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  • Open Access

    ARTICLE

    Improved Lightweight Deep Learning Algorithm in 3D Reconstruction

    Tao Zhang1,*, Yi Cao2

    CMC-Computers, Materials & Continua, Vol.72, No.3, pp. 5315-5325, 2022, DOI:10.32604/cmc.2022.027083 - 21 April 2022

    Abstract The three-dimensional (3D) reconstruction technology based on structured light has been widely used in the field of industrial measurement due to its many advantages. Aiming at the problems of high mismatch rate and poor real-time performance caused by factors such as system jitter and noise, a lightweight stripe image feature extraction algorithm based on You Only Look Once v4 (YOLOv4) network is proposed. First, Mobilenetv3 is used as the backbone network to effectively extract features, and then the Mish activation function and Complete Intersection over Union (CIoU) loss function are used to calculate the improved More >

  • Open Access

    ARTICLE

    Two-Dimensional Projection-Based Wireless Intrusion Classification Using Lightweight EfficientNet

    Muhamad Erza Aminanto1,2,*, Ibnu Rifqi Purbomukti3, Harry Chandra2, Kwangjo Kim4

    CMC-Computers, Materials & Continua, Vol.72, No.3, pp. 5301-5314, 2022, DOI:10.32604/cmc.2022.026749 - 21 April 2022

    Abstract Internet of Things (IoT) networks leverage wireless communication protocols, which adversaries can exploit. Impersonation attacks, injection attacks, and flooding are several examples of different attacks existing in Wi-Fi networks. Intrusion Detection System (IDS) became one solution to distinguish those attacks from benign traffic. Deep learning techniques have been intensively utilized to classify the attacks. However, the main issue of utilizing deep learning models is projecting the data, notably tabular data, into an image. This study proposes a novel projection from wireless network attacks data into a grid-based image for feeding one of the Convolutional Neural… More >

  • Open Access

    ARTICLE

    Metaheuristic Lightweight Cryptography for Security Enhancement inInternet of Things

    Mahmoud Ragab1,2,3,*, Ehab Bahaudien Ashary4

    CMC-Computers, Materials & Continua, Vol.72, No.2, pp. 3009-3023, 2022, DOI:10.32604/cmc.2022.025763 - 29 March 2022

    Abstract The advancements made in Internet of Things (IoT) is projected to alter the functioning of healthcare industry in addition to increased penetration of different applications. However, data security and private are challenging tasks to accomplish in IoT and necessary measures to be taken to ensure secure operation. With this background, the current paper proposes a novel lightweight cryptography method for enhance the security in IoT. The proposed encryption algorithm is a blend of Cross Correlation Coefficient (CCC) and Black Widow Optimization (BWO) algorithm. In the presented encryption technique, CCC operation is utilized to optimize the… More >

  • Open Access

    ARTICLE

    Blockchain Enabled Optimal Lightweight Cryptography Based Image Encryption Technique for IIoT

    R. Bhaskaran1, R. Karuppathal1, M. Karthick2, J. Vijayalakshmi3, Seifedine Kadry4, Yunyoung Nam5,*

    Intelligent Automation & Soft Computing, Vol.33, No.3, pp. 1593-1606, 2022, DOI:10.32604/iasc.2022.024902 - 24 March 2022

    Abstract Industrial Internet of Things (IIoT) and Industry 4.0/5.0 offer several interconnections between machinery, equipment, processes, and personnel in diverse application areas namely logistics, supply chain, manufacturing, transportation, and healthcare. The conventional security-based solutions in IIoT environment get degraded due to the third parties. Therefore, the recent blockchain technology (BCT) can be employed to resolve trust issues and eliminate the need for third parties. Therefore, this paper presents a novel blockchain enabled secure optimal lightweight cryptography based image encryption (BC-LWCIE) technique for industry 4.0 environment. In addition, the BC-LWCIE technique involves the design of an optimal More >

  • Open Access

    ARTICLE

    Secured Cloud Communication Using Lightweight Hash Authentication with PUF

    R. Padmavathy*, M. Newlin Rajkumar

    Computer Systems Science and Engineering, Vol.43, No.1, pp. 233-243, 2022, DOI:10.32604/csse.2022.021129 - 23 March 2022

    Abstract Internet-of-Things (IoT) is an awaited technology in real-world applications to process daily tasks using intelligent techniques. The main process of data in IoT involves communication, integration, and coordination with other real-world applications. The security of transferred, stored, and processed data in IoT is not ensured in many constraints. Internet-enabled smart devices are widely used among populations for all types of applications, thus increasing the popularity of IoT among widely used server technologies. Smart grid is used in this article with IoT to manage large data. A smart grid is a collection of numerous users in… More >

  • Open Access

    ARTICLE

    A Lightweight CNN Based on Transfer Learning for COVID-19 Diagnosis

    Xiaorui Zhang1,2,3,*, Jie Zhou2, Wei Sun3,4, Sunil Kumar Jha5

    CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 1123-1137, 2022, DOI:10.32604/cmc.2022.024589 - 24 February 2022

    Abstract The key to preventing the COVID-19 is to diagnose patients quickly and accurately. Studies have shown that using Convolutional Neural Networks (CNN) to analyze chest Computed Tomography (CT) images is helpful for timely COVID-19 diagnosis. However, personal privacy issues, public chest CT data sets are relatively few, which has limited CNN's application to COVID-19 diagnosis. Also, many CNNs have complex structures and massive parameters. Even if equipped with the dedicated Graphics Processing Unit (GPU) for acceleration, it still takes a long time, which is not conductive to widespread application. To solve above problems, this paper… More >

  • Open Access

    ARTICLE

    Cryptographic Lightweight Encryption Algorithm with Dimensionality Reduction in Edge Computing

    D. Jerusha*, T. Jaya

    Computer Systems Science and Engineering, Vol.42, No.3, pp. 1121-1132, 2022, DOI:10.32604/csse.2022.022997 - 08 February 2022

    Abstract Edge Computing is one of the radically evolving systems through generations as it is able to effectively meet the data saving standards of consumers, providers and the workers. Requisition for Edge Computing based items have been increasing tremendously. Apart from the advantages it holds, there remain lots of objections and restrictions, which hinders it from accomplishing the need of consumers all around the world. Some of the limitations are constraints on computing and hardware, functions and accessibility, remote administration and connectivity. There is also a backlog in security due to its inability to create a… More >

  • Open Access

    ARTICLE

    A Lightweight and Robust User Authentication Protocol with User Anonymity for IoT-Based Healthcare

    Chien-Ming Chen1,*, Shuangshuang Liu1, Shehzad Ashraf Chaudhry2, Yeh-Cheng Chen3, Muhammad Asghar khan4

    CMES-Computer Modeling in Engineering & Sciences, Vol.131, No.1, pp. 307-329, 2022, DOI:10.32604/cmes.2022.018749 - 24 January 2022

    Abstract With the rise of the Internet of Things (IoT), the word “intelligent medical care” has increasingly become a major vision. Intelligent medicine adopts the most advanced IoT technology to realize the interaction between patients and people, medical institutions, and medical equipment. However, with the openness of network transmission, the security and privacy of information transmission have become a major problem. Recently, Masud et al. proposed a lightweight anonymous user authentication protocol for IoT medical treatment, claiming that their method can resist various attacks. However, through analysis of the protocol, we observed that their protocol cannot More >

  • Open Access

    ARTICLE

    LCF: A Deep Learning-Based Lightweight CSI Feedback Scheme for MIMO Networks

    Kyu-haeng Lee*

    CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 5561-5580, 2022, DOI:10.32604/cmc.2022.024562 - 14 January 2022

    Abstract Recently, as deep learning technologies have received much attention for their great potential in extracting the principal components of data, there have been many efforts to apply them to the Channel State Information (CSI) feedback overhead problem, which can significantly limit Multi-Input Multi-Output (MIMO) beamforming gains. Unfortunately, since most compression models can quickly become outdated due to channel variation, timely model updates are essential for reflecting the current channel conditions, resulting in frequent additional transmissions for model sharing between transceivers. In particular, the heavy network models employed by most previous studies to achieve high compression… More >

  • Open Access

    ARTICLE

    Lightweight Direct Acyclic Graph Blockchain for Enhancing Resource-Constrained IoT Environment

    Salaheddine Kably1,2,*, Mounir Arioua1, Nabih Alaoui2

    CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 5271-5291, 2022, DOI:10.32604/cmc.2022.020833 - 14 January 2022

    Abstract Blockchain technology is regarded as the emergent security solution for many applications related to the Internet of Things (IoT). In concept, blockchain has a linear structure that grows with the number of transactions entered. This growth in size is the main obstacle to the blockchain, which makes it unsuitable for resource-constrained IoT environments. Moreover, conventional consensus algorithms such as PoW, PoS are very computationally heavy. This paper solves these problems by introducing a new lightweight blockchain structure and lightweight consensus algorithm. The Multi-Zone Direct Acyclic Graph (DAG) Blockchain (Multizone-DAG-Blockchain) framework is proposed for the fog-based IoT… More >

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