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Search Results (29)
  • Open Access

    ARTICLE

    An Efficient Security Solution for Industrial Internet of Things Applications

    Alaa Omran Almagrabi*

    CMC-Computers, Materials & Continua, Vol.72, No.2, pp. 3961-3983, 2022, DOI:10.32604/cmc.2022.026513

    Abstract The Industrial Internet of Things (IIoT) has been growing for presentations in industry in recent years. Security for the IIoT has unavoidably become a problem in terms of creating safe applications. Due to continual needs for new functionality, such as foresight, the number of linked devices in the industrial environment increases. Certification of fewer signatories gives strong authentication solutions and prevents trustworthy third parties from being publicly certified among available encryption instruments. Hence this blockchain-based endpoint protection platform (BCEPP) has been proposed to validate the network policies and reduce overall latency in isolation or hold… More >

  • Open Access

    ARTICLE

    Metaheuristic Resource Allocation Strategy for Cluster Based 6G Industrial Applications

    Anwer Mustafa Hilal1,*, Lamia Osman Widaa2, Fahd N. Al-Wesabi3, Mohammad Medani3, Manar Ahmed Hamza1, Mesfer Al Duhayyim4

    CMC-Computers, Materials & Continua, Vol.71, No.1, pp. 667-681, 2022, DOI:10.32604/cmc.2022.021338

    Abstract The emergence of Beyond 5G (B5G) and 6G networks translated personal and industrial operations highly effective, reliable, and gainful by speeding up the growth of next generation Internet of Things (IoT). Industrial equipment in 6G encompasses a huge number of wireless sensors, responsible for collecting massive quantities of data. At the same time, 6G network can take real-world intelligent decisions and implement automated equipment operations. But the inclusion of different technologies into the system increased its energy consumption for which appropriate measures need to be taken. This has become mandatory for optimal resource allocation in… More >

  • Open Access

    ARTICLE

    An Intelligent Hybrid Mutual Authentication Scheme for Industrial Internet of Thing Networks

    Muhammad Adil1, Jehad Ali2, Muhammad Sajjad Khan3, Junsu Kim3, Ryan Alturki4, Mohammad Zakarya4, Mukhtaj Khan4, Rahim Khan4, Su Min Kim3,*

    CMC-Computers, Materials & Continua, Vol.68, No.1, pp. 447-470, 2021, DOI:10.32604/cmc.2021.014967

    Abstract Internet of Things (IoT) network used for industrial management is vulnerable to different security threats due to its unstructured deployment, and dynamic communication behavior. In literature various mechanisms addressed the security issue of Industrial IoT networks, but proper maintenance of the performance reliability is among the common challenges. In this paper, we proposed an intelligent mutual authentication scheme leveraging authentication aware node (AAN) and base station (BS) to identify routing attacks in Industrial IoT networks. The AAN and BS uses the communication parameter such as a route request (RREQ), node-ID, received signal strength (RSS), and More >

  • Open Access

    ARTICLE

    Cyber Security and Privacy Issues in Industrial Internet of Things

    NZ Jhanjhi1, Mamoona Humayun2,*, Saleh N. Almuayqil2

    Computer Systems Science and Engineering, Vol.37, No.3, pp. 361-380, 2021, DOI:10.32604/csse.2021.015206

    Abstract The emergence of industry 4.0 stems from research that has received a great deal of attention in the last few decades. Consequently, there has been a huge paradigm shift in the manufacturing and production sectors. However, this poses a challenge for cybersecurity and highlights the need to address the possible threats targeting (various pillars of) industry 4.0. However, before providing a concrete solution certain aspect need to be researched, for instance, cybersecurity threats and privacy issues in the industry. To fill this gap, this paper discusses potential solutions to cybersecurity targeting this industry and highlights… More >

  • Open Access

    ARTICLE

    Social Distancing and Isolation Management Using Machine-to-Machine Technologies to Prevent Pandemics

    Muhammad Saad1, Maaz Bin Ahmad1, Muhammad Asif2,*, Khalid Masood2, Mohammad A. Al Ghamdi3

    CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 3545-3562, 2021, DOI:10.32604/cmc.2021.015720

    Abstract Social distancing and self-isolation management are crucial preventive measures that can save millions of lives during challenging pandemics of diseases such as the Spanish flu, swine flu, and coronavirus disease 2019 (COVID-19). This study describes the comprehensive and effective implementation of the Industrial Internet of Things and machine-to-machine technologies for social distancing and smart self-isolation management. These technologies can help prevent outbreaks of any disease that can disperse widely and develop into a pandemic. Initially, a smart wristband is proposed that incorporates Bluetooth beacon technology to facilitate the tracing and tracking of Bluetooth Low Energy… More >

  • Open Access

    ARTICLE

    Authenblue: A New Authentication Protocol for the Industrial Internet of Things

    Rachid Zagrouba1,*, Asayel AlAbdullatif1, Kholood AlAjaji1, Norah Al-Serhani1, Fahd Alhaidari1, Abdullah Almuhaideb2, Atta-ur-Rahman2

    CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 1103-1119, 2021, DOI:10.32604/cmc.2021.014035

    Abstract The Internet of Things (IoT) is where almost anything can be controlled and managed remotely by means of sensors. Although the IoT evolution led to quality of life enhancement, many of its devices are insecure. The lack of robust key management systems, efficient identity authentication, low fault tolerance, and many other issues lead to IoT devices being easily targeted by attackers. In this paper we propose a new authentication protocol called Authenblue that improve the authentication process of IoT devices and Coordinators of Personal Area Network (CPANs) in an Industrial IoT (IIoT) environment. This study… More >

  • Open Access

    ARTICLE

    Robust Attack Detection Approach for IIoT Using Ensemble Classifier

    V. Priya1, I. Sumaiya Thaseen1, Thippa Reddy Gadekallu1, Mohamed K. Aboudaif2,*, Emad Abouel Nasr3

    CMC-Computers, Materials & Continua, Vol.66, No.3, pp. 2457-2470, 2021, DOI:10.32604/cmc.2021.013852

    Abstract Generally, the risks associated with malicious threats are increasing for the Internet of Things (IoT) and its related applications due to dependency on the Internet and the minimal resource availability of IoT devices. Thus, anomaly-based intrusion detection models for IoT networks are vital. Distinct detection methodologies need to be developed for the Industrial Internet of Things (IIoT) network as threat detection is a significant expectation of stakeholders. Machine learning approaches are considered to be evolving techniques that learn with experience, and such approaches have resulted in superior performance in various applications, such as pattern recognition,… More >

  • Open Access

    ARTICLE

    Blockchain-Based Data Storage Mechanism for Industrial Internet of Things

    Jin Wang1,2, Wencheng Chen1, Lei Wang3, Yongjun Ren4,*, R. Simon Sherratt5

    Intelligent Automation & Soft Computing, Vol.26, No.5, pp. 1157-1172, 2020, DOI:10.32604/iasc.2020.012174

    Abstract With the development of the Industrial Internet of Things and the continuous expansion of application scenarios, many development bottlenecks have followed. Its data security issue has become an obstacle to its widespread application. It has attracted substantial attention from both academia and industry. Blockchain technology has the characteristics of decentralization, openness and transparency and non-tampering. It has natural advantages in solving the security of the Industrial Internet of Things. Accordingly, this paper first analyzes the security risks associated with data storage in the Industrial Internet of Things and proposes the use of blockchain technology to… More >

  • Open Access

    ARTICLE

    Performance Analysis of Intelligent CR-NOMA Model for Industrial IoT Communications

    Yinghua Zhang1,2, Jian Liu1, Yunfeng Peng1, Yanfang Dong2, Changming Zhao3,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.1, pp. 239-257, 2020, DOI:10.32604/cmes.2020.010778

    Abstract Aiming for ultra-reliable low-latency wireless communications required in industrial internet of things (IIoT) applications, this paper studies a simple cognitive radio non-orthogonal multiple access (CR-NOMA) downlink system. This system consists of two secondary users (SUs) dynamically interfered by the primary user (PU), and its performance is characterized by the outage probability of the SU communications. This outage probability is calculated under two conditions where, a) the transmission of PU starts after the channel state information (CSI) is acquired, so the base station (BS) is oblivious of the interference, and b) when the BS is aware… More >

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