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  • Open Access

    REVIEW

    Intrusion Detection Systems in Industrial Control Systems: Landscape, Challenges and Opportunities

    Tong Wu, Dawei Zhou, Qingyu Ou*, Fang Luo

    CMC-Computers, Materials & Continua, Vol.86, No.3, 2026, DOI:10.32604/cmc.2025.073482 - 12 January 2026

    Abstract The increasing interconnection of modern industrial control systems (ICSs) with the Internet has enhanced operational efficiency, but also made these systems more vulnerable to cyberattacks. This heightened exposure has driven a growing need for robust ICS security measures. Among the key defences, intrusion detection technology is critical in identifying threats to ICS networks. This paper provides an overview of the distinctive characteristics of ICS network security, highlighting standard attack methods. It then examines various intrusion detection methods, including those based on misuse detection, anomaly detection, machine learning, and specialised requirements. This paper concludes by exploring More >

  • Open Access

    REVIEW

    A Comprehensive Survey on Blockchain-Enabled Techniques and Federated Learning for Secure 5G/6G Networks: Challenges, Opportunities, and Future Directions

    Muhammad Asim1,*, Abdelhamied A. Ateya1, Mudasir Ahmad Wani1,2, Gauhar Ali1, Mohammed ElAffendi1, Ahmed A. Abd El-Latif1, Reshma Siyal3

    CMC-Computers, Materials & Continua, Vol.86, No.3, 2026, DOI:10.32604/cmc.2025.070684 - 12 January 2026

    Abstract The growing developments in 5G and 6G wireless communications have revolutionized communications technologies, providing faster speeds with reduced latency and improved connectivity to users. However, it raises significant security challenges, including impersonation threats, data manipulation, distributed denial of service (DDoS) attacks, and privacy breaches. Traditional security measures are inadequate due to the decentralized and dynamic nature of next-generation networks. This survey provides a comprehensive review of how Federated Learning (FL), Blockchain, and Digital Twin (DT) technologies can collectively enhance the security of 5G and 6G systems. Blockchain offers decentralized, immutable, and transparent mechanisms for securing More >

  • Open Access

    PROCEEDINGS

    Shape-Memory Elastomers for Soft Actuators: Challenges and Opportunities

    Jin Wang*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.3, pp. 1-1, 2025, DOI:10.32604/icces.2025.011894

    Abstract Shape-memory elastomers (SMEs) have emerged as promising smart-materials platforms for soft actuators and intelligent structures due to their programmable thermally-induced reversible shape transformations. However, four critical scientific and technological challenges impede their practical engineering implementation. First, the thermodynamic and molecular mechanisms governing their thermomechanical behavior remain incompletely elucidated. Second, achieving large reversible deformations requires retention of molecular orientation during thermal actuation cycles- a persistent challenge given their large strain recovery at the heating temperature. Third, while biological muscles achieve sub-second actuation, current SME systems exhibit response times spanning several seconds, necessitating at least one order More >

  • Open Access

    REVIEW

    Blockchain Integration in IoT: Applications, Opportunities, and Challenges

    Mozhgan Gholami1, Ali Ghaffari1,2,3,*, Nahideh Derakhshanfard1, Nadir iBRAHIMOĞLU4, Ali Asghar Pourhaji Kazem2

    CMC-Computers, Materials & Continua, Vol.83, No.2, pp. 1561-1605, 2025, DOI:10.32604/cmc.2025.063304 - 16 April 2025

    Abstract The Internet has been enhanced recently by blockchain and Internet of Things (IoT) networks. The Internet of Things is a network of various sensor-equipped devices. It gradually integrates the Internet, sensors, and cloud computing. Blockchain is based on encryption algorithms, which are shared database technologies on the Internet. Blockchain technology has grown significantly because of its features, such as flexibility, support for integration, anonymity, decentralization, and independent control. Computational nodes in the blockchain network are used to verify online transactions. However, this integration creates scalability, interoperability, and security challenges. Over the last decade, several advancements… More >

  • Open Access

    REVIEW

    FOXR2 in cancer development: emerging player and therapeutic opportunities

    PIAO YANG1, MOHSEN SHEYKHHASAN2,*, REZA HEIDARI3, MOHSEN CHAMANARA4,5, PAOLA DAMA6, AMIRHOSSEIN AHMADIEH-YAZDI7, HAMED MANOOCHEHRI8, HAMID TANZADEHPANAH9, HANIE MAHAKI10, NASER KALHOR11, ASHKAN DIRBAZIYAN12, SHARAFALDIN AL-MUSAWI13

    Oncology Research, Vol.33, No.2, pp. 283-300, 2025, DOI:10.32604/or.2024.052939 - 16 January 2025

    Abstract Cancer, a leading cause of global mortality, remains a significant challenge to increasing life expectancy worldwide. Forkhead Box R2 (FOXR2), identified as an oncogene within the FOX gene family, plays a crucial role in developing various endoderm-derived organs. Recent studies have elucidated FOXR2-related pathways and their involvement in both tumor and non-tumor diseases. Dysregulation of FOXR2 has been linked to numerous malignant tumors, spanning the brain, nervous system, thyroid, osteosarcoma, Hodgkin lymphoma, colorectal, liver, pancreatic, lung, breast, ovarian, prostate, female genital tract, endometrial, and uterine cancers. Despite extensive research on FOXR2 dysregulation, its practical applications More >

  • Open Access

    REVIEW

    Opportunities and challenges of CD47-targeted therapy in cancer immunotherapy

    QIUQIANG CHEN1,*, XUEJUN GUO2, WENXUE MA3,*

    Oncology Research, Vol.32, No.1, pp. 49-60, 2024, DOI:10.32604/or.2023.042383 - 15 November 2023

    Abstract Cancer immunotherapy has emerged as a promising strategy for the treatment of cancer, with the tumor microenvironment (TME) playing a pivotal role in modulating the immune response. CD47, a cell surface protein, has been identified as a crucial regulator of the TME and a potential therapeutic target for cancer therapy. However, the precise functions and implications of CD47 in the TME during immunotherapy for cancer patients remain incompletely understood. This comprehensive review aims to provide an overview of CD47’s multifaced role in TME regulation and immune evasion, elucidating its impact on various types of immunotherapy… More > Graphic Abstract

    Opportunities and challenges of CD47-targeted therapy in cancer immunotherapy

  • Open Access

    ARTICLE

    Recapitulation Web 3.0: Architecture, Features and Technologies, Opportunities and Challenges

    Amtul Waheed, Bhawna Dhupia*, Sultan Mesfer Aldossary

    Intelligent Automation & Soft Computing, Vol.37, No.2, pp. 1609-1620, 2023, DOI:10.32604/iasc.2023.037539 - 21 June 2023

    Abstract Tim Berners-Lee developed the internet at CERN in early 1990 with fundamental technologies such as HTML, URL, and HTTP which became the foundation of the web. The contemporary web we use today has been much advanced over a period of time ever since the innovation of the World Wide Web was introduced. The static web was the first version of the web, which was the read-only web. Succeeding development in web technology is web 3.0 which is a distributed and decentralized web with emerging technologies. This article emphasizes the comparison of important details with the… More >

  • Open Access

    ARTICLE

    Deep Learning-Based Swot Analysis in Construction and Demolition Waste Management

    R. Rema*, N. Nalanth

    Intelligent Automation & Soft Computing, Vol.36, No.2, pp. 1497-1506, 2023, DOI:10.32604/iasc.2023.032540 - 05 January 2023

    Abstract Researchers worldwide have employed a varied array of sources to calculate the successful management of Construction and Demolition (C&DW). Limited research has been undertaken in the domain of Construction and Demolition Waste Management (C&DWM) and consequently leaving a large gap in the availability of effective management techniques. Due to the limited time available for building removal and materials collection, preparing for building materials reuse at the end of life is frequently a challenging task. In this research work Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM) is proposed to predict the number of waste materials that are More >

  • Open Access

    ARTICLE

    Internet of Cultural Things: Current Research, Challenges and Opportunities

    Xiaoting Liang1, Fang Liu1,*, Linqi Wang1, Baoying Zheng1, Yiyuan Sun2

    CMC-Computers, Materials & Continua, Vol.74, No.1, pp. 469-488, 2023, DOI:10.32604/cmc.2023.029641 - 22 September 2022

    Abstract Driven by the visions of the Internet of Things (IoT), Artificial Intelligence (AI), and 5G communications, the Internet of Cultural Things (IoCT) realize the comprehensive interconnection among cultural products, cultural services, cultural resources, and cultural platforms, bringing individuals with richer humanistic experience, increasing economic benefits for the cultural sector, and promoting the development of cultural heritage protection and education. At present, IoCT has received widespread attention in both industry and academia. To explore new research opportunities and assist users in constructing suitable IoCT systems for specific applications, this survey provides a comprehensive overview of the More >

  • Open Access

    REVIEW

    Intelligent Identification over Power Big Data: Opportunities, Solutions, and Challenges

    Liang Luo1, Xingmei Li1, Kaijiang Yang1, Mengyang Wei1, Jiong Chen1, Junqian Yang1, Liang Yao2,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.3, pp. 1565-1595, 2023, DOI:10.32604/cmes.2022.021198 - 20 September 2022

    Abstract The emergence of power dispatching automation systems has greatly improved the efficiency of power industry operations and promoted the rapid development of the power industry. However, with the convergence and increase in power data flow, the data dispatching network and the main station dispatching automation system have encountered substantial pressure. Therefore, the method of online data resolution and rapid problem identification of dispatching automation systems has been widely investigated. In this paper, we perform a comprehensive review of automated dispatching of massive dispatching data from the perspective of intelligent identification, discuss unresolved research issues and More >

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