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» Network Intrusion Detection System with Data Mart
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AI
2008
Springer
15 years 10 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...
MCS
2010
Springer
15 years 6 months ago
Multiple Classifier Systems under Attack
Abstract. In adversarial classification tasks like spam filtering, intrusion detection in computer networks and biometric authentication, a pattern recognition system must not only...
Battista Biggio, Giorgio Fumera, Fabio Roli
SIGCOMM
2010
ACM
15 years 4 months ago
NetShield: massive semantics-based vulnerability signature matching for high-speed networks
Accuracy and speed are the two most important metrics for Network Intrusion Detection/Prevention Systems (NIDS/NIPSes). Due to emerging polymorphic attacks and the fact that in ma...
Zhichun Li, Gao Xia, Hongyu Gao, Yi Tang, Yan Chen...
IMC
2006
ACM
15 years 10 months ago
binpac: a yacc for writing application protocol parsers
A key step in the semantic analysis of network traffic is to parse the traffic stream according to the high-level protocols it contains. This process transforms raw bytes into s...
Ruoming Pang, Vern Paxson, Robin Sommer, Larry L. ...

Lecture Notes
404views
17 years 2 months ago
Network Security
A comprehensive treatment of network security. Topics include remote access security, DMZ, firewalls, VPNs, PKI architecture, X.509 Public key infrastructure, web security, S-HTTP,...
Raj Jain