Hasil Turnitin Prosiding: A Survey on The Accuracy of Machine Learning Techniques for Intrusion and Anomaly Detection on Public Data Sets

Tjut Adek, Rizal Hasil Turnitin Prosiding: A Survey on The Accuracy of Machine Learning Techniques for Intrusion and Anomaly Detection on Public Data Sets. IEEE.

[img]
Preview
 Text
Prosiding Databia 2020 - IEEE.pdf - Tjut Adek Rizal.pdf
Download (1MB) | Preview
Item Type: Other
Subjects: T Technology & Engineering > TI Informatics, Information System
Depositing User: Mr. Rizal Tjut Adek
Date Deposited: 25 Oct 2021 07:42
Last Modified: 25 Oct 2021 07:42
URI: http://repository.unimal.ac.id/id/eprint/6842

Actions (login required)

View Item View Item
Digital Library Universitas Malikussaleh is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.