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» Network Intrusion Detection Using Genetic Clustering
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JSW
2008
98views more  JSW 2008»
13 years 8 months ago
Towards a Collaborative and Systematic Approach to Alert Verification
With the menace of hackers increasing every day, even well administrated networks are vulnerable to attack. Therefore, securing network assets has become a significant issue for th...
Xuejiao Liu, Debao Xiao, Xi Peng
AI
2008
Springer
14 years 3 months ago
Using Unsupervised Learning for Network Alert Correlation
Alert correlation systems are post-processing modules that enable intrusion analysts to find important alerts and filter false positives efficiently from the output of Intrusion...
Reuben Smith, Nathalie Japkowicz, Maxwell Dondo, P...
DFN
2009
13 years 9 months ago
Interactive Analysis of NetFlows for Misuse Detection in Large IP Networks
: While more and more applications require higher network bandwidth, there is also a tendency that large portions of this bandwidth are misused for dubious purposes, such as unauth...
Florian Mansmann, Fabian Fischer, Daniel A. Keim, ...
ACSAC
2009
IEEE
14 years 3 months ago
An Empirical Approach to Modeling Uncertainty in Intrusion Analysis
: © An Empirical Approach to Modeling Uncertainty in Intrusion Analysis Xinming Ou, Siva Raj Rajagopalan, Sakthiyuvaraja Sakthivelmurugan HP Laboratories HPL-2009-334 intrusion de...
Xinming Ou, Siva Raj Rajagopalan, Sakthiyuvaraja S...
CEC
2007
IEEE
14 years 3 months ago
A genetic algorithm for solving the binning problem in networked applications detection
Network administrators need a tool that detects the kind of applications running on their networks, in order to allocate resources and enforce security policies. Previous work sho...
Maxim Shevertalov, Edward Stehle, Spiros Mancoridi...