Fuzzy logic: intelligence, control, and information
Fuzzy logic: intelligence, control, and information
Fuzzy sets as a basis for a theory of possibility
Fuzzy Sets and Systems
Aggregation and Correlation of Intrusion-Detection Alerts
RAID '00 Proceedings of the 4th International Symposium on Recent Advances in Intrusion Detection
A dynamic fusion approach for security situation assessment
CNIS '07 Proceedings of the Fourth IASTED International Conference on Communication, Network and Information Security
A cognitive model for alert correlation in a distributed environment
ISI'05 Proceedings of the 2005 IEEE international conference on Intelligence and Security Informatics
Information combination operators for data fusion: a comparative review with classification
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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Situational understanding is a difficult problem in cybersecurity where the challenge lies in effective integration of evidence reported by multiple sources or sensors monitoring cyberspace. While sensor diversity contributes to better coverage of attack space, it makes analysis of diverse data more difficult. Our work employs a possibilistic approach to intelligent fusion of data from multiple sources to better understand security situation of information systems. This paper summarizes our previous work in this area and presents goal of our ongoing work.