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Menampilkan 1–10 dari 26 artikel
Assessing Software Architecture Resilience Using Quantitative Metrics in Cloud Native Application Development Environments
Eko Siswanto
; Danang Danang
; Ismi Kusumaningroem
; Ilham Akhsani
Indonesian Journal of Infomatics
Vol 1
, No 1
(2026)
Cloud native architectures are essential for modern software systems due to their ability to handle dynamic environments, scalability, and high availability. However, ensuring resilience in these systems remains a significant challenge, particularly under varying operational conditions such as high-load periods and failure scenarios. This study aims to assess the resilience of cloud native architectures using quantitative metrics that objectively evaluate key attributes such as availability, fau...
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Digital Forensics and Automated Incident Response Framework Leveraging Big Data Analytics and Real Time Network Traffic Profiling in Heterogeneous Cyber Environments
Danang Danang
; Zaenal Mustofa
; Irlon Irlon
Cyber Security and Network Management
Vol 1
, No 1
(2026)
The increasing complexity and scale of modern cybersecurity threats necessitate the development of advanced systems capable of efficiently detecting, analyzing, and mitigating incidents in real time. This paper proposes an automated framework for digital forensics and incident response that leverages big data analytics and real time network traffic profiling. The framework integrates cutting-edge technologies, including Apache Spark for real time data processing and Hadoop for scalable data stor...
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Digital Twin-Based Cyber-Physical Security Framework Incorporating AI-Driven Predictive Maintenance and Zero-Trust Architecture in Smart Grid Systems
Danang Danang
; Febri Adi Prasetya
; Rashad Huseynaga Asgarov
Journal of Information Technology and Computer Science
Vol 1
, No 3
(2025)
The increasing integration and digitization of smart grid systems have exposed them to a variety of security threats, necessitating robust security measures to ensure their reliability and efficiency. This paper proposes a novel Digital Twin-Based Cyber-Physical Security Framework, incorporating AI-driven predictive maintenance and zero-trust architecture to address the evolving challenges of securing smart grids. By leveraging digital twin technology, this framework creates a real-time virtual...
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Federated Hybrid CNN GRU and COBCO Optimized Elman Neural Network for Real Time DDoS Detection in Cloud Edge Environments
Danang Danang
; Maya Utami Dewi
; Greget Widhiati
International Journal of Electrical Engineering, Mathematics and Computer Science
Vol 2
, No 2
(2025)
Improvement amount Distributed Denial of Service (DDoS) attacks in cloud infrastructure and edge computing demands solution adaptive, distributed, and efficient detection in a way computing. Research This propose an optimized Federated Learning (FL) based DDoS detection model using Centroid Opposition-Based Bacterial Colony Optimization (COBCO) to training the Elman Neural Network (ENN). The proposed architecture consists of of two components Main: on the edge node side, a hybrid Convolutional N...
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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)
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 proa...
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Smart Composite Materials with Embedded Sensors for Structural Health Monitoring in High Performance Mechanical Engineering Applications
Danang Danang
; Riza Phahlevi Marwanto
; Helmi Wibowo
; Muhammad Akbar Hariyono
; Yuanita Sinatrya
International Journal of Industrial Innovation and Mechanical Engineering
Vol 1
, No 2
(2025)
Background: Structural Health Monitoring plays a critical role in ensuring the safety, reliability, and sustainability of high performance composite structures used in aerospace, civil infrastructure, and mechanical systems. Conventional externally mounted sensors often face challenges related to environmental interference, maintenance complexity, and long term stability. Objective: This study aims to develop and validate an integrated smart composite monitoring system with embedded sensing capa...
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Hybrid CNN GRU Framework for Early Detection and Adaptive Mitigation of DDoS Attacks in SDN using Image Based Traffic Analysis
Danang Danang
; Indra Ava Dianta
; Agustinus Budi Santoso
; Siti Kholifah
International Journal of Information Engineering and Science
Vol 2
, No 3
(2025)
The threat of Distributed Denial of Service (DDoS) is increasing develop along with increasing use of the Internet of Things (IoT) and Software-Defined Networking (SDN) architecture . Although SDN provides convenience in management network , properties its centralized control make it prone to to flooding attacks that can paralyze controller performance . Detection method conventional , such as approach statistics and machine learning, still own limitations in matter accuracy , high false positiv...
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Optimizing Blockchain-Based Cybersecurity Systems to Strengthen Resilience Against Ransomware Attacks : A Systematic Literature Review
Tanveer Shah
; Danang Danang
Systematic Literature Review Journal
Vol 1
, No 1
(2025)
This study aims to address the challenges and propose solutions for the Optimization of Blockchain-Based Cybersecurity Systems to Enhance Resilience Against Ransomware Attacks using a Systematic Literature Review (SLR) approach. Blockchain is increasingly recognized as a transformative technology in cybersecurity due to its decentralized structure, transparency, and robustness in securing data. Despite these advantages, its widespread adoption is hindered by several challenges, including scalabi...
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6G Networks and AI-Orchestrated Resource Allocation
Danang Danang
; Tameem Raif
; Zubair Hadi Faisal
; Munir Fadlan Karim
Proceeding of the International Conference on Electrical Engineering and Informatics
Vol 1
, No 2
(2025)
As 6G networks promise unprecedented speeds and ultra-low latency, AI-based resource allocation plays a crucial role in optimizing network performance. This study explores AI-driven techniques for spectrum management, energy efficiency, and real-time data processing. By leveraging machine learning and deep learning models, AI enhances network adaptability, reduces congestion, and improves overall efficiency. The proposed approaches enable intelligent decision-making, dynamic resource allocation,...
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AI-Powered Cybersecurity for Industrial Control Systems
Danang Danang
; Idris Maazin
; Khalaf Tariq Zubayr
Proceeding of the International Conferences on Engineering Sciences
Vol 1
, No 2
(2024)
Natural disasters such as earthquakes, hurricanes, and floods pose significant risks to critical infrastructure. AI-driven disaster response systems provide real-time analytics, predictive modeling, and automated response strategies to mitigate damage and improve recovery efforts. This paper explores how AI-powered drones, satellite imagery, and sensor networks enhance disaster monitoring and decision-making. Additionally, the study discusses the role of AI in optimizing emergency resource alloc...
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