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» Intrusion Detection with Neural Networks
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DIMVA
2006
13 years 9 months ago
A Fast Worm Scan Detection Tool for VPN Congestion Avoidance
Finding the cause for congested virtual private network (VPN) links that connect an office network over the Internet to remote subsidiaries can be a hassle. Scan traffic of worm i...
Arno Wagner, Thomas Dübendorfer, Roman Hiesta...
ICON
2007
IEEE
14 years 2 months ago
Lightweight Detection of DoS Attacks
Denial of Service (DoS) attacks have continued to evolve and they impact the availability of Internet infrastructure. Many researchers in the field of network security and system ...
Sirikarn Pukkawanna, Vasaka Visoottiviseth, Panita...
AINA
2009
IEEE
14 years 2 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
RAID
2009
Springer
14 years 2 months ago
Protecting a Moving Target: Addressing Web Application Concept Drift
Because of the ad hoc nature of web applications, intrusion detection systems that leverage machine learning techniques are particularly well-suited for protecting websites. The re...
Federico Maggi, William K. Robertson, Christopher ...
ICC
2007
IEEE
164views Communications» more  ICC 2007»
14 years 2 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