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TSMC
2008
172views more  TSMC 2008»
15 years 6 months ago
AdaBoost-Based Algorithm for Network Intrusion Detection
Abstract--Network intrusion detection aims at distinguishing the attacks on the Internet from normal use of the Internet. It is an indispensable part of the information security sy...
Weiming Hu, Wei Hu, Stephen J. Maybank
AAAI
2006
15 years 7 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...
CSE
2009
IEEE
15 years 9 months ago
Self-Adaptation of Fault Tolerance Requirements Using Contracts
Fault tolerance is a constant concern in data centers where servers have to run with a minimal level of failures. Changes on the operating conditions or on server demands, and var...
André Luiz B. Rodrigues, Leila N. Bezerra, ...
ISCA
2005
IEEE
134views Hardware» more  ISCA 2005»
15 years 12 months ago
A High Throughput String Matching Architecture for Intrusion Detection and Prevention
Network Intrusion Detection and Prevention Systems have emerged as one of the most effective ways of providing security to those connected to the network, and at the heart of alm...
Lin Tan, Timothy Sherwood
ACSAC
2003
IEEE
15 years 10 months ago
Bayesian Event Classification for Intrusion Detection
Intrusion detection systems (IDSs) attempt to identify attacks by comparing collected data to predefined signatures known to be malicious (misuse-based IDSs) or to a model of lega...
Christopher Krügel, Darren Mutz, William K. R...