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  • Open Access

    ARTICLE

    An AI-Driven and Risk-Aware Digital Identity Protection Framework for Secure IoMT Environments

    Joong-Hyun Park1, Jiho Choi2, Libor Mesicek3, Hoon Ko2,*

    CMC-Computers, Materials & Continua, Vol.88, No.3, 2026, DOI:10.32604/cmc.2026.084659 - 23 July 2026

    Abstract With the rapid expansion of the Internet of Medical Things (IoMT), the importance of digital identity–based security has significantly increased. However, conventional static authentication mechanisms are insufficient to effectively address various identity misuse and abuse attacks. In this study, we model digital identity as a dynamic security entity and propose an AI-based framework that integrates a risk scoring model—combining unsupervised anomaly detection with context-aware analysis—and a multi-level risk-adaptive access control mechanism (Permit, Step-Up, Restrict). Experimental results using an extended version of the CERT Insider Threat Dataset tailored for IoMT environments provide proof-of-concept evidence that the More >

  • Open Access

    ARTICLE

    A Grounded Multi-Agent Multimodal Large Language Model Framework for Interpretable Risk Assessment in Driving Scenes

    Chien-Hao Tseng1, Min-Yu Chen1, Meng-Wei Lin1, Jyh-Horng Wu1, Chung-I Huang2,*

    CMC-Computers, Materials & Continua, Vol.88, No.3, 2026, DOI:10.32604/cmc.2026.083337 - 23 July 2026

    Abstract Context-aware driving assistance must do more than detect objects: it has to identify the cues that materially affect risk, separate observable evidence from inference, and produce recommendations that humans can audit. This paper presents a grounded multi-agent multimodal large language model (MLLM) framework for interpretable risk assessment in driving scenes. The framework decomposes reasoning into four stages—context relevance evaluation, visual interpretation, factual verification with anomaly extraction, and risk assessment with action recommendation—so that the final advisory is generated only from a verified intermediate representation rather than directly from a free-form scene description. We evaluate the… More >

  • Open Access

    ARTICLE

    Dynamic Digital Twin Network for Real-Time Safety Monitoring and Predictive Risk Assessment of Hydrogen Refueling Infrastructure

    Gábor Hasulyó*

    Energy Engineering, Vol.123, No.8, 2026, DOI:10.32604/ee.2026.081099 - 12 July 2026

    Abstract The current global energy situation is very fragile. Much more stable and predictable energy security is needed. Due to global climate conditions, it is advisable to prioritize fuels that are high in energy content and relatively easy to produce, such as hydrogen. However, the widespread deployment of hydrogen refueling stations is hampered by significant safety challenges, including hydrogen’s high flammability, its tendency to leak, and high-pressure storage requirements. This study examines how digital twin technology can be implemented to improve the safety and operational efficiency of hydrogen facilities. A dynamic digital twin model was developed… More >

  • Open Access

    ARTICLE

    Lightweight Secure Authentication for IoT Devices: A Systematic Literature Review

    Rayan Alenzi, Rayan Aldoghan*, M. M. Hafizur Rahman

    Journal of Cyber Security, Vol.8, pp. 373-396, 2026, DOI:10.32604/jcs.2026.083953 - 01 July 2026

    Abstract The rapid proliferation of Internet of Things (IoT) devices across smart homes, healthcare facilities, industrial networks, and smart cities has raised critical security concerns, particularly regarding device authentication. IoT devices are typically characterized by limited computational resources, constrained memory, and restricted energy budgets, which renders the deployment of traditional cryptographic protocols infeasible; consequently, lightweight authentication schemes are required. Although numerous lightweight authentication protocols have been proposed, a systematic risk evaluation of such protocols against established threat modeling frameworks remains largely absent from the existing literature. This paper presents a systematic literature review (SLR) based on… More >

  • Open Access

    ARTICLE

    Optimized Sustainable Hybridization Through Holistic Multi-Platform Simulation: Enhancing Dynamic Response in Solar-Wind-Battery Energy Systems

    Riad Mollik Babu1, Md Shafiul Alam2,*, Md. Hasibur Rahman3, Mohammad Ali2, Md. Alamgir Hossain4, Md. Arifuzzaman5

    CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.3, 2026, DOI:10.32604/cmes.2026.082366 - 30 June 2026

    Abstract The increasing penetration of solar photovoltaic (PV) systems into power grids poses challenges due to their inherent intermittency and variability, which can compromise grid stability and reliability. Hybridizing solar PV with wind energy and battery energy storage system (BESS) offers a promising solution by leveraging resource complementarity and providing fast frequency response. This study presents a techno-economic and environmental assessment of a hybrid renewable energy system. Wind turbines and a BESS are integrated with the existing 7.5 MW Sirajganj Solar PV Power Plant in Bangladesh. The proposed hybrid configuration is evaluated using real-world operational data… More >

  • Open Access

    ARTICLE

    An Integrated Simulation Framework for Reliability Assessment of Bolted Joints in Lightweight High-Speed Train Battery Housings

    Lin Zang1, Muhammad Fadhil Marsani2,*, Caiyan Long1,2,*, Yongping Yu3

    Structural Durability & Health Monitoring, Vol.20, No.4, 2026, DOI:10.32604/sdhm.2026.080465 - 30 June 2026

    Abstract To bridge the gap between isolated structural and connection analyses in lightweight rail vehicle design, this study establishes an integrated modelling-simulation-verification framework. This integrated framework, developed via parametric FE modelling, multi-axial load simulation (per DIN EN 12663 & BS 7608), and standards-based verification, was applied to a specific housing design. Key results: (1) Under vertical ±3 g static loads, the tray experiences the maximum equivalent stress of 186.6 MPa, yielding a safety factor of 1.1 against the yield strength, which satisfies the minimum requirement (s1 ≥ 1.15) of the DIN EN 12663 standard. (2) Under fatigue More >

  • Open Access

    ARTICLE

    Static Analysis and Safety Assessment of Tilted Circular Sinking Wells

    Anna Szymczak-Graczyk1,*, Tomasz Garbowski2, Florim Grajçevci3, Hajdar Sadiku3

    Structural Durability & Health Monitoring, Vol.20, No.4, 2026, DOI:10.32604/sdhm.2026.079217 - 30 June 2026

    Abstract Sinking wells (open caissons) are widely used deep foundation structures whose installation by the cut-and-sink method may lead to unintended deviation from verticality due to heterogeneous soil conditions and construction irregularities. While tilting is a frequently observed phenomenon, quantitative criteria for assessing the admissibility of an inclined well after completion of sinking remain insufficiently defined. This study presents a static analytical framework for evaluating stress redistribution beneath the concrete plug of a tilted well. The analysis is based on eccentric vertical load transfer and derives closed-form relationships linking the permissible inclination angle to well geometry… More >

  • Open Access

    ARTICLE

    A Multi-Criteria GIS Approach to Landslide Risk Assessment: Application of FAHP in San Andres, Romblon, Philippines

    Jerome Gacu1,2,*, Dencel Edrian Cawaling1, Edel Queen Fiestada1, Diablell Maybanting1, Jamica Bensurto1, John Kevin Falogme1, Jea Janelle Fontamillas1, Janellene Edd Gadon1, Samaica Fernandez1, Maryjay Sagario3

    Revue Internationale de Géomatique, Vol.35, pp. 373-407, 2026, DOI:10.32604/rig.2026.083180 - 18 June 2026

    Abstract A landslide is the downslope movement of soil, rock, or debris driven by gravity, often triggered by natural or anthropogenic factors. The Philippines is highly susceptible to landslides due to its steep terrain, frequent typhoons, intense rainfall, and seismic activity, resulting in significant socioeconomic and environmental impacts. Despite increasing landslide occurrences in vulnerable coastal and mountainous municipalities in the Philippines, localized and integrated Geographic Information System (GIS)-based landslide risk assessments incorporating hazard, vulnerability, and exposure components remain limited in small island municipalities such as San Andres, Romblon. This study assesses landslide risk in the Municipality… More >

  • Open Access

    ARTICLE

    An Orchestration Model for TARA across Vehicle Manufacturers and Suppliers in Software-Defined Vehicles

    Yunkeun Song1, Samuel Woo2, Suji Lee3, Yousik Lee3,*

    CMC-Computers, Materials & Continua, Vol.88, No.2, 2026, DOI:10.32604/cmc.2026.083267 - 15 June 2026

    Abstract Software-Defined Vehicles (SDVs) increase cybersecurity complexity through the combination of external connectivity, software-intensive functions, and distributed development across vehicle manufacturers and suppliers. Although United Nations (UN) Regulation No. 155 and ISO/SAE 21434 require Threat Analysis and Risk Assessment (TARA) throughout the vehicle lifecycle, conventional TARA methodologies remain largely system-focused and often provide limited procedural guidance for coordinating supplier-derived TARA results at the vehicle level. This paper proposes an orchestration model for TARA across vehicle manufacturers and suppliers that structures TARA activities into the concept phase and the product development phases. The model defines interactions between… More >

  • Open Access

    ARTICLE

    Urban Tree Health Assessment Using Forest Health Monitoring for Eco Forest City Planning in Medan, Indonesia

    Suranto1,2, Rahmawaty1,3,*, Isnen Fitri1,4, Luthfi Hakim1,3, Abdul Rauf1,5, Delvian1,3, Mehmet Cetin6, Ilknur Zeren Cetin6, Siti Aekbal Salleh7,*

    Revue Internationale de Géomatique, Vol.35, pp. 291-313, 2026, DOI:10.32604/rig.2026.081197 - 05 June 2026

    Abstract Urban trees are a critical component of green infrastructure in tropical cities, yet city-scale evidence on tree health in Indonesia remains limited. This study assessed urban tree health in Medan City using the Forest Health Monitoring (FHM) protocol, Tree Level Index (TLI), GIS-based spatial analysis, and Normalized Difference Vegetation Index (NDVI) validation to support Eco Forest City planning. A total of 1184 trees, representing a 30% sample from 3947 inventoried trees across six sub-districts, were evaluated based on damage location, type, and severity. Average Nearest Neighbor (ANN) and Kernel Density Estimation (KDE) were applied to… More >

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