Article Per Year (5 Year)
p-Index From 2021 - 2026
6.293
P-Index
This Author published in this journals
All Journal Kompak : Jurnal Ilmiah Komputerisasi Akuntansi E-Bisnis : Jurnal Ilmiah Ekonomi dan Bisnis Pixel : Jurnal Ilmiah Komputer Grafis ROTOR: JURNAL ILMIAH TEKNIK MESIN Jurnal SOLMA Pendas : Jurnah Ilmiah Pendidikan Dasar Conference on Innovation and Application of Science and Technology (CIASTECH) Al-Banjari : Jurnal Ilmiah Ilmu-Ilmu Keislaman Viabel : Jurnal Ilmiah Ilmu-Ilmu Pertanian Civilla : Jurnal Teknik Sipil Universitas Islam Lamongan JMTS: Jurnal Mitra Teknik Sipil Al-Bukhari: Jurnal Ilmu Hadis Revitalisasi : Jurnal Ilmu Manajemen Media Aplikom Teknik: Jurnal Ilmu Teknik dan Informatika MANAJEMEN Jurnal Teknologi Informasi Cyberku Jurnal Manajemen Informatika & Teknologi Journal of Technology Informatics and Engineering Seminar Nasional Teknologi dan Multidisiplin Ilmu Future Academia : The Journal of Multidisciplinary Research on Scientific and Advanced Repeater: Publikasi Teknik Informatika dan Jaringan International Journal of Computer Technology and Science Legitima : Jurnal Hukum Keluarga Islam Systematic Literature Review Journal Journal of New Trends in Sciences Journal of Engineering, Electrical and Informatics Jurnal Publikasi Sistem Informasi dan Manajemen Bisnis
Eko Siswanto
Unknown Affiliation
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Nursing Public Health Social Sciences Other

Published : 40 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : International Journal of Computer Technology and Science

 1 
Hybrid Zero Trust Container Based Model for Proactive Service Continuity under Intelligent DDoS Attacks in Cloud Environment Danang Danang; Eko Siswanto; Nuris Dwi Setiawan; Priyo Wibowo
International Journal of Computer Technology and Science Vol. 2 No. 3 (2025): 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.v2i3.291

Abstract

Growth rapid computing cloud, especially on academic, government, and service platforms. public, has trigger improvement frequency and complexity Distributed Denial of Service (DDoS) attacks. Intelligent DDoS attacks AI based capable copy pattern Then cross user valid, so that difficult detected and mitigated. The majority approach mitigation moment This nature reactive, no scalable, and tends to sacrifice availability service for authorized users. Research​ This aiming develop architecture proactive and adaptive defense​ For ensure continuity service during attack ongoing. Security model proposed hybrid​ integrating Zero Trust Architecture (ZTA), adaptive bandwidth control, and isolation service container -based. Architecture consists of from three layer Main: (1) ZTA Policy Engine which performs verification identity and assessment behavior through tokens and policies intelligent; (2) Adaptive Bandwidth Load Balancer which automatically dynamic separate and arrange Then cross based on reputation and level trust ; and (3) Containerized Service Cluster which groups request to in different containers For user trusted and not known . Components addition such as blockchain -based smart contracts are used For recording request and verification access , as well as lightweight AI module used for profiling then cross in real-time. Simulation results show that this model succeed increase availability service for user trusted during attack , press false positive rate , as well as optimize allocation source power. Integration of zero trust policies with intelligence Then cross and segmentation service in real-time forming framework effective and scalable defense​ to modern DDoS threats . In conclusion , the study This contributes a robust , adaptive , and modular architectural model for maintain continuity cloud services in condition network at risk .
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 Agustinus Budi Santoso Ahmad Ashifuddin Aqham Ahmad Ridwan Alex Ristanto Pratama Arsito Ari Kuncoro Bagus Sudirman Bella Amiria Rahmahima Bilaly Sangare budi hartono Budi Santoso Budi Santoso Budi Winarno Budiman, Eko Wahyu Danang Danang Dani Sasmoko Dendy Kurniawan Dewanta, Rendy Kurnia Dieta Wahyu Asry Dita Riyanto Putro Edwin Zusrony Eka Satria Wibawa, Eka Satria Endrahadi Rahadian Febryantahanuji Febryantahanuji Haris Ihsanil Huda Hendry Syahputra Herry Erwanto Hidiyati, Evita Fitrianis I.N.G. Wardana Indra Ava Dianta Islamy, Athoillah Lilik Muslichati M Munifah Mochammad Danara Indra Pradigta Mohamad Badrun Zaman Muhamad Khoirul Umam Muhammad Abduh Muhammad Akmal Mulyono Muhammad Sholikhan Nasrudin Nasrudin Ngurah Ayu Nyoman M Noor Miyono Novi Sri Setiyawati Nuris Dwi Setiawan Nurkholis Hamidi Okky Dwianto Wahyu Nugrohojati Pratama, Diva Iga Priyo Wibowo Purwanto Purwanto Puspitorini, Palupi Rachmat Subagyo Rizal Dewo Susanto Saputra, Mahmuda Sepriyatno, Riswan Serdani, Army Dita Sifa, Geubrina Dara Sigit Winarko sigit winarno Sigit Winarto Siti Mundrikah Siti Qamariah Tiflen Soedjono Sony Susanto sudirman, bagus Sunarmi Suprapedi Suprapedi Suprapti Suprapti Suwarno Suwarno Toni Wijanarko Adi Putra Tri Endrawati Yosef Cahyo Setianto Zurriyani