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All Journal Jurnal Informatika dan Multimedia Jurnal ABDINUS : Jurnal Pengabdian Nusantara Journal Automation Computer Information System (JACIS) International Journal Software Engineering and Computer Science (IJSECS) Jurnal Pengabdian pada Masyarakat Ilmu Pengetahuan dan Teknologi Terintegrasi MATRIX : JURNAL MANAJEMEN TEKNOLOGI DAN INFORMATIKA Jurnal Informatika dan Multimedia International Journal of Entrepreneurship, Business, and Creative Economy International Journal of Multidisciplinary Sciences and Arts Jurnal Informatika Polinema (JIP) Journal of Information Technology and Cyber Security
Toga Aldila Cinderatama, Toga Aldila
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Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Social Sciences

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Journal : Journal of Information Technology and Cyber Security

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Supervised Learning Methods Comparison for Android Malware Detection Based on System Calls Referring to ARM (32-bit/EABI) Table Alhamri, Rinanza Zulmy; Cinderatama, Toga Aldila; Eliyen, Kunti; Izzah, Abidatul
Journal of Information Technology and Cyber Security Vol. 2 No. 1 (2024): January
Publisher : Department of Information Systems and Technology, Faculty of Intelligent Electrical and Informatics Technology, Universitas 17 Agustus 1945 Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30996/jitcs.10511

Abstract

Android malware detection research is a topic that is still being developed. From all the detection techniques developed, dynamic analysis methods have become interesting because they trace the suspect application system calls. Based on the system calls, by utilizing machine learning, the suspect application can be classified as malware or benign. Comparing the machine learning methods is im-portant to determine what method is best to support malware detection. This article aims to explain more clearly and simply the way to conduct Android malware detection based on system calls step by step using classification. Furthermore, it presents the system calls sequence conversion referring to the arm(32-bit/EABI) table, which has 398 system calls (0-397) as features. It will provide a compari-son of several supervised machine-learning methods for classifying Android applications. This initial research is part of the other research that has the purpose of developing a malware detection system based on an Android application. This research can be used to develop the best machine learning to classify malware applications using a Support Vector Machine (SVM), Decision Tree (DT), K-Nearest Neighbour (KNN), and Naive Bayes (NB). The result can be concluded that the KNN method has the lowest performance in detecting Android malware apps, with an accuracy of only 0.50. In comparison, the NB method has an accuracy of only 0,69. SVM and DT models have similar accuracy and recall results of 0.79 and 0.75, respectively, but DT obtained higher precision and scores of 0.83 and 0.76, respectively. Although in this study, the classification performance of DT is better than SVM, based on comparison with the results of previous research, SVM is a suitable method for Android malware de-tection based on system calls. It is proven by the results of research comparisons that the SVM method is always the method with the highest accuracy score among other methods. For the next research, the SVM method can be used to develop a malware detection system for Android applications.
Co-Authors Abidatul Izzah Amini, Julia Intan Ashafidz Fauzan Dianta, Ashafidz Fauzan Asmoro, Wiwiek Kusumaning Asti, Irfin Sandra Atik Tri Andari, Atik Tri Ayundyayasti, Prima Benni Agung Nugroho, Benni Agung Candra Bella Vista Devianti, Meryta Dewi, Isyana Wikrama Dharma Tungga Dina Yeni Martia Eliyen, Kunti Fadelis Sukya, Fadelis Fajria, Rola Nurul Fery Sofian Efendi Fitria Nur Hamidah, Fitria Nur Kenneth Pinandhito Moch Zawaruddin Abdullah Nugraha, Girindra Fajar Nugroho , Benni Agung Prasetyo, Junaedi Adi Prasetyo, Junaedi Adi Putranti, Eti Ratna Widyastuti, Ratna Rinanza Zulmy Alhamri, Rinanza Zulmy Rudy Ariyanto Setianingsih, Novie Astuti Sofian Efendi, Fery Wahyu, Mujahid Windawati, Atif Yanuarmawan, Dion Yunhasnawa, Yoppy Zulmy Alhamri, Rinanza