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Research Article

BEST PAPER 2021

Current trends and Advancements for next-generation secure Industrial IoT


Submission Deadline: 16 February 2021 (closed)

Abstract

This article has no abstract.

Keywords

• Advanced ML techniques for IIoT and Nx-IIoT
• Deep learning architectures for Nx-IIoT
• Optimizations of network for Industry 4.0 and beyond
• Architectures, models and simulations for IIoT and Nx-IIoT
• Security and protocols for Nx-IIoT
• Intelligent middleware design for efficient Nx-IIoT applications
• Cyber and network security algorithms using Nx- IIoT
• Resource allocation and management in Industry 4.0 and beyond
• Security issues, challenges and solutions for IIoT
• Big data and secure cryptography for Nx-IIoT
• DNN based secure communications
• Neuro-fuzzy computations for IIoT and Nx-IIoT
• Software-defined networking for Nx-IIoT
• Cognitive communications and systems for IIoT and Nx-IIoT
• Dynamic clustering for Industry 4.0 and beyond
• Sensor cloud computations for Nx-IIoT
• Ubiquitous sensing and networking for Nx-IIoT
• Nature-inspired secure computational models
• Secure Terahertz communications for Nx-IIoT
• Cloud-RAN for IIoT and Nx-IIoT
• Advanced digital twins computations
• Secure data mining and analytics
• Ambient intelligence for multimedia applications in Nx-IIoT
• Recent trends in IIoT and Nx-IIoT applications
  • Research Article

    BEST PAPER 2021

    Security Threats to Business Information Systems Using NFC Read/Write Mode

    Sergio Rios-Aguilar1,2,*, Marta Beltrán2, González-Crespo Rubén3 CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 2955-2969, 2021, DOI:10.32604/cmc.2021.014969
    Abstract Radio Frequency IDentification (RFID) and related technologies such as Near Field Communication (NFC) are becoming essential in industrial contexts thanks to their ability to perform contactless data exchange, either device-to-device or tag-to-device. One of the three main operation modes of NFC, called read/write mode, makes use of the latter type of interaction. It is extensively used in business information systems that make use of NFC tags to provide the end-user with augmented information in one of several available NFC data exchange formats, such as plain text, simple URLs or enriched URLs. Using a wide variety of physical form factors, NFC-compatible… More >

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  • Research Article

    BEST PAPER 2021

    MMALE—A Methodology for Malware Analysis in Linux Environments

    José Javier de Vicente Mohino1, Javier Bermejo Higuera1, Juan Ramón Bermejo Higuera1, Juan Antonio Sicilia Montalvo1,*, Manuel Sánchez Rubio1, José Javier Martínez Herraiz2 CMC-Computers, Materials & Continua, Vol.67, No.2, pp. 1447-1469, 2021, DOI:10.32604/cmc.2021.014596
    Abstract In a computer environment, an operating system is prone to malware, and even the Linux operating system is not an exception. In recent years, malware has evolved, and attackers have become more qualified compared to a few years ago. Furthermore, Linux-based systems have become more attractive to cybercriminals because of the increasing use of the Linux operating system in web servers and Internet of Things (IoT) devices. Windows is the most employed OS, so most of the research efforts have been focused on its malware protection rather than on other operating systems. As a result, hundreds of research articles, documents,… More >

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  • Research Article

    BEST PAPER 2021

    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, outlier analysis, and speech recognition.… More >

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  • Research Article

    BEST PAPER 2021

    Automotive Lighting Systems Based on Luminance/Intensity Grids: A Proposal Based on Real-Time Monitoring and Control for Safer Driving

    Antonio Peña-García1,*, Huchang Liao2 CMC-Computers, Materials & Continua, Vol.66, No.3, pp. 2373-2383, 2021, DOI:10.32604/cmc.2021.013151
    Abstract The requirements for automotive lighting systems, especially the light patterns ensuring driver perception, are based on criteria related to the headlamps, rather than the light perceived by drivers and road users. Consequently, important factors such as pavement reflectance, driver age, or time of night, are largely ignored. Other factors such as presence of other vehicles, vehicle speed and weather conditions are considered by the Adaptive Driving Beam (ADB) and Adaptive Front-lighting System (AFS) respectively, though with no information regarding the visual perception of drivers and other road users. Evidently, it is simpler to simulate and measure the light emitted by… More >

    Graphic Abstract

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