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AI-Empowered Blockchain Techniques Against Cybersecurity Context in IoT: A Survey

  • Anandakumar Haldorai,
  • Babitha Lincy R,
  • Suriya Murugan,
  • Minu Balakrishnan

摘要

The Internet of Things (IoT) is a vast network made up of connected-internet items that use software’s installed to exchange data. Numerous Internet of Things (IoT) solutions have been created over the past 20 years by small, medium-sized, and major businesses to improve our quality of life. The need for more robust cybersecurity safeguards is becoming more critical as technology develops. Despite the fact that they are both different in nature and have the capacity to provide a variety of threat detection techniques, artificial intelligence and blockchain can work together or even stand alone to significantly improve cybersecurity. The latest attack vectors must be thwarted in this era of digitization, making cybersecurity crucial. Small enterprises, major corporations, and even individuals are all targets of cyberattacks. Cybercriminals are always developing new exploits to take advantage of vulnerabilities as the threat landscape evolves. Artificial Intelligence can be used to analyze enormous volumes of information or data to spot patterns and abnormalities that can be used to detect and thwart cyberattacks. Additionally, it can automate repetitive processes, freeing up human specialists to concentrate on trickier security problems. In this article, it examines how blockchain technology and artificial intelligence (AI) are transforming the internet of things (IoT) from cybersecurity. Some challenges and unresolved issues are mentioned in order to guide future research and stimulate more investigation of this subject that is becoming more and more relevant. This study elaborates on important future prospects that could be investigated by scholars to push this discipline even further.