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Reza Maulana
Jurusan Teknik Sipil FT. UNDIP Jl. Prof. H. Soedarto SH. Tembalang, Semarang 50275
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Journal : Computer Science and Information Technologies

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Detection of android malware with deep learning method using convolutional neural network model Maulana, Reza; Stiawan, Deris; Budiarto, Rahmat
Computer Science and Information Technologies Vol 6, No 1: March 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/csit.v6i1.p68-79

Abstract

Android malware is an application that targets Android devices to steal crucial data, including money or confidential information from Android users. Recent years have seen a surge in research on Android malware, as its types continue to evolve, and cybersecurity requires periodic improvements. This research focuses on detecting Android malware attack patterns using deep learning and convolutional neural network (CNN) models, which classify and detect malware attack patterns on Android devices into two categories: malware and non-malware. This research contributes to understanding how effective the CNN models are by comparing the ratio of data used with several epochs. We effectively use CNN models to detect malware attack patterns. The results show that the deep learning method with the CNN model can manage unstructured data. The research results indicate that the CNN model demonstrates a minimal error rate during evaluation. The comparison of accuracy, precision, recall, F1 Score, and area under the curve (AUC) values demonstrates the recognition of malware attack patterns, reaching an average of 92% accuracy in data testing. This provides a holistic understanding of the model's performance and its practical utility in detecting Android malware.
Co-Authors ., Muhammad Ashabul Kahfi Abdul Malik Setiawan Adestya, Alvin Ilham Adika, Dimas Afiandi, Ravi Agustin Fitriana, Lady Ahmad Harisb januar Syahidan, Ahmad Harisb januar Ahmad Sidiq Akib, Faisal Alam , Syamsu Ali Mustopa, Ali Amirsyah, Mirnasari Andhini, Lestari ANDIKA, ERICK Anna Maria Oktaviani Ansar, Ince Aprilia, Nyra Nazwa Ari Prasetyo Arisita, Adelia Putri Awaru, Tenri Bambang Riyanto Basir, Abdul Bintang, Inggrid Awanis Budiana, Eko P. Dahril Delfiana, Delfiana Deris Stiawan Desmawan, Deris Devi, Helena Deykha Aguilika Diana Apriyanti, Diana Diana Rachmawati Dwi Kurniawati, Dwi Eka, Aditya Ekasafitri, Nurjannah Elfrida Ratnawati Elrohi Soen, Gabriel Irfon Enitan, Seyi Samson Fahmi, Akhmam Fardhy Wiharjo, Fardhy Farikhah, Izzah Fatin, Nadiyah Fauzi Fadliansyah Fauziyah, Asiyah Nurul Fimansyah, Yoki Firmansyah, Arrizal firmansyah, Yoki Fitri, Aisah Furqan Hidayatullah Ginanjar, Rubi Hanantyo, Burhanuddin Hasanah, Siti Nuri Alya Heru Setiawan Hudzaifah, Ahmad Hutajulu, Jovan Marito Nathaniel Ibrahim, Firmansyah Ikhwan, Haznur Ismail, Iriana Ismy, Jufriady Jimi, Romuanus Julianto, Muhammad Fahmi Kamal Reza, Mohammad Kamilia, Afina Kause, Migdes Christianto Khairunisa, Alamanda Khalilullah, Said Alfin Krissetia, Michael Lisnawanty Lisnawanty Lukman Hakim, Dori Maesaroh, Syti Sarah Masitha Arsyati, Asri Masyhur, Zulkarnaim Maulana, Farid Mauliana Mauliana, Mauliana Mauny, Muhammad Puteh Mohammad Kamal Reza Mubarak, Fawwaz Mudatsir Mudatsir Muhammad Iqbal Muhammad Ridha Muhammad Sony Maulana Mukarto Siswoyo Müller, Ruth Nabarian, Tifanny Naffi, Ilham Nasution, Muhammad Nashir Nita Sari, Nita Nur Inayah Nur Wahyuniati, Nur Nurhayatii, Siti Nuurussa'aadah, Fathimah Pancasakti, Ranthy Prabowoputra, Dandun M. Pratama Zurmauliriansyah, Rifzki Pratama, Naufal Rizky Pratiwi, Dwi Annisa Setya Purnomo Budi Santoso Purwaningtias, Deasy Putri, Destiana Rahman Rahmat Budiarto Ramadana, Rizki R. Ramdani, Muhammad Asnur Reni Reni, Reni Risdiansyah, Deni Riyanto Riyanto Rizli, Irma Romansah, Repo Agung Rosmiati, Mia Rovianto, Eki Saepullah, Dede Rizki Safitri Linawati Said A. Khalilullah Samsul Anwar Sari, Sasa Marita Selan, Yefris A. Septiani, Sella Septiyanto, Muhamad D. Sirinam, Salin siti rodiah Sunbanu, Halani F. Sutrisno Anggoro SYAFAR, A. MUHAMMAD Syah, Herwan Syamsul Hadi Syamsul Rizal Tampubolon, Desi Putri Te, Haypheng Triyaka, Rendy Utomo, Prattama S. Vernanda, Wili Bordeus Veta Lidya Delimah Pasaribu Vito, Yulius Kristoforus W, Herlina Putri Wahyu Lestari Waraztuty, Ika Welly Wihayati, Welly Wiyono, Bambang Harie Yufika, Amanda Zefry Darmawan