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SP
1999
IEEE
184views Security Privacy» more  SP 1999»
15 years 2 months ago
A Data Mining Framework for Building Intrusion Detection Models
There is often the need to update an installed Intrusion Detection System (IDS) due to new attack methods or upgraded computing environments. Since many current IDSs are construct...
Wenke Lee, Salvatore J. Stolfo, Kui W. Mok
ATAL
2004
Springer
15 years 1 months ago
IDReAM: Intrusion Detection and Response Executed with Agent Mobility
This paper deals with a new approach to build a completely distributed and decentralized Intrusion Detection and Response System (IDRS) in computer networks. This approach is call...
Noria Foukia
INFOCOM
2006
IEEE
15 years 3 months ago
A Statistical Framework for Intrusion Detection in Ad Hoc Networks
— We focus on detecting intrusions in ad hoc networks using the misuse detection technique. We allow for detection modules that periodically fail to detect attacks and also gener...
Dhanant Subhadrabandhu, Saswati Sarkar, Farooq Anj...
AAAI
2006
14 years 11 months ago
When Gossip is Good: Distributed Probabilistic Inference for Detection of Slow Network Intrusions
Intrusion attempts due to self-propagating code are becoming an increasingly urgent problem, in part due to the homogeneous makeup of the internet. Recent advances in anomalybased...
Denver Dash, Branislav Kveton, John Mark Agosta, E...
CORR
2011
Springer
212views Education» more  CORR 2011»
14 years 4 months ago
Combining Neural Networks for Skin Detection
Two types of combining strategies were evaluated namely combining skin features and combining skin classifiers. Several combining rules were applied where the outputs of the skin ...
Chelsia Amy Doukim, Jamal Ahmad Dargham, Ali Cheki...