IT For Society : Journal of Information Technology
Vol 9, No 2 (2024)

OPTIMIZING NETWORK INTRUSION DETECTION USING A RANDOM FOREST AND XGBOOST CLASSIFIER TO PREDICT ANOMALY ACTIVITY

Ezrafel, Amadeuz (Unknown)
Zuhri, Hasanul (Unknown)
Iswanto, Imron (Unknown)

Article Info

Publish Date
10 Jul 2024

Abstract


Copyrights © 2024




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Journal Info
IT For Society : Journal of Information Technology
Website

Abbrev

Itforsociety

Publisher

President University

Subject

Computer Science & IT

Description

IT For Society (ISSN 2503-2224); E-ISSN 2527-595X) is a biannual peer-reviewed journal published by President University. The journal has a scope relevant and related (but not limited) to information technology and information ...