Jiqiang Xia¹, Qi Zhan¹, Le Tian^1,2,3,*, Yuxiang Hu^1,2,3, Jianhua Peng⁴

CMC-Computers, Materials & Continua, Vol.86, No.1, pp. 1-19, 2026, DOI:10.32604/cmc.2025.069533 - 10 November 2025

Abstract The rapid growth of distributed data-centric applications and AI workloads increases demand for low-latency, high-throughput communication, necessitating frequent and flexible updates to network routing configurations. However, maintaining consistent forwarding states during these updates is challenging, particularly when rerouting multiple flows simultaneously. Existing approaches pay little attention to multi-flow update, where improper update sequences across data plane nodes may construct deadlock dependencies. Moreover, these methods typically involve excessive control-data plane interactions, incurring significant resource overhead and performance degradation. This paper presents P4LoF, an efficient loop-free update approach that enables the controller to reroute multiple flows through More >

Muhammad Saad Farooqui¹, Aizaz Ahmad Khattak², Bakri Hossain Awaji³, Nazik Alturki⁴, Noha Alnazzawi⁵, Muhammad Hanif^6,*, Muhammad Shahbaz Khan²

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.3, pp. 4395-4439, 2025, DOI:10.32604/cmes.2025.072023 - 23 December 2025

Abstract Quality of Service (QoS) assurance in programmable IoT and 5G networks is increasingly threatened by cyberattacks such as Distributed Denial of Service (DDoS), spoofing, and botnet intrusions. This paper presents AutoSHARC, a feedback-driven, explainable intrusion detection framework that integrates Boruta and LightGBM–SHAP feature selection with a lightweight CNN–Attention–GRU classifier. AutoSHARC employs a two-stage feature selection pipeline to identify the most informative features from high-dimensional IoT traffic and reduces 46 features to 30 highly informative ones, followed by post-hoc SHAP-guided retraining to refine feature importance, forming a feedback loop where only the most impactful attributes are More >

Yuqian Huang¹, Luyi Chen², Zilun Peng¹, Lin Cui^1,*

CMC-Computers, Materials & Continua, Vol.84, No.3, pp. 6015-6034, 2025, DOI:10.32604/cmc.2025.066717 - 30 July 2025

Abstract Persistent flows are defined as network flows that persist over multiple time intervals and continue to exhibit activity over extended periods, which are critical for identifying long-term behaviors and subtle security threats. Programmable switches provide line-rate packet processing to meet the requirements of high-speed network environments, yet they are fundamentally limited in computational and memory resources. Accurate and memory-efficient persistent flow detection on programmable switches is therefore essential. However, existing approaches often rely on fixed-window sketches or multiple sketches instances, which either suffer from insufficient temporal precision or incur substantial memory overhead, making them ineffective… More >

Taoxi Wang¹, Zhuo Liu^1,2, Fu Jian¹, Xing Shen¹, Chen Wang¹, Huwei Bian³, Tao Jiang^3,*, Wei Min Huang⁴

Journal of Polymer Materials, Vol.42, No.1, pp. 81-94, 2025, DOI:10.32604/jpm.2025.061047 - 27 March 2025

Abstract This paper presents the development of a thermoplastic shape memory rubber that can be programmed at human body temperature for comfortable fitting applications. We hybridized commercially available thermoplastic rubber (TPR) used in the footwear industry with un-crosslinked polycaprolactone (PCL) to create two samples, namely TP6040 and TP7030. The shape memory behavior, elasticity, and thermo-mechanical response of these rubbers were systematically investigated. The experimental results demonstrated outstanding shape memory performance, with both samples achieving shape fixity ratios (R_f) and shape recovery ratios (R_r) exceeding 94%. TP6040 exhibited a fitting time of 80 s at body temperature (37°C), More >

Hariharan Ramachandran^1,*, Richard Smith², Kenny Awuson David^1,*, Tawfik Al-Hadhrami³, Parag Acharya¹

CMC-Computers, Materials & Continua, Vol.82, No.2, pp. 3619-3641, 2025, DOI:10.32604/cmc.2024.054802 - 17 February 2025

Abstract This paper introduces the Integrated Security Embedded Resilience Architecture (ISERA) as an advanced resilience mechanism for Industrial Control Systems (ICS) and Operational Technology (OT) environments. The ISERA framework integrates security by design principles, micro-segmentation, and Island Mode Operation (IMO) to enhance cyber resilience and ensure continuous, secure operations. The methodology deploys a Forward-Thinking Architecture Strategy (FTAS) algorithm, which utilises an industrial Intrusion Detection System (IDS) implemented with Python’s Network Intrusion Detection System (NIDS) library. The FTAS algorithm successfully identified and responded to cyber-attacks, ensuring minimal system disruption. ISERA has been validated through comprehensive testing scenarios… More >

Jinlong Su^1,2, Chaolin Tan^2,*, Swee Leong Sing^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.32, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.012733

Abstract Tailoring thermal history during additive manufacturing (AM) offers a viable approach to customising the microstructure and properties of materials without changing alloy compositions, which is generally overlooked as it is hard to achieve in commercial materials. In this work, a customised Fe-Ni-Ti-Al maraging steel with rapid precipitation kinetics offers the opportunity to leverage thermal history during AM for achieving large-range tunable strength-ductility combinations without post heat treatment or changing alloy chemistry. The Fe-Ni-Ti-Al maraging steel was processed by laser-directed energy deposition (LDED) with different deposition strategies to tailor the thermal history. As the phase transformation… More >

Xudong Yang¹, Yifan Wang^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.4, pp. 1-1, 2024, DOI:10.32604/icces.2024.011275

Abstract Shape-morphing materials present promising avenues for mimicking the adaptive characteristics of biological organisms capable of transitioning between diverse morphologies. However, existing morphing strategies through pre-arranged localized strain and/or cut/fold patterns have a limited range of achievable geometries, and the morphed structures usually have low stiffness due to the intrinsic softness of underlying materials. To overcome these challenges, we are inspired by the inherently non-monolithic architectures in living organisms, e.g., the nacre or bone consisting of stiff building blocks joined by the weak interfaces, which endow creatures ingenious shape-morphing abilities and tunable mechanical properties through collectively… More >

Tianyu Chen¹, Yifan Wang^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.4, pp. 1-1, 2024, DOI:10.32604/icces.2024.011272

Abstract Biological organisms often possess remarkable multifunctionality through intricate structures, such as the concurrent shape-morphing and stiffness-variation in octopus. Soft robots, which are inspired by natural creatures, usually require the integration of separate modules to achieve these various functions. As a result, the whole structure is cumbersome and the control system is complex, often involving multiple control loops to finish the required task. Here, inspired by the scaly creatures in nature such as pangolins and fish, we develop a robotic structure that can vary stiffness and change shape simultaneously in a highly-integrated compact body. The scale-inspired… More >

Yuanhang Yang¹, Changjin Huang^2,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.010991

Abstract Achieving programmable and reversible deformations of soft materials is a long-standing goal for various applications in soft robotics, flexible electronics and many other fields. Swelling-induced shape-morphing has been intensively studied as one of the potential mechanisms. However, achieving an extremely large swelling ratio (>1000% in volume) remains challenging with existing swellable soft materials (e.g., hydrogels and water-swellable rubbers). Inspired by the shape change enabled by the osmosis-driven swelling in living organisms, herein, we report a polymer composite system composed of fine sodium chloride (NaCl) particles embedded in Ecoflex00-10 polymer. This Ecoflex00-10/NaCl polymer composite can achieve… More >

Minh-Son Pham^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.1, pp. 1-1, 2024, DOI:10.32604/icces.2024.011053

Abstract Novel properties of meta-materials can be achieved thanks to precisely engineering sophisticated architecture of physical structures (i.e. meta-structuring). However, relying only on the meta-structuring limits possibilities in unlocking new properties, and severely affecting the performance and programmability of meta-materials. In contrast, the metallurgical approach focuses on engineering the natural crystals’ intrinsic microstructure, allowing us to develop metallic alloys with excellent properties and performance beyond what can be obtained by the chemical composition. Recent advances in additive manufacturing (publicly known as 3D printing) enable a precisely metallurgical microstructuring of crystals such as chemical composition, crystal phases More >