Ramadan Abdul-Rashid¹, Mohd Amiruddin Abd Rahman^1,*, Abdulaziz Yagoub Barnawi²

CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.3, pp. 3213-3250, 2025, DOI:10.32604/cmes.2025.066589 - 30 September 2025

Abstract Accurate time synchronization is fundamental to the correct and efficient operation of Wireless Sensor Networks (WSNs), especially in security-critical, time-sensitive applications. However, most existing protocols degrade substantially under malicious interference. We introduce iSTSP, an Intelligent and Secure Time Synchronization Protocol that implements a four-stage defense pipeline to ensure robust, precise synchronization even in hostile environments: (1) trust preprocessing that filters node participation using behavioral trust scoring; (2) anomaly isolation employing a lightweight autoencoder to detect and excise malicious nodes in real time; (3) reliability-weighted consensus that prioritizes high-trust nodes during time aggregation; and (4) convergence-optimized synchronization… More >

Valentin Stangaciu^*, Mihai-Vladimir Ghimpau, Adrian-Gabriel Sztanarec

CMC-Computers, Materials & Continua, Vol.85, No.2, pp. 3213-3229, 2025, DOI:10.32604/cmc.2025.068844 - 23 September 2025

Abstract Along with process control, perception represents the main function performed by the Edge Layer of an Internet of Things (IoT) network. Many of these networks implement various applications where the response time does not represent an important parameter. However, in critical applications, this parameter represents a crucial aspect. One important sensing device used in IoT designs is the accelerometer. In most applications, the response time of the embedded driver software handling this device is generally not analysed and not taken into account. In this paper, we present the design and implementation of a predictable real-time More >

Chao Li^1,3,#, Chen Wang^1,3,#, Caichang Ding^2,*, Yonghao Liao^1,3, Zhiwei Ye^1,3

CMC-Computers, Materials & Continua, Vol.85, No.2, pp. 3129-3149, 2025, DOI:10.32604/cmc.2025.067440 - 23 September 2025

Abstract Deep learning-based semantic communication has achieved remarkable progress with CNNs and Transformers. However, CNNs exhibit constrained performance in high-resolution image transmission, while Transformers incur high computational cost due to quadratic complexity. Recently, VMamba, a novel state space model with linear complexity and exceptional long-range dependency modeling capabilities, has shown great potential in computer vision tasks. Inspired by this, we propose MNTSCC, an efficient VMamba-based nonlinear joint source-channel coding (JSCC) model for wireless image transmission. Specifically, MNTSCC comprises a VMamba-based nonlinear transform module, an MCAM entropy model, and a JSCC module. In the encoding stage, the… More >

Michael Juma Ayuma^1,*, Shem Mbandu Angolo¹, Philemon Nthenge Kasyoka², Simon Maina Karume³

Journal of Cyber Security, Vol.7, pp. 307-341, 2025, DOI:10.32604/jcs.2025.067360 - 02 September 2025

Abstract Token transmission is a fundamental component in diverse domains, including computer networks, blockchain systems, distributed architectures, financial transactions, secure communications, and identity verification. Ensuring optimal performance during transmission is essential for maintaining the efficiency of data in transit. However, persistent threats from adversarial actors continue to pose significant risks to the integrity, authenticity, and confidentiality of transmitted data. This study presents a comprehensive review of existing research on token transmission techniques, examining the roles of transmission channels, emerging trends, and the associated security and performance implications. A critical analysis is conducted to assess the strengths, More >

Mengqiang Yu¹, Xingcheng Wang¹, Chen Quan¹, Mingxin Sun¹, Yujun Yang², Xiaodong He¹, Wu Sun^2,*, Pengfei Cao^1,*

Structural Durability & Health Monitoring, Vol.19, No.5, pp. 1127-1143, 2025, DOI:10.32604/sdhm.2025.067069 - 05 September 2025

Abstract Accurate measurement of anchor rod length is crucial for ensuring structural safety in tunnel engineering, yet conventional destructive techniques face limitations in efficiency and adaptability to complex underground environments. This study presents a novel wireless instrument based on the standing wave principle to enable remote, non-destructive length assessment. The system employs a master-slave architecture, where a handheld transmitter unit initiates measurements through robust 433 MHz wireless communication, optimized for signal penetration in obstructed spaces. The embedded measurement unit, integrated with anchor rods during installation, utilizes frequency-scanning technology to excite structural resonances. By analyzing standing wave… More >

Fang-Yie Leu¹, Kun-Lin Tsai^2,*, Li-Woei Chen³, Deng-Yao Yao², Jian-Fu Tsai², Ju-Wei Zhu², Guo-Wei Wang²

CMC-Computers, Materials & Continua, Vol.85, No.1, pp. 1937-1957, 2025, DOI:10.32604/cmc.2025.068486 - 29 August 2025

Abstract With the rapid development of Cloud-Edge-End (CEE) computing, the demand for secure and lightweight communication protocols is increasingly critical, particularly for latency-sensitive applications such as smart manufacturing, healthcare, and real-time monitoring. While traditional cryptographic schemes offer robust protection, they often impose excessive computational and energy overhead, rendering them unsuitable for use in resource-constrained edge and end devices. To address these challenges, in this paper, we propose a novel lightweight encryption framework, namely Dynamic Session Key Allocation with Time-Indexed Ascon (DSKA-TIA). Built upon the NIST-endorsed Ascon algorithm, the DSKA-TIA introduces a time-indexed session key generation mechanism… More >

Mohammed Naif Alatawi^*

CMC-Computers, Materials & Continua, Vol.85, No.1, pp. 695-727, 2025, DOI:10.32604/cmc.2025.066606 - 29 August 2025

Abstract Adaptive robust secure framework plays a vital role in implementing intelligent automation and decentralized decision making of Industry 5.0. Latency, privacy risks and the complexity of industrial networks have been preventing attempts at traditional cloud-based learning systems. We demonstrate that, to overcome these challenges, for instance, the EdgeGuard-IoT framework, a 6G edge intelligence framework enhancing cybersecurity and operational resilience of the smart grid, is needed on the edge to integrate Secure Federated Learning (SFL) and Adaptive Anomaly Detection (AAD). With ultra-reliable low latency communication (URLLC) of 6G, artificial intelligence-based network orchestration, and massive machine type… More >

Tarak Nandy^1,*, Sananda Bhattacharyya²

CMC-Computers, Materials & Continua, Vol.85, No.1, pp. 181-219, 2025, DOI:10.32604/cmc.2025.066306 - 29 August 2025

Abstract In the rapidly evolving landscape of intelligent transportation systems, the security and authenticity of vehicular communication have emerged as critical challenges. As vehicles become increasingly interconnected, the need for robust authentication mechanisms to safeguard against cyber threats and ensure trust in an autonomous ecosystem becomes essential. On the other hand, using intelligence in the authentication system is a significant attraction. While existing surveys broadly address vehicular security, a critical gap remains in the systematic exploration of Deep Learning (DL)-based authentication methods tailored to these communication paradigms. This survey fills that gap by offering a comprehensive… More >

Traci N. Adams^1,*, Carol S. North²

International Journal of Mental Health Promotion, Vol.27, No.7, pp. 1045-1050, 2025, DOI:10.32604/ijmhp.2025.065144 - 31 July 2025

Abstract Physician mental health (MH) is in crisis, particularly in high-stress areas of medicine such as the emergency room and the intensive care unit. The high prevalence of burnout and psychiatric illness among critical care physicians, along with delays in seeking psychiatric care, can lead to suicide, ruined careers, damaged relationships, and medical errors. Psychoeducation programs can reduce MH sick leave days, increase empathy, and enhance help-seeking attitudes. The purpose of this brief communication is to demonstrate that physician psychoeducation programs can improve patient care, improve outcomes in physicians with psychiatric illness, and improve burnout rates, More >

Gang Liu¹, Guosheng Xu^1,*, Chenyu Wang¹, Guoai Xu²

CMC-Computers, Materials & Continua, Vol.84, No.3, pp. 4851-4868, 2025, DOI:10.32604/cmc.2025.066331 - 30 July 2025

Abstract In wireless communication transmission, image encryption plays a key role in protecting data privacy against unauthorized access. However, conventional encryption methods often face challenges in key space security, particularly when relying on chaotic sequences, which may exhibit vulnerabilities to brute-force and predictability-based attacks. To address the limitations, this paper presents a robust and efficient encryption scheme that combines iterative hyper-chaotic systems and Convolutional Neural Networks (CNNs). Firstly, a novel two-dimensional iterative hyper-chaotic system is proposed because of its complex dynamic behavior and expanded parameter space, which can enhance the key space complexity and randomness, ensuring… More >