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Malware Analysis using Profile Hidden Markov Models and Intrusion Detection in a Stream Learning Setting
(2018-02-18)
In the last decade, a lot of machine learning and data mining based approaches have been used in the areas of intrusion detection, malware detection and classification and also traffic analysis. In the area of malware ...
Applications Of Machine Learning To Anomaly Based Intrusion Detection
(2009-03-02)
This thesis concerns anomaly detection as a mechanism for intrusion detection in a machine learning framework, using two kinds of audit data : system call traces and Unix shell command traces. Anomaly detection systems ...
On Leveraging Dynamic Processes in Large Social Networks for Smart Cities
The concept of smart city which began as being synonymous with electronically
networked community underwent significant changes with the growth in mobile devices
and social networking. This expanded the outlook of smart ...