Network Architecture and Evolution

Synthesis lectures on communications, Год журнала: 2025, Номер unknown, С. 35 - 49

Опубликована: Янв. 1, 2025

Язык: Английский

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Blending lossy and lossless data compression methods to support health data streaming in smart cities

Future Generation Computer Systems, Год журнала: 2025, Номер unknown, С. 107748 - 107748

Опубликована: Фев. 1, 2025

Язык: Английский

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Digital Twins, Extended Reality, and Artificial Intelligence in Manufacturing Reconfiguration: A Systematic Literature Review

Sustainability, Год журнала: 2025, Номер 17(5), С. 2318 - 2318

Опубликована: Март 6, 2025

This review draws on a systematic literature and bibliometric analysis to examine how Digital Twins (DTs), Extended Reality (XR), Artificial Intelligence (AI) support the reconfiguration of Cyber–Physical Systems (CPSs) in modern manufacturing. The aims provide an updated overview these technologies’ roles CPS reconfiguration, summarize best practices, suggest future research directions. In two-phase process, we first analyzed related work assess current state assisted manufacturing identify gaps existing reviews. Based insights, adapted PRISMA methodology was applied screen 165 articles from Scopus Web Science databases, focusing those published between 2019 2025 addressing DT, XR, AI integration Reconfigurable Manufacturing (RMSs). After applying exclusion criteria, 38 were selected for final analysis. findings highlight individual combined impact DTs, processes. DTs notably reduce time improve system availability, enhances decision-making, XR improves human–machine interactions. Despite advancements, gap exists regarding application technologies, indicating potential areas exploration. reviewed studies recognized limitations, especially due diverse study designs methodologies that may introduce risks bias, yet offers insight into landscape RMS suggests research.

Язык: Английский

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Advances and Strategies in Quantum Computing Integration for Cybersecurity: A Systematic Literature Review

Communications in computer and information science, Год журнала: 2025, Номер unknown, С. 269 - 282

Опубликована: Янв. 1, 2025

Язык: Английский

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Digital Twin-Based Active Learning for Industrial Process Control and Supervision in Industry 4.0

Sensors, Год журнала: 2025, Номер 25(7), С. 2076 - 2076

Опубликована: Март 26, 2025

The integration of Digital Twin technology into active learning environments has been established as an innovative strategy to optimize engineering education. This study focuses on the development and evaluation a tool based technology, enabling interaction communication between physical teaching module virtualized environment representing industrial cocoa production process. system was operated by students using S7-1200 PLC HMI interface developed in WinCC, facilitating real-time process monitoring control via IoT. To assess its impact, experimental design implemented, comparing pre-test conventional modules with post-test incorporating technology. results indicate significant improvement students' accuracy efficiency, 38% reduction task execution time. is attributed system's immersive interactive capabilities, which allow for simulation actuator sensor behavior under real-world conditions. These findings highlight potential Twins not only educational tools but also valuable assets optimization sector, aligning Industry 4.0 principles.

Язык: Английский

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Enhancing security and scalability by AI/ML workload optimization in the cloud

Cluster Computing, Год журнала: 2024, Номер 27(10), С. 13455 - 13469

Опубликована: Июнь 28, 2024

Язык: Английский

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Cybersecurity and Privacy Challenges in Extended Reality: Threats, Solutions, and Risk Mitigation Strategies

Virtual Worlds, Год журнала: 2024, Номер 4(1), С. 1 - 1

Опубликована: Дек. 30, 2024

Extended Reality (XR), encompassing Augmented (AR), Virtual (VR), and Mixed (MR), enables immersive experiences across various fields, including entertainment, healthcare, education. However, its data-intensive interactive nature introduces significant cybersecurity privacy challenges. This paper presents a detailed adversary model to identify threat actors attack vectors in XR environments. We analyze key risks, identity theft behavioral data leakage, which can lead profiling, manipulation, or invasive targeted advertising. To mitigate these we explore technical solutions such as Advanced Encryption Standard (AES), Rivest–Shamir–Adleman (RSA), Elliptic Curve Cryptography (ECC) for secure transmission, multi-factor biometric authentication, anonymization techniques, AI-driven anomaly detection real-time monitoring. A comparative benchmark evaluates solutions’ practicality, strengths, limitations applications. The findings emphasize the need holistic approach, combining robust measures with privacy-centric policies, ecosystems ensure user trust.

Язык: Английский

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Data structure and privacy protection analysis in big data environment based on blockchain technology

International Journal of Intelligent Networks, Год журнала: 2024, Номер 5, С. 120 - 132

Опубликована: Янв. 1, 2024

In today's digital world, the rapid advancement of Information Technology (IT) has made it crucial to prioritize protection and management data storage retrieval. It is vital challenge difficulties related dispersed decentralized build strong mechanisms for access control provide effective authorization authentication in processing. contemporary context IT, imperative secure retrieval become distinctly observed. The challenges posed by distributed demand development robust control, demanding a focus on proper transaction This research addresses existing gap comprehensively adapting structures effectively evolving needs control. uses Enhanced Merkle Tree (EMT) as novel structure. article initially modifies conventional (MT) structure used Blockchain technology suit e-healthcare Systems (e-HS) requirements. EMT enhances security significantly improves integrity management. Its constant three-degree MT with multiple leaves, branches, single root node enables updated authentication, verification, validation procedures. proposed method applied e-HS scenario, outperforms state-of-the-art techniques, achieving minimal verification time 14.26 m 100 transactions. research, therefore, contributes discourse presenting an innovative efficient solution tailored unique e-health systems.

Язык: Английский

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A comprehensive review of energy efficient routing protocols for query driven wireless sensor networks

F1000Research, Год журнала: 2024, Номер 12, С. 644 - 644

Опубликована: Апрель 16, 2024

In this current era of communications and networking, The Internet things plays the main role in making smart communication networking. In article, we have focused on literature survey wireless sensor networks which are energy efficient. Various standard protocols reviewed along with some enhanced makes network comparison respect to various applications is thoroughly done article. outcomes also briefly discussed. For easier analysis future researchers, a comparative table lists compared counterparts factors for efficiency protocols. This article comments issues challenges can be further analyzed more efficient.

Язык: Английский

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Analysis of Wireless Multimedia Big Data Transmission Based on Adaptive Scheduling Algorithm

Deleted Journal, Год журнала: 2024, Номер 20(6s), С. 188 - 197

Опубликована: Апрель 29, 2024

The increasing demand for wireless multimedia applications has prompted the need efficient data transmission strategies that can adapt to dynamic network conditions and diverse Quality of Service (QoS) requirements. This paper analyzes big using an innovative Adaptive QoS-Aware Scheduling Algorithm (AQOS-ASA). proposed algorithm aims optimize by dynamically adjusting scheduling based on QoS considerations real-time conditions. Through adaptive scheduling, ensures high-priority receives optimal treatment, balancing quality preferences set users. allocates time slots changing conditions, allowing utilization available bandwidth. analyses algorithm's performance in different scenarios through simulations evaluations, highlighting its effectiveness adapting varying requirements results demonstrate significantly enhances efficiency transmission, making it well-suited with content environments. findings contribute valuable insights communication provide a foundation further advancements algorithms improved Service.

Язык: Английский

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