Cybersecurity Anomaly Detection using Power BI
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 ano...
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| Format: | Final Year Project |
| Language: | English |
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2022
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| Online Access: | http://utpedia.utp.edu.my/id/eprint/24524/1/Cybersecurity%20Anomaly%20Detection%20using%20Power%20BI.pdf http://utpedia.utp.edu.my/id/eprint/24524/ |
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oai:utpedia.utp.edu.my:245242023-05-18T06:59:53Z http://utpedia.utp.edu.my/id/eprint/24524/ Cybersecurity Anomaly Detection using Power BI Fairuz, Muhammad Irfan T Technology (General) 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. 2022-09 Final Year Project NonPeerReviewed text en http://utpedia.utp.edu.my/id/eprint/24524/1/Cybersecurity%20Anomaly%20Detection%20using%20Power%20BI.pdf Fairuz, Muhammad Irfan (2022) Cybersecurity Anomaly Detection using Power BI. [Final Year Project] (Submitted) |
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T Technology (General) |
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T Technology (General) Fairuz, Muhammad Irfan Cybersecurity Anomaly Detection using Power BI |
| description |
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. |
| format |
Final Year Project |
| author |
Fairuz, Muhammad Irfan |
| author_facet |
Fairuz, Muhammad Irfan |
| author_sort |
Fairuz, Muhammad Irfan |
| title |
Cybersecurity Anomaly Detection using Power BI |
| title_short |
Cybersecurity Anomaly Detection using Power BI |
| title_full |
Cybersecurity Anomaly Detection using Power BI |
| title_fullStr |
Cybersecurity Anomaly Detection using Power BI |
| title_full_unstemmed |
Cybersecurity Anomaly Detection using Power BI |
| title_sort |
cybersecurity anomaly detection using power bi |
| publishDate |
2022 |
| url |
http://utpedia.utp.edu.my/id/eprint/24524/1/Cybersecurity%20Anomaly%20Detection%20using%20Power%20BI.pdf http://utpedia.utp.edu.my/id/eprint/24524/ |
| _version_ |
1768010136686690304 |
| score |
13.214268 |