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» AdaBoost-Based Algorithm for Network Intrusion Detection
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ICC
2007
IEEE
164views Communications» more  ICC 2007»
14 years 1 months ago
A Framework of Attacker Centric Cyber Attack Behavior Analysis
—Cyber attack behavior analysis can be roughly classified as “network centric” and “attacker centric” approaches. Compared with traditional “network centric” approach...
Xuena Peng, Hong Zhao
ICCS
2007
Springer
14 years 1 months ago
DDDAS/ITR: A Data Mining and Exploration Middleware for Grid and Distributed Computing
We describe our project that marries data mining together with Grid computing. Specifically, we focus on one data mining application - the Minnesota Intrusion Detection System (MIN...
Jon B. Weissman, Vipin Kumar, Varun Chandola, Eric...
TISSEC
2008
202views more  TISSEC 2008»
13 years 7 months ago
A Framework for Identifying Compromised Nodes in Wireless Sensor Networks
compromised sensor nodes. The framework provides an appropriate abstraction of applicationspecific detection mechanisms and models the unique properties of sensor networks. Based o...
Qing Zhang, Ting Yu, Peng Ning
CORR
2010
Springer
144views Education» more  CORR 2010»
13 years 7 months ago
Mosaic: Policy Homomorphic Network Extension
With the advent of large-scale cloud computing infrastructures, network extension has emerged as a major challenge in the management of modern enterprise networks. Many enterprise...
L. Erran Li, Michael F. Nowlan, Y. R. Yang
CCS
2006
ACM
13 years 11 months ago
Can machine learning be secure?
Machine learning systems offer unparalled flexibility in dealing with evolving input in a variety of applications, such as intrusion detection systems and spam e-mail filtering. H...
Marco Barreno, Blaine Nelson, Russell Sears, Antho...