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  • Open Access

    REVIEW

    Security Challenges and Analysis Tools in Internet of Health Things: A Comprehensive Review

    Enas W. Abood1, Ali A. Yassin2,*, Zaid Ameen Abduljabbar2,3,4,*, Vincent Omollo Nyangaresi5,6, Iman Qays Abduljaleel2, Abdulla J. Y. Aldarwish2, Husam A. Neamah7,8

    CMC-Computers, Materials & Continua, Vol.85, No.2, pp. 2305-2345, 2025, DOI:10.32604/cmc.2025.066579 - 23 September 2025

    Abstract The digital revolution era has impacted various domains, including healthcare, where digital technology enables access to and control of medical information, remote patient monitoring, and enhanced clinical support based on the Internet of Health Things (IoHTs). However, data privacy and security, data management, and scalability present challenges to widespread adoption. This paper presents a comprehensive literature review that examines the authentication mechanisms utilized within IoHT, highlighting their critical roles in ensuring secure data exchange and patient privacy. This includes various authentication technologies and strategies, such as biometric and multi-factor authentication, as well as the influence More >

  • Open Access

    REVIEW

    Comprehensive Analysis of IoT Security: Threats, Detection Methods, and Defense Strategies

    Akhila Reddy Yadulla, Mounica Yenugula, Vinay Kumar Kasula*, Bhargavi Konda, Bala Yashwanth Reddy Thumma

    Journal on Internet of Things, Vol.7, pp. 19-48, 2025, DOI:10.32604/jiot.2025.062733 - 11 July 2025

    Abstract This study systematically reviews the Internet of Things (IoT) security research based on literature from prominent international cybersecurity conferences over the past five years, including ACM Conference on Computer and Communications Security (ACM CCS), USENIX Security, Network and Distributed System Security Symposium (NDSS), and IEEE Symposium on Security and Privacy (IEEE S&P), along with other high-impact studies. It organizes and analyzes IoT security advancements through the lenses of threats, detection methods, and defense strategies. The foundational architecture of IoT systems is first outlined, followed by categorizing major threats into eight distinct types and analyzing their More >

  • Open Access

    ARTICLE

    Addressing Modern Cybersecurity Challenges: A Hybrid Machine Learning and Deep Learning Approach for Network Intrusion Detection

    Khadija Bouzaachane1,*, El Mahdi El Guarmah2, Abdullah M. Alnajim3, Sheroz Khan4

    CMC-Computers, Materials & Continua, Vol.84, No.2, pp. 2391-2410, 2025, DOI:10.32604/cmc.2025.065031 - 03 July 2025

    Abstract The rapid increase in the number of Internet of Things (IoT) devices, coupled with a rise in sophisticated cyberattacks, demands robust intrusion detection systems. This study presents a holistic, intelligent intrusion detection system. It uses a combined method that integrates machine learning (ML) and deep learning (DL) techniques to improve the protection of contemporary information technology (IT) systems. Unlike traditional signature-based or single-model methods, this system integrates the strengths of ensemble learning for binary classification and deep learning for multi-class classification. This combination provides a more nuanced and adaptable defense. The research utilizes the NF-UQ-NIDS-v2… More >

  • Open Access

    REVIEW

    Managing Smart Technologies with Software-Defined Networks for Routing and Security Challenges: A Survey

    Babangida Isyaku1,2, Kamalrulnizam Bin Abu Bakar2,*

    Computer Systems Science and Engineering, Vol.47, No.2, pp. 1839-1879, 2023, DOI:10.32604/csse.2023.040456 - 28 July 2023

    Abstract Smart environments offer various services, including smart cities, e-healthcare, transportation, and wearable devices, generating multiple traffic flows with different Quality of Service (QoS) demands. Achieving the desired QoS with security in this heterogeneous environment can be challenging due to traffic flows and device management, unoptimized routing with resource awareness, and security threats. Software Defined Networks (SDN) can help manage these devices through centralized SDN controllers and address these challenges. Various schemes have been proposed to integrate SDN with emerging technologies for better resource utilization and security. Software Defined Wireless Body Area Networks (SDWBAN) and Software More >

  • Open Access

    ARTICLE

    Security and Privacy Aspects of Cloud Computing: A Smart Campus Case Study

    Sajid Habib Gill1, Mirza Abdur Razzaq1, Muneer Ahmad2, Fahad M. Almansour3, Ikram Ul Haq4, NZ Jhanjhi5,*, Malik Zaib Alam6, Mehedi Masud7

    Intelligent Automation & Soft Computing, Vol.31, No.1, pp. 117-128, 2022, DOI:10.32604/iasc.2022.016597 - 03 September 2021

    Abstract The trend of cloud computing is accelerating along with emerging technologies such as utility computing, grid computing, and distributed computing. Cloud computing is showing remarkable potential to provide flexible, cost-effective, and powerful resources across the internet, and is a driving force in today’s most prominent computing technologies. The cloud offers the means to remotely access and store data while virtual machines access data over a network resource. Furthermore, cloud computing plays a leading role in the fourth industrial revolution. Everyone uses the cloud daily life when accessing Dropbox, various Google services, and Microsoft Office 365.… More >

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