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All Journal JRSI (Jurnal Rekayasa Sistem dan Industri) Rekayasa Teknologi Jurnal Ilmiah Teknik Informatika dan Komunikasi International Journal of Computer Technology and Science Jurnal Ekonomi, Manajemen, Akuntansi Router : Jurnal Teknik Informatika dan Terapan Journal of Engineering, Electrical and Informatics
Priyo Wibowo
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Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Social Sciences

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Journal : International Journal of Computer Technology and Science

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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 .
Contextual Data Fusion and Explainable Analytics for Supporting Strategic Decision Making in Smart Information Systems Environments Priyo Wibowo; Rudolf Sinaga
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.v1i1.357

Abstract

The increasing complexity and heterogeneity of data in Smart Information Systems pose significant challenges for effective decision-making. While data fusion techniques have been widely adopted to integrate multiple data sources, traditional fusion approaches often fail to consider contextual information, resulting in limited interpretability and reduced decision relevance. This study proposes a contextual data fusion approach that integrates heterogeneous data sources with contextual attributes, including temporal, spatial, and operational context, to enhance decision accuracy and robustness. The research employs a computational and experimental methodology involving data preprocessing, context encoding, multi-level data fusion, and performance evaluation. Experimental results demonstrate that the proposed approach outperforms single-source analysis and non-contextual data fusion in terms of accuracy, precision, recall, and F1-score, with only a marginal increase in computational cost. The findings confirm that incorporating context into the data fusion process significantly improves the quality and reliability of analytical outcomes. This study contributes to the development of intelligent and data-driven systems by highlighting the critical role of contextual awareness in supporting transparent and effective decision-making in Smart Information Systems.
Co-Authors Abram Darmaputra Adhistian, Patria Agus Fatkhurohman Handoyo Agus Mulya Permana Danang Danang Dimsa Mutiara Firstayodi Dwi Mandaris Dyah Puspitasari Sunaryo Putri Eko Siswanto Fransiska Ayuningtyas Widyastani Givio Kristiana Candra Gunarwan Prayitno Ihsan Supono Kun Fayakun Nabila Rizqi Mahardika Nuris Dwi Setiawan Patria Adhistian R. Harry Harjadi Rudolf Sinaga Siswanto Siswanto Vanessa Gaffar Widya Aryani