Browsing Software Research Institute (Midlands) by Subject "Anomaly detection"
Now showing items 1-2 of 2
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Anomalous distributed traffic: detecting cyber security attacks amongst microservices using graph convolutional networks
(Elsevier, 2022-04-22)Currently, microservices are trending as the most popular software application design architecture. Software organisations are also being targeted by more cyber-attacks every day and newer security measures are in high ... -
NetFlow anomaly detection through parallel cluster density analysis in continuous time-series.
(Springer, 2017-06)The increase in malicious network based attacks has resulted in a growing interest in network anomaly detection. The ability to detect unauthorized or malicious activity on a network is of importance to any organization. ...