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  • Open Access

    ARTICLE

    Fuzzy Reputation Based Trust Mechanism for Mitigating Attacks in MANET

    S. Maheswari, R. Vijayabhasker*

    Intelligent Automation & Soft Computing, Vol.35, No.3, pp. 3677-3692, 2023, DOI:10.32604/iasc.2023.031422

    Abstract Mobile Ad-hoc Networks (MANET) usage across the globe is increasing by the day. Evaluating a node’s trust value has significant advantages since such network applications only run efficiently by involving trustable nodes. The trust values are estimated based on the reputation values of each node in the network by using different mechanisms. However, these mechanisms have various challenging issues which degrade the network performance. Hence, a novel Quality of Service (QoS) Trust Estimation with Black/Gray hole Attack Detection approach is proposed in this research work. Initially, the QoS-based trust estimation is proposed by using a Fuzzy logic scheme. The trust… More >

  • Open Access

    ARTICLE

    Design of QoS Aware Routing Protocol for IoT Assisted Clustered WSN

    Ashit Kumar Dutta1, S. Srinivasan2, Bobbili Prasada Rao3, B. Hemalatha4, Irina V. Pustokhina5, Denis A. Pustokhin6, Gyanendra Prasad Joshi7,*

    CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 3785-3801, 2022, DOI:10.32604/cmc.2022.023657

    Abstract In current days, the domain of Internet of Things (IoT) and Wireless Sensor Networks (WSN) are combined for enhancing the sensor related data transmission in the forthcoming networking applications. Clustering and routing techniques are treated as the effective methods highly used to attain reduced energy consumption and lengthen the lifetime of the WSN assisted IoT networks. In this view, this paper presents an Ensemble of Metaheuristic Optimization based QoS aware Clustering with Multihop Routing (EMO-QoSCMR) Protocol for IoT assisted WSN. The proposed EMO-QoSCMR protocol aims to achieve QoS parameters such as energy, throughput, delay, and lifetime. The proposed model involves… More >

  • Open Access

    ARTICLE

    ML-Fresh: Novel Routing Protocol in Opportunistic Networks Using Machine Learning

    Puneet Garg*, Ashutosh Dixit, Preeti Sethi

    Computer Systems Science and Engineering, Vol.40, No.2, pp. 703-717, 2022, DOI:10.32604/csse.2022.019557

    Abstract Opportunistic Networks (OppNets) is gaining popularity day-by-day due to their various applications in the real-life world. The two major reasons for its popularity are its suitability to be established without any requirement of additional infrastructure and the ability to tolerate long delays during data communication. Opportunistic Network is also considered as a descendant of Mobile Ad hoc Networks (Manets) and Wireless Sensor Networks (WSNs), therefore, it inherits most of the traits from both mentioned networking techniques. Apart from its popularity, Opportunistic Networks are also starting to face challenges nowadays to comply with the emerging issues of the large size of… More >

  • Open Access

    ARTICLE

    Prediction of Cloud Ranking in a Hyperconverged Cloud Ecosystem Using Machine Learning

    Nadia Tabassum1, Allah Ditta2, Tahir Alyas3, Sagheer Abbas4, Hani Alquhayz5, Natash Ali Mian6, Muhammad Adnan Khan7,*

    CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 3129-3141, 2021, DOI:10.32604/cmc.2021.014729

    Abstract Cloud computing is becoming popular technology due to its functional properties and variety of customer-oriented services over the Internet. The design of reliable and high-quality cloud applications requires a strong Quality of Service QoS parameter metric. In a hyperconverged cloud ecosystem environment, building high-reliability cloud applications is a challenging job. The selection of cloud services is based on the QoS parameters that play essential roles in optimizing and improving cloud rankings. The emergence of cloud computing is significantly reshaping the digital ecosystem, and the numerous services offered by cloud service providers are playing a vital role in this transformation. Hyperconverged… More >

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