Fairuz, Muhammad Irfan (2022) Cybersecurity Anomaly Detection using Power BI. [Final Year Project] (Submitted)
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Cybersecurity Anomaly Detection using Power BI.pdf
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Abstract
Rare events deviate from the majority of regular patterns in a dataset. These events can include any unanticipated behaviour, fraud, intrusion, or suspected aberrant event that may be harmful or useful to the domain application that is unidentified with a large volume of data. These are known as anomalies, and they must be detected since they could be any form of network attack, a sudden drop/increase in sales, the spread of illness, or terrorist activities.
Item Type: | Final Year Project |
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Subjects: | T Technology > T Technology (General) |
Depositing User: | Ms Nurul Aidayana Mohammad Noordin |
Date Deposited: | 18 May 2023 06:59 |
Last Modified: | 18 May 2023 06:59 |
URI: | http://utpedia.utp.edu.my/id/eprint/24524 |