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    Enhancing security of Internet of Robotic Things: A review of recent trends, practices, and recommendations with encryption and blockchain techniques

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    1-s2.0-S2542660524002981-main.pdf (2.932Mb)
    Date
    2024-12-01
    Author
    Zafir, Ehsanul Islam
    Akter, Afifa
    Islam, M. N.
    Hasib, Shahid A.
    Islam, Touhid
    Sarker, Subrata K.
    Muyeen, S. M.
    ...show more authors ...show less authors
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    Abstract
    The Internet of Robotic Things (IoRT) integrates robots and autonomous devices, transforming industries such as manufacturing, healthcare, and transportation. However, security vulnerabilities in IoRT systems pose significant challenges to data privacy and system integrity. To address these issues, encryption is essential for protecting sensitive data transmitted between devices. By converting data into ciphertext, encryption ensures confidentiality and integrity, reducing the risk of unauthorized access and data breaches. Blockchain technology also enhances IoRT security by offering decentralized, tamper-proof data storage solutions. By offering comprehensive insights, practical recommendations, and future directions, this paper aims to contribute to the advancement of knowledge and practice in securing interconnected robotic systems, thereby ensuring the integrity and confidentiality of data exchanged within IoRT ecosystems. Through a thorough examination of encryption requisites, scopes, and current implementations in IoRT, this paper provides valuable insights for researchers, engineers, and policymakers involved in IoRT security efforts. By integrating encryption and blockchain technologies into IoRT systems, stakeholders can foster a secure and dependable environment, effectively manage risks, bolster user confidence, and expedite the widespread adoption of IoRT across diverse sectors. The findings of this study underscore the critical role of encryption and blockchain technology in IoRT security enhancement and highlight potential avenues for further exploration and innovation. Furthermore, this paper suggests future research areas, such as threat intelligence and analytics, security by design, multi-factor authentication, and AI for threat detection. These recommendations support ongoing innovation in securing the evolving IoRT landscape.
    URI
    https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85203141518&origin=inward
    DOI/handle
    http://dx.doi.org/10.1016/j.iot.2024.101357
    http://hdl.handle.net/10576/61932
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    • Electrical Engineering [‎2821‎ items ]

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