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» A fuzzy-genetic approach to network intrusion detection
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CDC
2010
IEEE
127views Control Systems» more  CDC 2010»
14 years 4 months ago
The wireless control network: Monitoring for malicious behavior
We consider the problem of stabilizing a plant with a network of resource constrained wireless nodes. In a companion paper, we developed a protocol where each node repeatedly trans...
Shreyas Sundaram, Miroslav Pajic, Christoforos N. ...
CCS
2007
ACM
15 years 3 months ago
Toward measuring network security using attack graphs
In measuring the overall security of a network, a crucial issue is to correctly compose the measure of individual components. Incorrect compositions may lead to misleading results...
Lingyu Wang, Anoop Singhal, Sushil Jajodia
CONEXT
2007
ACM
14 years 11 months ago
Detecting worm variants using machine learning
Network intrusion detection systems typically detect worms by examining packet or flow logs for known signatures. Not only does this approach mean worms cannot be detected until ...
Oliver Sharma, Mark Girolami, Joseph S. Sventek
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AINA
2009
IEEE
15 years 4 months ago
Similarity Search over DNS Query Streams for Email Worm Detection
Email worms continue to be a persistent problem, indicating that current approaches against this class of selfpropagating malicious code yield rather meagre results. Additionally,...
Nikolaos Chatzis, Nevil Brownlee
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