Intrusion detection systems and multisensor data fusion
Communications of the ACM
Validation of Sensor Alert Correlators
IEEE Security and Privacy
VIZSEC '05 Proceedings of the IEEE Workshops on Visualization for Computer Security
Mathematical Techniques in Multisensor Data Fusion (Artech House Information Warfare Library)
Mathematical Techniques in Multisensor Data Fusion (Artech House Information Warfare Library)
Visualizing NetFlows for security at line speed: the SIFT tool suite
LISA '05 Proceedings of the 19th conference on Large Installation System Administration Conference - Volume 19
Security Framework for Attack Detection in Computer Networks
Security Framework for Attack Detection in Computer Networks
A cognitive model for alert correlation in a distributed environment
ISI'05 Proceedings of the 2005 IEEE international conference on Intelligence and Security Informatics
Modeling and analysis of network security situation prediction based on covariance likelihood neural
ICIC'11 Proceedings of the 7th international conference on Intelligent Computing: bio-inspired computing and applications
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The underpinning of situational awareness in computer networks is to identify adversaries, estimate impact of attacks, evaluate risks, understand situations and make sound decisions on how to protect valued assets swiftly and accurately. SA also underscores situation assessment in order to make accurate forecast in dynamic and complex environments. In this paper, situational awareness in computer network security is investigated. Functional attributes of situational awareness in computer network security are discussed: dynamism and complexity, automation, realtime processing, multisource data fusion, heterogeneity, security visualisation, decision control, risk assessment, resolution, forecasting and prediction.