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  • Open Access

    ARTICLE

    Logistic Regression with Elliptical Curve Cryptography to Establish Secure IoT

    J. R. Arunkumar1,*, S. Velmurugan2, Balarengadurai Chinnaiah3, G. Charulatha4, M. Ramkumar Prabhu4, A. Prabhu Chakkaravarthy5

    Computer Systems Science and Engineering, Vol.45, No.3, pp. 2635-2645, 2023, DOI:10.32604/csse.2023.031605 - 21 December 2022

    Abstract Nowadays, Wireless Sensor Network (WSN) is a modern technology with a wide range of applications and greatly attractive benefits, for example, self-governing, low expenditure on execution and data communication, long-term function, and unsupervised access to the network. The Internet of Things (IoT) is an attractive, exciting paradigm. By applying communication technologies in sensors and supervising features, WSNs have initiated communication between the IoT devices. Though IoT offers access to the highest amount of information collected through WSNs, it leads to privacy management problems. Hence, this paper provides a Logistic Regression machine learning with the Elliptical More >

  • Open Access

    ARTICLE

    A Collaborative Approach for Secured Routing in Mobile Ad-Hoc Network

    W. Gracy Theresa1,*, A. Gayathri2, P. Rama3

    Intelligent Automation & Soft Computing, Vol.35, No.2, pp. 1337-1351, 2023, DOI:10.32604/iasc.2023.028425 - 19 July 2022

    Abstract Mobile computing is the most powerful application for network communication and connectivity, given recent breakthroughs in the field of wireless networks or Mobile Ad-hoc networks (MANETs). There are several obstacles that effective networks confront and the networks must be able to transport data from one system to another with adequate precision. For most applications, a framework must ensure that the retrieved data reflects the transmitted data. Before driving to other nodes, if the frame between the two nodes is deformed in the data-link layer, it must be repaired. Most link-layer protocols immediately disregard the frame… More >

  • Open Access

    ARTICLE

    Data Mining with Privacy Protection Using Precise Elliptical Curve Cryptography

    B. Murugeshwari1,*, D. Selvaraj2, K. Sudharson3, S. Radhika4

    Intelligent Automation & Soft Computing, Vol.35, No.1, pp. 839-851, 2023, DOI:10.32604/iasc.2023.028548 - 06 June 2022

    Abstract Protecting the privacy of data in the multi-cloud is a crucial task. Data mining is a technique that protects the privacy of individual data while mining those data. The most significant task entails obtaining data from numerous remote databases. Mining algorithms can obtain sensitive information once the data is in the data warehouse. Many traditional algorithms/techniques promise to provide safe data transfer, storing, and retrieving over the cloud platform. These strategies are primarily concerned with protecting the privacy of user data. This study aims to present data mining with privacy protection (DMPP) using precise elliptic More >

  • Open Access

    ARTICLE

    Multi-Factor Authentication for Secured Financial Transactions in Cloud Environment

    D. Prabakaran1,*, Shyamala Ramachandran2

    CMC-Computers, Materials & Continua, Vol.70, No.1, pp. 1781-1798, 2022, DOI:10.32604/cmc.2022.019591 - 07 September 2021

    Abstract The rise of the digital economy and the comfort of accessing by way of user mobile devices expedite human endeavors in financial transactions over the Virtual Private Network (VPN) backbone. This prominent application of VPN evades the hurdles involved in physical money exchange. The VPN acts as a gateway for the authorized user in accessing the banking server to provide mutual authentication between the user and the server. The security in the cloud authentication server remains vulnerable to the results of threat in JP Morgan Data breach in 2014, Capital One Data Breach in 2019,… More >

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