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  • Open Access

    ARTICLE

    Collaborative Detection and Prevention of Sybil Attacks against RPL-Based Internet of Things

    Muhammad Ali Khan1, Rao Naveed Bin Rais2,*, Osman Khalid1

    CMC-Computers, Materials & Continua, Vol.77, No.1, pp. 827-843, 2023, DOI:10.32604/cmc.2023.040756

    Abstract The Internet of Things (IoT) comprises numerous resource-constrained devices that generate large volumes of data. The inherent vulnerabilities in IoT infrastructure, such as easily spoofed IP and MAC addresses, pose significant security challenges. Traditional routing protocols designed for wired or wireless networks may not be suitable for IoT networks due to their limitations. Therefore, the Routing Protocol for Low-Power and Lossy Networks (RPL) is widely used in IoT systems. However, the built-in security mechanism of RPL is inadequate in defending against sophisticated routing attacks, including Sybil attacks. To address these issues, this paper proposes a centralized and collaborative approach for… More >

  • Open Access

    ARTICLE

    Intelligent Service Search Model Using Emerging Technologies

    Farhan Amin, Gyu Sang Choi*

    CMC-Computers, Materials & Continua, Vol.77, No.1, pp. 1165-1181, 2023, DOI:10.32604/cmc.2023.040693

    Abstract In recent years, the Internet of Things (IoT) has played a vital role in providing various services to users in a smart city. However, searching for services, objects, data, and frameworks remains a concern. The technological advancements in Cyber-Physical Systems (CPSs) and the Social Internet of Things (SIoT) open a new era of research. Thus, we propose a Cyber-Physical-Social Systems (CPSs) for service search. Herein, service search and object discovery operation carries with the suitable selection of friends in the network. Our proposed model constructs a graph and performs social network analysis (SNA). We suggest degree centrality, clustering, and scale-free… More >

  • Open Access

    ARTICLE

    NPBMT: A Novel and Proficient Buffer Management Technique for Internet of Vehicle-Based DTNs

    Sikandar Khan1, Khalid Saeed1, Muhammad Faran Majeed2,*, Salman A. AlQahtani3, Khursheed Aurangzeb3, Muhammad Shahid Anwar4,*

    CMC-Computers, Materials & Continua, Vol.77, No.1, pp. 1303-1323, 2023, DOI:10.32604/cmc.2023.039697

    Abstract Delay Tolerant Networks (DTNs) have the major problem of message delay in the network due to a lack of end-to-end connectivity between the nodes, especially when the nodes are mobile. The nodes in DTNs have limited buffer storage for storing delayed messages. This instantaneous sharing of data creates a low buffer/shortage problem. Consequently, buffer congestion would occur and there would be no more space available in the buffer for the upcoming messages. To address this problem a buffer management policy is proposed named “A Novel and Proficient Buffer Management Technique (NPBMT) for the Internet of Vehicle-Based DTNs”. NPBMT combines appropriate-size… More >

  • Open Access

    ARTICLE

    Adaptive Momentum-Backpropagation Algorithm for Flood Prediction and Management in the Internet of Things

    Jayaraj Thankappan1, Delphin Raj Kesari Mary2, Dong Jin Yoon3, Soo-Hyun Park4,*

    CMC-Computers, Materials & Continua, Vol.77, No.1, pp. 1053-1079, 2023, DOI:10.32604/cmc.2023.038437

    Abstract Flooding is a hazardous natural calamity that causes significant damage to lives and infrastructure in the real world. Therefore, timely and accurate decision-making is essential for mitigating flood-related damages. The traditional flood prediction techniques often encounter challenges in accuracy, timeliness, complexity in handling dynamic flood patterns and leading to substandard flood management strategies. To address these challenges, there is a need for advanced machine learning models that can effectively analyze Internet of Things (IoT)-generated flood data and provide timely and accurate flood predictions. This paper proposes a novel approach-the Adaptive Momentum and Backpropagation (AM-BP) algorithm-for flood prediction and management in… More >

  • Open Access

    ARTICLE

    Binary Oriented Feature Selection for Valid Product Derivation in Software Product Line

    Muhammad Fezan Afzal1, Imran Khan1, Javed Rashid1,2,3, Mubbashar Saddique4,*, Heba G. Mohamed5

    CMC-Computers, Materials & Continua, Vol.76, No.3, pp. 3653-3670, 2023, DOI:10.32604/cmc.2023.041627

    Abstract Software Product Line (SPL) is a group of software-intensive systems that share common and variable resources for developing a particular system. The feature model is a tree-type structure used to manage SPL’s common and variable features with their different relations and problem of Crosstree Constraints (CTC). CTC problems exist in groups of common and variable features among the sub-tree of feature models more diverse in Internet of Things (IoT) devices because different Internet devices and protocols are communicated. Therefore, managing the CTC problem to achieve valid product configuration in IoT-based SPL is more complex, time-consuming, and hard. However, the CTC… More >

  • Open Access

    ARTICLE

    Malicious Traffic Compression and Classification Technique for Secure Internet of Things

    Yu-Rim Lee1, Na-Eun Park1, Seo-Yi Kim2, Il-Gu Lee1,2,*

    CMC-Computers, Materials & Continua, Vol.76, No.3, pp. 3465-3482, 2023, DOI:10.32604/cmc.2023.041196

    Abstract With the introduction of 5G technology, the application of Internet of Things (IoT) devices is expanding to various industrial fields. However, introducing a robust, lightweight, low-cost, and low-power security solution to the IoT environment is challenging. Therefore, this study proposes two methods using a data compression technique to detect malicious traffic efficiently and accurately for a secure IoT environment. The first method, compressed sensing and learning (CSL), compresses an event log in a bitmap format to quickly detect attacks. Then, the attack log is detected using a machine-learning classification model. The second method, precise re-learning after CSL (Ra-CSL), comprises a… More >

  • Open Access

    ARTICLE

    Reliability Analysis of Correlated Competitive and Dependent Components Considering Random Isolation Times

    Shuo Cai1, Tingyu Luo1, Fei Yu1,*, Pradip Kumar Sharma2, Weizheng Wang1, Lairong Yin3

    CMC-Computers, Materials & Continua, Vol.76, No.3, pp. 2763-2777, 2023, DOI:10.32604/cmc.2023.037825

    Abstract In the Internet of Things (IoT) system, relay communication is widely used to solve the problem of energy loss in long-distance transmission and improve transmission efficiency. In Body Sensor Network (BSN) systems, biosensors communicate with receiving devices through relay nodes to improve their limited energy efficiency. When the relay node fails, the biosensor can communicate directly with the receiving device by releasing more transmitting power. However, if the remaining battery power of the biosensor is insufficient to enable it to communicate directly with the receiving device, the biosensor will be isolated by the system. Therefore, a new combinatorial analysis method… More >

  • Open Access

    ARTICLE

    Le projet Sav-AQ : étude des freins et facteurs à l’utilisation d’un site internet dédié aux patientes atteintes de cancer du sein, l’exemple de la Nouvelle-Aquitaine

    Valérie Berger1,2,*, Hélène Hoarau1,2, Florence Saillour3,4

    Psycho-Oncologie, Vol.17, No.3, pp. 159-166, 2023, DOI:10.32604/po.2023.044727

    Abstract Le développement des plateformes numériques dans le domaine de la santé transforme les interactions soignants-soignés et la diffusion des savoirs. S’informer par le biais d’internet est devenu une habitude pour de nombreux patients et doit être pris en compte par les soignants. Ainsi, comprendre les usages des outils numériques par les patients est un enjeu de santé publique. L’étude Sav-AQ vise à comprendre les usages par des femmes atteintes d’un cancer du sein et le rôle des professionnels de santé. Il s’agit d’une étude mixte de faisabilité exploratoire, de type avant-après l’intégration dans le parcours de soins du portail «… More >

  • Open Access

    ARTICLE

    An Efficient and Provably Secure SM2 Key-Insulated Signature Scheme for Industrial Internet of Things

    Senshan Ouyang1,2, Xiang Liu2, Lei Liu2, Shangchao Wang2, Baichuan Shao3, Yang Zhao3,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.1, pp. 903-915, 2024, DOI:10.32604/cmes.2023.028895

    Abstract With the continuous expansion of the Industrial Internet of Things (IIoT), more and more organisations are placing large amounts of data in the cloud to reduce overheads. However, the channel between cloud servers and smart equipment is not trustworthy, so the issue of data authenticity needs to be addressed. The SM2 digital signature algorithm can provide an authentication mechanism for data to solve such problems. Unfortunately, it still suffers from the problem of key exposure. In order to address this concern, this study first introduces a key-insulated scheme, SM2-KI-SIGN, based on the SM2 algorithm. This scheme boasts strong key insulation… More >

  • Open Access

    ARTICLE

    A Novel IoT Architecture, Assessment of Threats and Their Classification with Machine Learning Solutions

    Oliva Debnath1, Saptarshi Debnath1, Sreyashi Karmakar2, MD Tausif Mallick3, Himadri Nath Saha4,*

    Journal on Internet of Things, Vol.5, pp. 13-43, 2023, DOI:10.32604/jiot.2023.039391

    Abstract The Internet of Things (IoT) will significantly impact our social and economic lives in the near future. Many Internet of Things (IoT) applications aim to automate multiple tasks so inactive physical objects can behave independently of others. IoT devices, however, are also vulnerable, mostly because they lack the essential built-in security to thwart attackers. It is essential to perform the necessary adjustments in the structure of the IoT systems in order to create an end-to-end secure IoT environment. As a result, the IoT designs that are now in use do not completely support all of the advancements that have been… More >

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