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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) International Journal of Informatics and Communication Technology (IJ-ICT) Teknotan: Jurnal Industri Teknologi Pertanian Bulletin of Electrical Engineering and Informatics AGRIEKONOMIKA Dharmakarya : Jurnal Aplikasi Ipteks Untuk Masyarakat Jurnal Optimasi Sistem Industri Kultivasi Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) SAINS TANAH - Journal of Soil Science and Agroclimatology Syntax Literate: Jurnal Ilmiah Indonesia Jurnal Agrotek Tropika Journal of Tropical Crop Science Indonesian Journal of Electrical Engineering and Computer Science Computer Science and Information Technologies Jurnal Teknik Informatika (JUTIF) Indonesian Journal of Community Services Cel Gunung Djati Conference Series Jurnal Pengabdian Masyarakat Nasional Journal Collabits Biodiversitas Journal of Biological Diversity
Rahmat Budiarto
Department Of Agronomy, Faculty Of Agriculture, Universitas Padjadjaran. Jl. Raya Bandung-Sumedang Km. 21, Jatinangor, Sumedang 45363, West Java, Indonesia
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Public Health Social Sciences Other

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Journal : computer science and information technologies

 1 
Machine learning-based anomaly detection for smart home networks under adversarial attack Juli Rejito; Deris Stiawan; Ahmed Alshaflut; Rahmat Budiarto
Computer Science and Information Technologies Vol 5, No 2: July 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/csit.v5i2.p122-129

Abstract

As smart home networks become more widespread and complex, they are capable of providing users with a wide range of applications and services. At the same time, the networks are also vulnerable to attack from malicious adversaries who can take advantage of the weaknesses in the network's devices and protocols. Detection of anomalies is an effective way to identify and mitigate these attacks; however, it requires a high degree of accuracy and reliability. This paper proposes an anomaly detection method based on machine learning (ML) that can provide a robust and reliable solution for the detection of anomalies in smart home networks under adversarial attack. The proposed method uses network traffic data of the UNSW-NB15 and IoT-23 datasets to extract relevant features and trains a supervised classifier to differentiate between normal and abnormal behaviors. To assess the performance and reliability of the proposed method, four types of adversarial attack methods: evasion, poisoning, exploration, and exploitation are implemented. The results of extensive experiments demonstrate that the proposed method is highly accurate and reliable in detecting anomalies, as well as being resilient to a variety of types of attacks with average accuracy of 97.5% and recall of 96%.
Detection of Android malware with deep learning method using convolutional neural network model Reza Maulana; Deris Stiawan; Rahmat Budiarto
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 Abdi Wahab Abdullakasim, Supatida Adi Hermansyah, Adi Aditya Pradana Afiyati, Afiyati Ahmad Heryanto, Ahmad Ahmed Alshaflut Al Aufa, Elfa Muhammad Ihsan Ali Firdaus Andria Agusta ANDRIA AGUSTA ANNE NURAINI ANNE NURAINI Anne Nuraini Anne Nuraini Anni Yuniarti Audrey, Berby Febriana Azka Ghafara Putra Agung Bambang Jokonowo BAYU PRADANA NUR RAHMAT Bayu Pradana Nur Rahmat Bedine Kerim, Bedine Bin Idris, Mohd Yazid Darda Efendi Deris Stiawan Devita Aprilia Dikdik Kurnia Dwi Budi Santoso Dwinanda, Syahvan Rifqi Eddy Renaldi Edi Santosa Edi Santosa Efy Yosrita, Efy Emma Trinurani Sofyan Emma Trinurani Sofyan Endo, Kenji Envry Artanti Duidahayu Putri Erik Setiawan Ermatita - ERNI SUMINAR Erni Suminar Erni Suminar Eso Solihin Eso Solihin Ezura, Hiroshi Fadlan Atalla Muhammad Fajri, Hauzan Ariq Musyaffa Fakhrurroja, Hanif Farida Farida Farida Farida Fathi Rufaidah Fauziah, Rossita Fiky Yulianto FIKY YULIANTO WICAKSONO Fiky Yulianto Wicaksono Firnando, Rici Firstina Iswari Ghorbanpour, Mansour Giyarto, Gunes Hanifah, Nurul Afif Haryanto, Yoyon Hauzan Ariq Musyaffa Fajri HAYANE ADELINE WARGANEGARA Hayane Adeline Warganegara, Hayane Adeline HELVI YANFIKA Helvi Yanfika HIROSHI EZURA Idris, Mohd Yazid Bin Iman Saladin B. Azhar INDAH LISTIANA Indah Listiana Indra Permana Indrapriyatna, Ahmad Syafruddin Indrianto Indrianto Iswari, Firstina Iwan Pahendra Jajang Sauman Hamdani Jatmika, Muhammad O. Juli Rejito Kemahyanto Exaudi Komala, Mega Kus Hendarto, Kus Kusumadewi, Vira Kusumiyati Kusumiyati Kusumiyati Luciana Djaya Luciana Djaya, Luciana M. Miftakul Amin Mansour Ghorbanpour Maolana, Adrian Mochamad Arief Soleh Mochamad Arief Soleh Mohamed Shenify Mohd Yazid Idris Mohd Yazid Idris Mohd. Yazid Idris Mugianto, Dwi Rizki Muhaimin Hasanudin Muhamad Kadapi Muhammad Afif Muhammad Rizki Muhammad, Fadlan Atalla Murgayanti Murgayanti Nadia Uliati Nguyen Quoc Khuong Nisa, Kahirun Noor Istifadah Noor Istifadah Nurizqia, Ghaida Marsha Nursuhud Nursuhud Osman, Mohd Azam Pakpahan, Hansel Arie PAUL BENYAMIN TIMOTIWU Pertiwi, Hanna Pipit Mutiara Pratita, Dian Galuh Pratomo, Adji Putra Perdana Prasetyo, Aditya Putri, Azizah Tiara Putri, Dina Putri, Envry Artanti Duidahayu RADEN AJENG DIANA WIDYASTUTI Rahma, Siti Auliya Rahmad, Khozaeni Bin Rahmat, Bayu Pradana Nur Ramadani, Selika Fitrian Reginawanti Hindersah Reza Maulana Rika Meliansyah Roedhy Poerwanto Roedhy Poerwanto Roedhy Poerwanto Rofiq, Muhamad Abdul Rossita Fauziah Ruminta Ruminta Saefur Rohman Saefur Rohman Samsuryadi Samsuryadi Sari, Stefina Liana Sarmayanta Sembiring Sastrika Anindita Semendawai, Jaka Naufal Setiawan, Deris Sidabutar, Alex Onesimus Siska Rasiska SIska Rasiska, SIska Sistyananda, Firstian Naufal Siti Julaeha, Siti Stefina Liana Sari Stefina Liana Sari Sucinta Aulida Khoerunnisa Susanto Susanto Syamsul Arifin, M. Agus Syariful Mubarok SYARIFUL MUBAROK SYARIFUL MUBAROK Syariful Mubarok Syariful Mubarok Tessa Zulenia Fitri Varinto, Irvan Waluyo, Nurmalita Wawan Sutari Wawan Sutari Wibawa, Rangga Widyastuti, R.A.D. Yanyan Mochamad Yani Yaya Sudarya Triana Yazid Idris, Mohd. Yudho Suprapto, Bhakti Yulianto, Fiky Yusti Yusti, Yusti Zulhipni Reno Saputra Elsi