Tuning the k value in k-nearest neighbors for malware detection
Mosleh M. Abualhaj,
Ahmad Adel Abu-Shareha,
Qusai Y. Shambour
et al.
Abstract:<span>Malicious software, also referred to as malware, poses a serious threat to computer networks, user privacy, and user systems. Effective cybersecurity depends on the correct detection and classification of malware. In order to improve its effectiveness, the K-Nearest Neighbors (KNN) method is applied systematically in this study to the task of malware detection. The study investigates the effect of the number of neighbors (K) parameter on the KNN's performance. MalMem-2022 malware datasets and relev… Show more
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