التفاصيل البيبلوغرافية
| العنوان: |
EXPLORING THE EFFECTIVENESS OF ARTIFICIAL INTELLIGENCE IN DETECTING MALWARE AND IMPROVING CYBERSECURITY IN COMPUTER NETWORKS. |
| المؤلفون: |
Komarudin, Maulani, Isma Elan, Herdianto, Tedi, Oga Laksana, Medika, Febri Syawaludin, Dwi |
| المصدر: |
Eduvest: Journal Of Universal Studies; Apr2023, Vol. 3 Issue 4, p836-841, 6p |
| مصطلحات موضوعية: |
CYBERTERRORISM, ARTIFICIAL intelligence, COMPUTER networks, MALWARE, COMPUTER systems, SUPPORT vector machines |
| مستخلص: |
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. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
Complementary Index |
