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Journal : International Journal of Computer Technology and Science

Evaluating Trust Aware Machine Learning Models for Secure Data Sharing in Distributed Internet of Things and Edge Computing Infrastructures Eko Siswanto; Danang Danang; Sunarmi Sunarmi
International Journal of Computer Technology and Science Vol. 1 No. 1 (2024): International Journal of Computer Technology and Science
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijcts.v1i1.359

Abstract

The rapid growth of Internet of Things (IoT) and edge computing technologies has introduced new security challenges due to the distributed, heterogeneous, and dynamic nature of these environments. Conventional static security mechanisms, such as rulebased authentication and fixed trust models, are often inadequate for addressing evolving threats and abnormal behaviors in largescale IoT systems. To overcome these limitations, this study proposes a machine learningbased trust evaluation framework for enhancing security in distributed IoT environments. The proposed approach dynamically assesses the trustworthiness of IoT nodes by analyzing behavioral and interactionbased features collected at the edge layer. Machine learning models are trained to classify nodes into trusted and malicious categories and continuously update trust values in response to changing network conditions. Based on the predicted trust levels, adaptive security decisions are enforced to allow or restrict node participation in data sharing and computation processes. A quantitative experimental evaluation is conducted using simulated distributed IoT scenarios that include both normal and malicious behaviors. The performance of the proposed framework is evaluated using standard metrics such as accuracy, precision, recall, F1score, and detection effectiveness, and is compared against conventional static trust and rulebased security mechanisms. The results demonstrate that the proposed machine learningbased trust evaluation approach achieves significantly higher detection accuracy and robustness while maintaining low computational overhead. Overall, the findings confirm that integrating machine learning into trust management provides an effective and scalable solution for securing distributed IoT systems under dynamic and adversarial conditions.
Co-Authors Ag. Kirwanto Agnes Lorentina Br Sembiring Ahmad Kamal Sudrajat Alessandro Golfried Andar Indra Sastra Andi Mulyono Anita Widiastuti Annasa Sabatia Annisa Annisa Rizki APRI KUNTARININGSIH Aprilli Dayanti Asnawi Hidayat Azizah Nur Rochmah Bagus Kusuma Ardi, Bagus Kusuma Bambang Guritno Bayu Indah Syafinatu Zafi Bening Tri Suwasono Bismar Nasution BUDIMAN GINTING Cheesya Siska Adhiati Christopher Gustikho Danang Danang Delia Wahyu Pangesti Deta Sukarja Devi Nirmala Muthia Sayekti DIAN LESTARI Dian Meinar Dian Natasia Dimas Fattih Dini Permata Sari Dwi Listyorini Dyati Galuh Pratita Eko Siswanto Eko Sri Sulasmi Elhah Nailul Khasna Elyas Franklin Erick Erick Erni - Widajanti Evelyn Evelyn Evi Susanti Ezra Cyntia Febrian Rosadi Fuadi, Fauzan Gema Ariprahara Gunawan Sembiring Handriyotopo Handriyotopo HASIM PURBA Ikhsan Hidayat Ikhsan Lubis Jaelani Jaelani Jesica Pasaribu Junita Junita Keizerina Devi Khoirin Khoirin Kristania Felita Kurniawaty Kurniawaty Kwartaria Gultom Latief Abdul Maajid M. Ekaputra - Madiasa Ablisar Mahmul Siregar Malik Hamid Maruly Agustinus Maulana Ibrahim Mawaddah, K. Mega Riana Melati Fitri Melissa Simanjuntak Mellisa Tandoko Merinda Oktaviana michael Nasution Murni Murni Sapta Sari Neng Annis Fathia Nikita Rizky NINGRUM NATASYA SIRAIT Nopianti Nopianti Nurdin, I Purwo Prihatin Qhairul Manurung Rafly Timothy Rahmat Hasibuan Rezki Arafah Rido Sigit Wicaksono Rifka Dameyanti Riris Fatmawati Robert Robert Rumata Rosininta Sianya S Sugiman, S Sari, M. S. Sarwono Selly Puspita Sari Shafira Mayada Shindih Hersiva Siti Hidayah Siti Kholifah Sri Rosa Steven Simanjuntak Suharti Suherwin Suherwin Sukarja, Detania Sulisetijono Sulisetijono Suprayitno Suprayitno Supriyadi, Andhi Susanti Delina Susilo Yulianto Sutiarnoto - Sylvia Vietressia Sinuhaji Syriac Nellikunnel Devasia Tahi Sitorus Tarsisius Murwadji Taufan Akbar Rifky Theofeni Yudea Tita Putri Milasari Tri Lubis Tri Murti Upsa Vision Wahyudi Ikhwal Wicaksono, Rido Sigit Widya Arisandy Wigrha Tommy Wiwin Renny Rahmawati