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» Learning attack strategies from intrusion alerts
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ISICA
2009
Springer
14 years 1 months ago
Detecting Network Anomalies Using CUSUM and EM Clustering
Abstract. Intrusion detection has been extensively studied in the last two decades. However, most existing intrusion detection techniques detect limited number of attack types and ...
Wei Lu, Hengjian Tong
ICNC
2005
Springer
14 years 5 days ago
Applying Genetic Programming to Evolve Learned Rules for Network Anomaly Detection
The DARPA/MIT Lincoln Laboratory off-line intrusion detection evaluation data set is the most widely used public benchmark for testing intrusion detection systems. But the presence...
Chuanhuan Yin, Shengfeng Tian, Houkuan Huang, Jun ...
RAID
2004
Springer
14 years 1 days ago
HoneyStat: Local Worm Detection Using Honeypots
Worm detection systems have traditionally used global strategies and focused on scan rates. The noise associated with this approach requires statistical techniques and large data s...
David Dagon, Xinzhou Qin, Guofei Gu, Wenke Lee, Ju...
CAI
2005
Springer
13 years 6 months ago
Development of Threat Evaluation Tool for Distributed Network Environment
Current information protection systems only detect and warn against individual intrusion, and are not able to provide a collective and synthesized alert message. In this paper, we ...
Keun-Hee Han, Il-Gon Kim, Kang-Won Lee, Ji-Yeon Ch...
DSN
2004
IEEE
13 years 10 months ago
Intrusion Tolerance and Anti-Traffic Analysis Strategies For Wireless Sensor Networks
Wireless sensor networks face acute security concerns in applications such as battlefield monitoring. A central point of failure in a sensor network is the base station, which act...
Jing Deng, Richard Han, Shivakant Mishra