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  • Open Access


    RPL-Based IoT Networks under Decreased Rank Attack: Performance Analysis in Static and Mobile Environments

    Amal Hkiri1,*, Mouna Karmani1, Omar Ben Bahri2, Ahmed Mohammed Murayr2, Fawaz Hassan Alasmari2, Mohsen Machhout1

    CMC-Computers, Materials & Continua, Vol.78, No.1, pp. 227-247, 2024, DOI:10.32604/cmc.2023.047087

    Abstract The RPL (IPv6 Routing Protocol for Low-Power and Lossy Networks) protocol is essential for efficient communication within the Internet of Things (IoT) ecosystem. Despite its significance, RPL’s susceptibility to attacks remains a concern. This paper presents a comprehensive simulation-based analysis of the RPL protocol’s vulnerability to the decreased rank attack in both static and mobile network environments. We employ the Random Direction Mobility Model (RDM) for mobile scenarios within the Cooja simulator. Our systematic evaluation focuses on critical performance metrics, including Packet Delivery Ratio (PDR), Average End to End Delay (AE2ED), throughput, Expected Transmission Count (ETX), and Average Power Consumption… More >

  • Open Access


    A Performance Analysis of Machine Learning Techniques for Credit Card Fraud Detection

    Ayesha Aslam1, Adil Hussain2,*

    Journal on Artificial Intelligence, Vol.6, pp. 1-21, 2024, DOI:10.32604/jai.2024.047226

    Abstract With the increased accessibility of global trade information, transaction fraud has become a major worry in global banking and commerce security. The incidence and magnitude of transaction fraud are increasing daily, resulting in significant financial losses for both customers and financial professionals. With improvements in data mining and machine learning in computer science, the capacity to detect transaction fraud is becoming increasingly attainable. The primary goal of this research is to undertake a comparative examination of cutting-edge machine-learning algorithms developed to detect credit card fraud. The research looks at the efficacy of these machine learning algorithms using a publicly available… More >

  • Open Access


    A Comparative Performance Analysis of Machine Learning Models for Intrusion Detection Classification

    Adil Hussain1, Amna Khatoon2,*, Ayesha Aslam2, Tariq1, Muhammad Asif Khosa1

    Journal of Cyber Security, Vol.6, pp. 1-23, 2024, DOI:10.32604/jcs.2023.046915

    Abstract The importance of cybersecurity in contemporary society cannot be inflated, given the substantial impact of networks on various aspects of daily life. Traditional cybersecurity measures, such as anti-virus software and firewalls, safeguard networks against potential threats. In network security, using Intrusion Detection Systems (IDSs) is vital for effectively monitoring the various software and hardware components inside a given network. However, they may encounter difficulties when it comes to detecting solitary attacks. Machine Learning (ML) models are implemented in intrusion detection widely because of the high accuracy. The present work aims to assess the performance of machine learning algorithms in the… More >

  • Open Access


    Modelling and Performance Analysis of Visible Light Communication System in Industrial Implementations

    Mohammed S. M. Gismalla1,2, Asrul I. Azmi1,2, Mohd R. Salim1,2, Farabi Iqbal1,2, Mohammad F. L. Abdullah3, Mosab Hamdan4,5, Muzaffar Hamzah4,*, Abu Sahmah M. Supa’at1,2

    CMC-Computers, Materials & Continua, Vol.77, No.2, pp. 2189-2204, 2023, DOI:10.32604/cmc.2023.035250

    Abstract Visible light communication (VLC) has a paramount role in industrial implementations, especially for better energy efficiency, high speed-data rates, and low susceptibility to interference. However, since studies on VLC for industrial implementations are in scarcity, areas concerning illumination optimisation and communication performances demand further investigation. As such, this paper presents a new modelling of light fixture distribution for a warehouse model to provide acceptable illumination and communication performances. The proposed model was evaluated based on various semi-angles at half power (SAAHP) and different height levels for several parameters, including received power, signal to noise ratio (SNR), and bit error rate… More >

  • Open Access


    Performance Analysis of Intelligent Neural-Based Deep Learning System on Rank Images Classification

    Muhammad Hameed Siddiqi1,*, Asfandyar Khan2, Muhammad Bilal Khan2, Abdullah Khan2, Madallah Alruwaili1, Saad Alanazi1

    Computer Systems Science and Engineering, Vol.47, No.2, pp. 2219-2239, 2023, DOI:10.32604/csse.2023.040212

    Abstract The use of the internet is increasing all over the world on a daily basis in the last two decades. The increase in the internet causes many sexual crimes, such as sexual misuse, domestic violence, and child pornography. Various research has been done for pornographic image detection and classification. Most of the used models used machine learning techniques and deep learning models which show less accuracy, while the deep learning model ware used for classification and detection performed better as compared to machine learning. Therefore, this research evaluates the performance analysis of intelligent neural-based deep learning models which are based… More >

  • Open Access


    Performance Analysis of ACO-OFDM Visible Light Communication System Based on SCMA

    Xiukai Ruan1, Shahid Iqbal Awan2,*

    Journal on Internet of Things, Vol.4, No.4, pp. 215-225, 2022, DOI:10.32604/jiot.2022.038270

    Abstract A SCMA ACO-OFDM downlink visible light communication (VLC) system is proposed. Six users share four spectrum resources, four of which are 4 primary color LED lights. ACO-OFDM technology is used to convert the user’s sparse codebook mapped signal into a positive real value signal that can be carried on the light wave, which can realize high-speed parallel communication. Simulation verifies the feasibility of the system. At the same time, the channel model of visible light communication is constructed, and the signal-to-noise ratio(SNR) and channel gain of the visible light channel are systematically analyzed. Finally, the theoretical bit error rate formula… More >

  • Open Access



    Sushil Kumara , Robin Thakura, Amar Raj Singh Suria, Kamal Kashyapa, Arvind Singhya, Sunil Kumara, Anil Kumarb

    Frontiers in Heat and Mass Transfer, Vol.16, pp. 1-11, 2021, DOI:10.5098/hmt.16.4

    Abstract Solar thermal collector is a simple, economic, and environment friendly equipment which is used to utilize solar energy for various agriculture and industrial applications. The investigators mainly focus on the improvement of the thermal performance by providing various fins shapes underside of the absorber plate in the single pass and double pass solar thermal collector. This work discusses the influence of different shaped fins used by various researchers in improving the thermal performance of thermal collectors. Fin’s design, geometries used, and their influence on turbulence and thermal performance have also been discussed. As per the literature review and comparative study… More >

  • Open Access



    Rajen Kumar Nayaka,* , Ravi Shankar Prasada,† , Ujjwal Kumar Nayaka, Amit Kumar Guptab

    Frontiers in Heat and Mass Transfer, Vol.19, pp. 1-12, 2022, DOI:10.5098/hmt.19.22

    Abstract The present experimental work has been carried out for a solar air heater under cross flow condition having inline hole jet plate between bottom plate and absorber plate with longitudinal fins underside the absorber surface. The performance of this inline hole jet plate solar air heater is compared with the performance of jet plate solar air heaters without longitudinal fins under cross and non-cross flow conditions for similar geometrical and operational parameters. Results are presented for mass flow rates of air, 1 = 0.020 - 0.070 kg/sec, 2 = 0.018 - 0.041 kg/sec, flow Reynolds number, Reja2 = 2000 -… More >

  • Open Access



    Ummid I. Shaikha , Sonali Kaleb, Anirban Surc, Anindita Royc

    Frontiers in Heat and Mass Transfer, Vol.20, pp. 1-10, 2023, DOI:10.5098/hmt.20.28

    Abstract The requirement for sustainable development for buildings is to have environmentally friendly cooling and heating systems. The utilization of phase change materials (PCM) in the cooling system is a potential solution for minimizing active power requirements as well as for reducing the size of components of a vapor compression refrigeration VCR system. A prototype of an Air-PCM (T25™) heat exchanger was fabricated and tested in actual environmental conditions. Experimental trials using a salt hydrate as PCM have shown the maximum cooling effect of 2.05 kW when 75% of the PCM was solidified. Based on the results, it is found that… More >

  • Open Access


    Performance Analysis of Intelligent Reflecting Surface Assisted Wireless Communication System

    Weiqiang Tan1,*, Quanquan Zhou1, Weijie Tan2, Longcheng Yang3, Chunguo Li4

    CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.1, pp. 775-787, 2023, DOI:10.32604/cmes.2023.027427

    Abstract In this paper, we investigate the end-to-end performance of intelligent reflecting surface (IRS)-assisted wireless communication systems. We consider a system in which an IRS is deployed on a uniform planar array (UPA) configuration, including a large number of reflecting elements, where the transmitters and receivers are only equipped with a single antenna. Our objective is to analytically obtain the achievable ergodic rate, outage probability, and bit error rate (BER) of the system. Furthermore, to maximize the system’s signal-to-noise ratio (SNR), we design the phase shift of each reflecting element and derive the optimal reflection phase of the IRS based on… More > Graphic Abstract

    Performance Analysis of Intelligent Reflecting Surface Assisted Wireless Communication System

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