dynamic model of a managed-s...
A. Reza Haydarlou, Benno J. Overeinder, Michel A. ...