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ISSN 1004-9037
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Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
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      05 May 2023, Volume 38 Issue 3
    Article

    ANALYSIS AND DEVELOPMENT OF SECURITY FRAMEWORK FOR IOT DEVICE
    Abhinandan Singh Dandotiya1, Dr. Shashikant Gupta2
    Journal of Data Acquisition and Processing, 2023, 38 (3): 7272-7287 . 

    Abstract

    Internet of Things (IoT) devices are growing rapidly, making security and privacy crucial. This study analyses and develops an IoT-specific security framework. To address the specific security problems of IoT devices and provide effective techniques and measures to safeguard sensitive data, minimize vulnerabilities, and assure IoT system integrity. The analysis phase identifies and evaluates IoT ecosystem security issues such poor authentication, data encryption, susceptible firmware and software, and lack of standardization. The framework examines these difficulties to understand the security landscape and build effective countermeasures. The analysis informs the development phase, which includes device authentication and access control, data encryption and privacy protection, secure firmware and software upgrades, and standardization and compliance. These steps increase IoT device security by guaranteeing secure communication, data integrity, and protection against unauthorized access and assaults. This Paper Proposed security framework, to assure the security framework's originality and efficacy, it is developed methodically. IoT security literature, best practices, and upcoming technologies are researched extensively. The suggested security architecture is projected to improve IoT device trustworthiness and reliability, promoting their wider usage across domains and generating lightweight cryptography techniques. This analysis-driven and comprehensive methodology addresses security issues to help build secure and resilient IoT ecosystems.

    Keyword

    Internet of Things (IoT), security framework, analysis, development, authentication, data encryption,


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ISSN 1004-9037

         

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