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Detecting cyber-attacks using a CRPS-based monitoring approach
2018
2018 IEEE Symposium Series on Computational Intelligence (SSCI)
Cyber-attacks can seriously affect the security of computers and network systems. Thus, developing an efficient anomaly detection mechanism is crucial for information protection and cyber security. To accurately detect TCP SYN flood attacks, two statistical schemes based on the continuous ranked probability score (CRPS) metric have been designed in this paper. Specifically, by integrating the CRPS measure with two conventional charts, Shewhart and the exponentially weighted moving average
doi:10.1109/ssci.2018.8628797
dblp:conf/ssci/HarrouB0K18
fatcat:izi5ow6o3za2rfmmnbdoqgirhe