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» Privacy intrusion detection using dynamic Bayesian networks
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COMCOM
2007
149views more  COMCOM 2007»
14 years 9 months ago
Adaptive security design with malicious node detection in cluster-based sensor networks
Distributed wireless sensor networks have problems on detecting and preventing malicious nodes, which always bring destructive threats and compromise multiple sensor nodes. Theref...
Meng-Yen Hsieh, Yueh-Min Huang, Han-Chieh Chao
ICCCN
2007
IEEE
15 years 4 months ago
Fates: A Granular Approach to Real-Time Anomaly Detection
— Anomaly-based intrusion detection systems have the ability of detecting novel attacks, but in real-time detection, they face the challenges of producing many false alarms and f...
Jeff Janies, Chin-Tser Huang
ECRIME
2007
15 years 1 months ago
A comparison of machine learning techniques for phishing detection
There are many applications available for phishing detection. However, unlike predicting spam, there are only few studies that compare machine learning techniques in predicting ph...
Saeed Abu-Nimeh, Dario Nappa, Xinlei Wang, Suku Na...
ACSAC
2002
IEEE
15 years 2 months ago
Beyond the Perimeter: the Need for Early Detection of Denial of Service Attacks
The threat to organisations from network attacks is very real. Current countermeasures to denial of service (DoS) attacks rely on the perimeter model of network security. However,...
John Haggerty, Qi Shi, Madjid Merabti
UM
2005
Springer
15 years 3 months ago
Data-Driven Refinement of a Probabilistic Model of User Affect
We present further developments in our work on using data from real users to build a probabilistic model of user affect based on Dynamic Bayesian Networks (DBNs) and designed to de...
Cristina Conati, Heather Maclaren