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  • Open Access

    ARTICLE

    Optimized Cognitive Learning Model for Energy Efficient Fog-BAN-IoT Networks

    S. Kalpana1,*, C. Annadurai2

    Computer Systems Science and Engineering, Vol.43, No.3, pp. 1027-1040, 2022, DOI:10.32604/csse.2022.024685

    Abstract In Internet of Things (IoT), large amount of data are processed and communicated through different network technologies. Wireless Body Area Networks (WBAN) plays pivotal role in the health care domain with an integration of IoT and Artificial Intelligence (AI). The amalgamation of above mentioned tools has taken the new peak in terms of diagnosis and treatment process especially in the pandemic period. But the real challenges such as low latency, energy consumption high throughput still remains in the dark side of the research. This paper proposes a novel optimized cognitive learning based BAN model based on Fog-IoT technology as a… More >

  • Open Access

    ARTICLE

    Power Allocation in NOMA-CR for 5G Enabled IoT Networks

    Mohammed Basheri1, Mohammad Haseeb Zafar1,2,3,*, Imran Khan3

    CMC-Computers, Materials & Continua, Vol.72, No.3, pp. 5515-5530, 2022, DOI:10.32604/cmc.2022.027532

    Abstract In the power domain, non-orthogonal multiple access (NOMA) supports multiple users on the same time-frequency resources, assigns different transmission powers to different users, and differentiates users by user channel gains. Multi-user signals are superimposed and transmitted in the power domain at the transmitting end by actively implementing controllable interference information, and multi-user detection algorithms, such as successive interference cancellation (SIC) is performed at the receiving end to demodulate the necessary user signals. In contrast to the orthogonal transmission method, the non-orthogonal method can achieve higher spectrum utilization. However, it will increase the receiver complexity. With the development of microelectronics technology,… More >

  • Open Access

    ARTICLE

    An Efficient Scheme for Data Pattern Matching in IoT Networks

    Ashraf Ali*, Omar A. Saraereh

    CMC-Computers, Materials & Continua, Vol.72, No.2, pp. 2203-2219, 2022, DOI:10.32604/cmc.2022.025994

    Abstract The Internet has become an unavoidable trend of all things due to the rapid growth of networking technology, smart home technology encompasses a variety of sectors, including intelligent transportation, allowing users to communicate with anybody or any device at any time and from anywhere. However, most things are different now. Background: Structured data is a form of separated storage that slows down the rate at which everything is connected. Data pattern matching is commonly used in data connectivity and can help with the issues mentioned above. Aim: The present pattern matching system is ineffective due to the heterogeneity and rapid… More >

  • Open Access

    ARTICLE

    Intrusion Detection System for Big Data Analytics in IoT Environment

    M. Anuradha1,*, G. Mani2, T. Shanthi3, N. R. Nagarajan4, P. Suresh5, C. Bharatiraja6

    Computer Systems Science and Engineering, Vol.43, No.1, pp. 381-396, 2022, DOI:10.32604/csse.2022.023321

    Abstract In the digital area, Internet of Things (IoT) and connected objects generate a huge quantity of data traffic which feeds big data analytic models to discover hidden patterns and detect abnormal traffic. Though IoT networks are popular and widely employed in real world applications, security in IoT networks remains a challenging problem. Conventional intrusion detection systems (IDS) cannot be employed in IoT networks owing to the limitations in resources and complexity. Therefore, this paper concentrates on the design of intelligent metaheuristic optimization based feature selection with deep learning (IMFSDL) based classification model, called IMFSDL-IDS for IoT networks. The proposed IMFSDL-IDS… More >

  • Open Access

    ARTICLE

    A Novel Hybrid Deep Learning Framework for Intrusion Detection Systems in WSN-IoT Networks

    M. Maheswari1,2,*, R. A. Karthika1

    Intelligent Automation & Soft Computing, Vol.33, No.1, pp. 365-382, 2022, DOI:10.32604/iasc.2022.022259

    Abstract With the advent of wireless communication and digital technology, low power, Internet-enabled, and reconfigurable wireless devices have been developed, which revolutionized day-to-day human life and the economy across the globe. These devices are realized by leveraging the features of sensing, processing the data and nodes communications. The scale of Internet-enabled wireless devices has increased daily, and these devices are exposed to various cyber-attacks. Since the complexity and dynamics of the attacks on the devices are computationally high, intelligent, scalable and high-speed intrusion detection systems (IDS) are required. Moreover, the wireless devices are battery-driven; implementing them would consume more energy, weakening… More >

  • Open Access

    ARTICLE

    Security Attacks on the IoT Network with 5G Wireless Communication

    Ghada Sultan Aljumaie, Ghada Hisham Alzeer, Sultan S. Alshamrani*

    Journal on Internet of Things, Vol.3, No.3, pp. 119-130, 2021, DOI:10.32604/jiot.2021.015900

    Abstract The term Internet of Things has increased in popularity in recent years and has spread to be used in many applications around us, such as healthcare applications, smart homes and smart cities, IoT is a group of smart devices equipped with sensors that have the ability to calculate data, and carry out actions in the environment in which they are located, they are connected to each other through the Internet and recently it has become supported by 5G technology due to many advantages such as its ability to provide a fast connection, despite the efficiency of the IoT supported by… More >

  • Open Access

    ARTICLE

    HELP-WSN-A Novel Adaptive Multi-Tier Hybrid Intelligent Framework for QoS Aware WSN-IoT Networks

    J. Sampathkumar*, N. Malmurugan

    CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 2107-2123, 2022, DOI:10.32604/cmc.2022.019983

    Abstract Wireless Sensor Network is considered as the intermediate layer in the paradigm of Internet of things (IoT) and its effectiveness depends on the mode of deployment without sacrificing the performance and energy efficiency. WSN provides ubiquitous access to location, the status of different entities of the environment and data acquisition for long term IoT monitoring. Achieving the high performance of the WSN-IoT network remains to be a real challenge since the deployment of these networks in the large area consumes more power which in turn degrades the performance of the networks. So, developing the robust and QoS (quality of services)… More >

  • Open Access

    ARTICLE

    Performance Analysis of Multi-Channel CR Enabled IoT Network with Better Energy Harvesting

    Afiya Kiran1, Ahmad Karim2,*, Yasser Obaid Alharbi3, Diaa Mohammed Uliyan3

    CMC-Computers, Materials & Continua, Vol.71, No.1, pp. 183-197, 2022, DOI:10.32604/cmc.2022.021860

    Abstract Wireless Sensor Networks (WSNs) can be termed as an auto-configured and infrastructure-less wireless networks to monitor physical or environmental conditions, such as temperature, sound, vibration, pressure and motion etc. WSNs may comprise thousands of Internet of Things (IoT) devices to sense and collect data from its surrounding, process the data and take an automated and mechanized decision. On the other side the proliferation of these devices will soon cause radio spectrum shortage. So, to facilitate these networks, we integrate Cognitive Radio (CR) functionality in these networks. CR can sense the unutilized spectrum of licensed users and then use these empty… More >

  • Open Access

    ARTICLE

    SDN Based DDos Mitigating Approach Using Traffic Entropy for IoT Network

    Muhammad Ibrahim1, Muhammad Hanif2, Shabir Ahmad3, Faisal Jamil1, Tayyaba Sehar2, YunJung Lee4, DoHyeun Kim1,*

    CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 5651-5665, 2022, DOI:10.32604/cmc.2022.017772

    Abstract The Internet of Things (IoT) has been widely adopted in various domains including smart cities, healthcare, smart factories, etc. In the last few years, the fitness industry has been reshaped by the introduction of smart fitness solutions for individuals as well as fitness gyms. The IoT fitness devices collect trainee data that is being used for various decision-making. However, it will face numerous security and privacy issues towards its realization. This work focuses on IoT security, especially DoS/DDoS attacks. In this paper, we have proposed a novel blockchain-enabled protocol (BEP) that uses the notion of a self-exposing node (SEN) approach… More >

  • Open Access

    ARTICLE

    SIMAD: Secure Intelligent Method for IoT-Fog Environments Attacks Detection

    Wided Ben Daoud1, Sami Mahfoudhi2,*

    CMC-Computers, Materials & Continua, Vol.70, No.2, pp. 2727-2742, 2022, DOI:10.32604/cmc.2022.020141

    Abstract The Internet of Thing IoT paradigm has emerged in numerous domains and it has achieved an exponential progress. Nevertheless, alongside this advancement, IoT networks are facing an ever-increasing rate of security risks because of the continuous and rapid changes in network environments. In order to overcome these security challenges, the fog system has delivered a powerful environment that provides additional resources for a more improved data security. However, because of the emerging of various breaches, several attacks are ceaselessly emerging in IoT and Fog environment. Consequently, the new emerging applications in IoT-Fog environment still require novel, distributed, and intelligent security… More >

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