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close this section of the library Anomaly detection (Computer security). Machine learning.


View the PDF document Ransomware anomaly detection using machine learning techniques
Author: Sharma, Priynka Preeti
Institution: The University of the South Pacific
Award: M.Sc.
Subject: Anomaly detection (Computer security). Machine learning.
Date: 2021
Call No.: Pac TK 5105 .59 .S53 2021
BRN: 1392036
Copyright:10-20% of this thesis may be copied without the authors written permission

Abstract: This research focuses on Machine Learning (ML) algorithms for Ransomware anomaly detection. This research will further support enhancing the various developments ahead in recognizing anomaly as far as accuracy, computation time and robustness are concerned. This research work will mainly help to examine a method for anomaly detection in several cybersecurity areas, thus contributing to the enhancement of network application users' safety.
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