International Transactions on Education Technology (ITEE)
Vol. 1 No. 1 (2022): ITEE (International Transaction on Education Technology)

Analysis of Machine Learning Systems for Cyber Physical Systems

Anggi Rachmawati (UPBJJ-UT Bogor)
Yossaepurrohman (UPBJJ-UT Bogor)

Article Info

Publish Date
24 Nov 2022

Abstract

This study summarizes major literature reviews on machine learning systems for network analysis and intrusion detection. Furthermore, it provides a brief lesson description of each machine learning approach. Because data is so important in machine learning methods, this study The primary tools for assessing network traffic and spotting anomalies are machine learning approaches, and the study focuses on the datasets utilized in these techniques. This research examine the multiple advantages (reasonable use) that machine learning has made possible, particularly for security and cyber-physical systems, including enhanced intrusion detection techniques and judgment accuracy. Additionally, this study discusses the difficulties of utilizing machine learning for cybersecurity and offers suggestions for further study.

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Journal Info
International Transactions on Education Technology (ITEE)
Website

Abbrev

itee

Publisher

Pandawan Sejahtera Indonesia

Subject

Control & Systems Engineering Social Sciences

Description

Computer Science/informatics, Circular Digital Economy, Computer engineering/computer systems, Software Engineering, Information Technology, Information Systems, Cyber Security, Data Science, Artificial ...