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  • Open Access

    ARTICLE

    Hybrid Trust Based Reputation Mechanism for Discovering Malevolent Node in MANET

    S. Neelavathy Pari1,*, K. Sudharson2

    Computer Systems Science and Engineering, Vol.44, No.3, pp. 2775-2789, 2023, DOI:10.32604/csse.2023.029345

    Abstract A self-contained connection of wireless links that functions without any infrastructure is known as Mobile Ad Hoc Network (MANET). A MANET’s nodes could engage actively and dynamically with one another. However, MANETs, from the other side, are exposed to severe potential threats that are difficult to counter with present security methods. As a result, several safe communication protocols designed to enhance the secure interaction among MANET nodes. In this research, we offer a reputed optimal routing value among network nodes, secure computations, and misbehavior detection predicated on node’s trust levels with a Hybrid Trust based Reputation Mechanism (HTRM). In addition,… More >

  • Open Access

    ARTICLE

    An Optimized Novel Trust-Based Security Mechanism Using Elephant Herd Optimization

    Saranya Veerapaulraj1,*, M. Karthikeyan1, S. Sasipriya2, A. S. Shanthi1

    Computer Systems Science and Engineering, Vol.44, No.3, pp. 2489-2500, 2023, DOI:10.32604/csse.2023.026463

    Abstract Routing strategies and security issues are the greatest challenges in Wireless Sensor Network (WSN). Cluster-based routing Low Energy adaptive Clustering Hierarchy (LEACH) decreases power consumption and increases network lifetime considerably. Securing WSN is a challenging issue faced by researchers. Trust systems are very helpful in detecting interfering nodes in WSN. Researchers have successfully applied Nature-inspired Metaheuristics Optimization Algorithms as a decision-making factor to derive an improved and effective solution for a real-time optimization problem. The metaheuristic Elephant Herding Optimizations (EHO) algorithm is formulated based on elephant herding in their clans. EHO considers two herding behaviors to solve and enhance optimization… More >

  • Open Access

    ARTICLE

    TrustControl: Trusted Private Data Usage Control Based on Security Enhanced TrustZone

    Hong Lei1,2,3, Jun Li1,*, Suozai Li4, Ming Huang4, Jieren Cheng5, Yirui Bai1, Xinman Luo1, Chao Liu6

    CMC-Computers, Materials & Continua, Vol.73, No.3, pp. 5687-5702, 2022, DOI:10.32604/cmc.2022.030995

    Abstract The past decade has seen the rapid development of data in many areas. Data has enormous commercial potential as a new strategic resource that may efficiently boost technical growth and service innovation. However, individuals are becoming increasingly concerned about data misuse and leaks. To address these issues, in this paper, we propose TrustControl, a trusted data usage control system to control, process, and protect data usage without revealing privacy. A trusted execution environment (TEE) is exploited to process confidential user data. First of all, we design a secure and reliable remote attestation mechanism for ARM TrustZone, which can verify the… More >

  • Open Access

    ARTICLE

    Trustworthy Explainable Recommendation Framework for Relevancy

    Saba Sana*, Mohammad Shoaib

    CMC-Computers, Materials & Continua, Vol.73, No.3, pp. 5887-5909, 2022, DOI:10.32604/cmc.2022.028046

    Abstract Explainable recommendation systems deal with the problem of ‘Why’. Besides providing the user with the recommendation, it is also explained why such an object is being recommended. It helps to improve trustworthiness, effectiveness, efficiency, persuasiveness, and user satisfaction towards the system. To recommend the relevant information with an explanation to the user is required. Existing systems provide the top-k recommendation options to the user based on ratings and reviews about the required object but unable to explain the matched-attribute-based recommendation to the user. A framework is proposed to fetch the most specific information that matches the user requirements based on… More >

  • Open Access

    ARTICLE

    An Enhanced Trust-Based Secure Route Protocol for Malicious Node Detection

    S. Neelavathy Pari1,*, K. Sudharson2

    Intelligent Automation & Soft Computing, Vol.35, No.2, pp. 2541-2554, 2023, DOI:10.32604/iasc.2023.030284

    Abstract The protection of ad-hoc networks is becoming a severe concern because of the absence of a central authority. The intensity of the harm largely depends on the attacker’s intentions during hostile assaults. As a result, the loss of Information, power, or capacity may occur. The authors propose an Enhanced Trust-Based Secure Route Protocol (ETBSRP) using features extraction. First, the primary and secondary trust characteristics are retrieved and achieved routing using a calculation. The complete trust characteristic obtains by integrating all logical and physical trust from every node. To assure intermediate node trustworthiness, we designed an ETBSRP, and it calculates and… More >

  • Open Access

    ARTICLE

    Trustworthiness Evaluation for Permissioned Blockchain-Enabled Applications

    Shi-Cho Cha1, Chuang-Ming Shiung1, Wen-Wei Li1, Chun-Neng Peng1, Yi-Hsuan Hung1, Kuo-Hui Yeh2,3,*

    CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 2731-2755, 2022, DOI:10.32604/cmc.2022.029161

    Abstract As permissioned blockchain becomes a common foundation of blockchain-based circumstances for current organizations, related stakeholders need a means to assess the trustworthiness of the applications involved within. It is extremely important to consider the potential impact brought by the Blockchain technology in terms of security and privacy. Therefore, this study proposes a rigorous security risk management framework for permissioned blockchain-enabled applications. The framework divides itself into different implementation domains, i.e., organization security, application security, consensus mechanism security, node management and network security, host security and perimeter security, and simultaneously provides guidelines to control the security risks of permissioned blockchain applications… More >

  • Open Access

    ARTICLE

    TMTACS: Two-Tier Multi-Trust-Based Algorithm to Countermeasure the Sybil Attacks

    Meena Bharti1,*, Shaveta Rani2, Paramjeet Singh2

    CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 3497-3512, 2022, DOI:10.32604/cmc.2022.029072

    Abstract Mobile Ad hoc Networks (MANETs) have always been vulnerable to Sybil attacks in which users create fake nodes to trick the system into thinking they’re authentic. These fake nodes need to be detected and deactivated for security reasons, to avoid harming the data collected by various applications. The MANET is an emerging field that promotes trust management among devices. Transparency is becoming more essential in the communication process, which is why clear and honest communication strategies are needed. Trust Management allows for MANET devices with different security protocols to connect. If a device finds difficulty in sending a message to… More >

  • Open Access

    ARTICLE

    Root-Of-Trust for Continuous Integration and Continuous Deployment Pipeline in Cloud Computing

    Abdul Saboor1,*, Mohd Fadzil Hassan2, Rehan Akbar1, Erwin Susanto3, Syed Nasir Mehmood Shah4, Muhammad Aadil Siddiqui5, Saeed Ahmed Magsi5

    CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 2223-2239, 2022, DOI:10.32604/cmc.2022.028382

    Abstract Cloud computing has gained significant use over the last decade due to its several benefits, including cost savings associated with setup, deployments, delivery, physical resource sharing across virtual machines, and availability of on-demand cloud services. However, in addition to usual threats in almost every computing environment, cloud computing has also introduced a set of new threats as consumers share physical resources due to the physical co-location paradigm. Furthermore, since there are a growing number of attacks directed at cloud environments (including dictionary attacks, replay code attacks, denial of service attacks, rootkit attacks, code injection attacks, etc.), customers require additional assurances… More >

  • Open Access

    ARTICLE

    Deep Learning Enabled Social Media Recommendation Based on User Comments

    K. Saraswathi1,*, V. Mohanraj2, Y. Suresh2, J. Senthilkumar2

    Computer Systems Science and Engineering, Vol.44, No.2, pp. 1691-1702, 2023, DOI:10.32604/csse.2023.027987

    Abstract Nowadays, review systems have been developed with social media Recommendation systems (RS). Although research on RS social media is increasing year by year, the comprehensive literature review and classification of this RS research is limited and needs to be improved. The previous method did not find any user reviews within a time, so it gets poor accuracy and doesn’t filter the irrelevant comments efficiently. The Recursive Neural Network-based Trust Recommender System (RNN-TRS) is proposed to overcome this method’s problem. So it is efficient to analyse the trust comment and remove the irrelevant sentence appropriately. The first step is to collect… More >

  • Open Access

    ARTICLE

    Logistic Regression Trust–A Trust Model for Internet-of-Things Using Regression Analysis

    Feslin Anish Mon Solomon1,*, Godfrey Winster Sathianesan2, R. Ramesh3

    Computer Systems Science and Engineering, Vol.44, No.2, pp. 1125-1142, 2023, DOI:10.32604/csse.2023.024292

    Abstract Internet of Things (IoT) is a popular social network in which devices are virtually connected for communicating and sharing information. This is applied greatly in business enterprises and government sectors for delivering the services to their customers, clients and citizens. But, the interaction is successful only based on the trust that each device has on another. Thus trust is very much essential for a social network. As Internet of Things have access over sensitive information, it urges to many threats that lead data management to risk. This issue is addressed by trust management that help to take decision about trustworthiness… More >

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