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Tides of Blockchain in IoT Cybersecurity.
Ahakonye, Love Allen Chijioke; Nwakanma, Cosmas Ifeanyi; Kim, Dong-Seong.
Afiliación
  • Ahakonye LAC; ICT-Convergence Research Center, Kumoh National Institute of Technology, Gumi 39177, Republic of Korea.
  • Nwakanma CI; ICT-Convergence Research Center, Kumoh National Institute of Technology, Gumi 39177, Republic of Korea.
  • Kim DS; IT Convergence Engineering, Kumoh National Institute of Technology, Gumi 39177, Republic of Korea.
Sensors (Basel) ; 24(10)2024 May 14.
Article en En | MEDLINE | ID: mdl-38793962
ABSTRACT
This paper surveys the implementation of blockchain technology in cybersecurity in Internet of Things (IoT) networks, presenting a comprehensive framework that integrates blockchain technology with intrusion detection systems (IDS) to enhance IDS performance. This paper reviews articles from various domains, including AI, blockchain, IDS, IoT, and Industrial IoT (IIoT), to identify emerging trends and challenges in this field. An analysis of various approaches incorporating AI and blockchain demonstrates the potentiality of integrating AI and blockchain to transform IDS. This paper's structure establishes the foundation for further investigation and provides a blueprint for the development of IDS that is accessible, scalable, transparent, immutable, and decentralized. A demonstration from case studies integrating AI and blockchain shows the viability of combining the duo to enhance performance. Despite the challenges posed by resource constraints and privacy concerns, it is notable that blockchain is the key to securing IoT networks and that continued innovation in this area is necessary. Further research into lightweight cryptography, efficient consensus mechanisms, and privacy-preserving techniques is needed to realize all of the potential of blockchain-powered cybersecurity in IoT.
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Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Sensors (Basel) Año: 2024 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Sensors (Basel) Año: 2024 Tipo del documento: Article