Exploring The Effectiveness of Artificial Intelligence in Detecting Malware and Improving Cybersecurity in Computer Networks

Komarudin Komarudin (Universitas Catur Insan Cendikia)
Isma Elan Maulani (Universitas Muhammadiyah Cirebon)
Tedi Herdianto (Universitas Catur Insan Cendikia)
Medika Oga Laksana (Universitas Muhammadiyah Cirebon)
Dwi Febri Syawaludin (Universitas Catur Insan Cendikia)

Eduvest - Journal of Universal Studies
Vol. 3 No. 4 (2023): Journal Eduvest - Journal of Universal Studies

Malware, in particular, has been identified as a major cy-bersecurity challenge due to its ability to infiltrate computer networks, steal sensi-tive data, and cause major damage to computer systems. The purpose of this study was to explore the effectiveness of artificial in-telligence in detecting malware and improving cybersecurity in computer net-works. Success rate in detecting and preventing malware attacks on computer networks using AI-based methods. The time it takes to detect and prevent malware attacks on computer net-works using AI-based cyber protection methods. Furthermore, the selection of two types of malware that are often found on computer networks, namely Trojans and Worms, and data sampling was then test-ed on a simulation system. In this study, three different AI techniques were applied, namely Support Vector Machine, Neural Network , and Decision Tree to detect malware on computer networks.