Malware Detection Using Machine Learning Techniques: A Review.

Saadoon, Mohammed; Faisal, Suhad

Cybersecurity has become an important priority requiring immediate response. Threats have become a commonplace phenomenon. This paper will examine malware, a kind of cybersecurity encompassing harmful software that expropriates data and jeopardizes privacy and security. We will elucidate the application of malware analysis and machine learning methodologies for detection. Currently, fraudsters employ polymorphic malware that utilizes strategies challenging for conventional detection technologies to identify. Therefore, this study will utilize a survey on machine learning algorithms that facilitate the detection of different malware types while ensuring optimal detection performance and accuracy.

MACHINE learning; DATA privacy; MALWARE; INTERNET security; COMPUTER software

Basrah Journal of Science / Magallat Al-Barat Li-L-ulum, 2024, Vol 42, Issue 2, p219

2664-8288

Academic Journal

10.29072/basjs.20240205