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» Utilizing Neural Networks For Effective Intrusion Detection
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IPPS
2009
IEEE
14 years 2 months ago
Performance analysis of distributed intrusion detection protocols for mobile group communication systems
Under highly security vulnerable, resource restricted, and dynamically changing mobile ad hoc environments, it is critical to be able to maximize the system lifetime while boundin...
Jin-Hee Cho, Ing-Ray Chen
AINA
2007
IEEE
14 years 1 months ago
Intrusion Detection for Encrypted Web Accesses
As various services are provided as web applications, attacks against web applications constitute a serious problem. Intrusion Detection Systems (IDSes) are one solution, however,...
Akira Yamada, Yutaka Miyake, Keisuke Takemori, Ahr...
TIFS
2008
154views more  TIFS 2008»
13 years 7 months ago
Data Fusion and Cost Minimization for Intrusion Detection
Abstract--Statistical pattern recognition techniques have recently been shown to provide a finer balance between misdetections and false alarms than the more conventional intrusion...
Devi Parikh, Tsuhan Chen
ACSAC
2003
IEEE
13 years 11 months ago
Bayesian Event Classification for Intrusion Detection
Intrusion detection systems (IDSs) attempt to identify attacks by comparing collected data to predefined signatures known to be malicious (misuse-based IDSs) or to a model of lega...
Christopher Krügel, Darren Mutz, William K. R...
IJNSEC
2006
132views more  IJNSEC 2006»
13 years 7 months ago
Alert Correlation for Extracting Attack Strategies
Alert correlation is an important technique for managing large the volume of intrusion alerts that are raised by heterogenous Intrusion Detection Systems (IDSs). The recent trend ...
Bin Zhu, Ali A. Ghorbani