International Journal of Computer Science & Network Security

국제컴퓨터통신보호논문지학회 (International Journal of Computer Science & Network Security)
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Q-Learning Based Method to Secure Mobile Agents and Choose the Safest Path in a IoT Environment

  • Badr Eddine Sabir (Laboratory of Watch for Emergent Technologies FST, Hassan I University of Settat) ;
  • Mohamed Youssfi (Laboratory SSDIA, ENSET Mohammedia, Hassan II University of Casablanca) ;
  • Omar Bouattane (Laboratory of Watch for Emergent Technologies FST, Hassan I University of Settat) ;
  • Hakim Allali (Laboratory SSDIA, ENSET Mohammedia, Hassan II University of Casablanca)
  • 투고 : 2024.10.05
  • 발행 : 2024.10.30
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초록

The Internet of Things (IoT) is an emerging element that is becoming increasingly indispensable to the Internet and shaping our current understanding of the future of the Internet. IoT continues to extend deeper into the daily lives of people, offering distributed and critical services. In contrast with current Internet, IoT depends on a dynamic architecture where physical objects with embedded sensors will communicate via cloud to send and analyze data [1-3]. Its security troubles will surely impinge all aspects of civilization. Mobile agents are widely used in the context of the IoT and due to the possibility of transmitting their execution status from one device to another in an IoT network, they offer many advantages such as reducing network load, encapsulating protocols, exceeding network latency, etc. Also, cryptographic technologies, like PKI and Blockchain technology, and Artificial Intelligence are growing rapidly allowing the addition of an approved security layer in many areas. Security issues related to mobile agent migration can be resolved with the use of these technologies, thus allowing increased reliability and credibility and ensure information collecting, sharing, and processing in IoT environments, while ensuring maximum autonomy by relying on the AI to allow the agent to choose the most secure and optimal path between the nodes of an IoT environment. This paper aims to present a new model to secure mobile agents in the context of the Internet of Things based on Public Key Infrastructure (PKI), Ethereum Blockchain Technology and Q-learning. The proposed model provides a secure migration of mobile agents to ensure security and protect the IoT application against malevolent nodes that could infiltrate these IoT systems.

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참고문헌

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