Cybersecurity Anomaly Detection using Power BI

Fairuz, Muhammad Irfan (2022) Cybersecurity Anomaly Detection using Power BI. [Final Year Project] (Submitted)

[thumbnail of Cybersecurity Anomaly Detection using Power BI.pdf] Text
Cybersecurity Anomaly Detection using Power BI.pdf
Restricted to Registered users only

Download (1MB)

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
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

Actions (login required)

View Item
View Item