Performance Analysis of Machine Learning Methods with Class Imbalance Problem in Android Malware Detection

• Main Authors: Akintola, A.G., Balogun, A.O., Mojeed, H.A., Usman-Hamza, F.E., Salihu, S.A., Adewole, K.S., Balogun, G.B., Sadiku, P.O.
• Format: Article
• Published: International Association of Online Engineering 2022
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131301203&doi=10.3991%2fijim.v16i10.29687&partnerID=40&md5=8f40456d1125f5d1a62846838c958321; http://eprints.utp.edu.my/33187/

Due to the exponential rise of mobile technology, a slew of new mobile security concerns has surfaced recently. To address the hazards connected with malware, many approaches have been developed. Signature-based detection is the most widely used approach for detecting Android malware. This approach...