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Security has become a significant challenge, especially among the Internet of Things (IoT) that expanded rapidly in addition to generated vast amounts of data. Various connected devices, communication protocols, operating systems and hardware configurations increase the risk of cyber threats, which can compromise data confidentiality, integrity, and availability. Additionally, it makes attack detection more challenging, as cloud computing has to deal with the high latency of IoT applications which can make real-time processing difficult. Edge computing is the solution that solves these problems by processing data at local nodes and improving quality of service (QoS). As a result, real-time protection by integrating artificial intelligence (AI) and BlockChain technologies is essential to strengthening security because AI enhances attack detection through learning from data patterns. At the same time, BlockChain secures data exchanges and ensures integrity in a decentralized manner. In this context, we propose a distributed approach forsecuring IoT using BlockChain and Catboost in Edge computing; we explore how AI and BlockChain can secure IoT services in distributed Edge Computing.

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A Distributed Approach Based on Catboost, BlockChain and Edge Computing for IoT Security

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  • 发表日期：

    2026年

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  • Maryam Douiba,
  • Chaimae Hazman,
  • Azidine Guezzaz,
  • Said Benkirane,
  • Mourade Azrour,
  • B. J. Bipin Nair

摘要

Security has become a significant challenge, especially among the Internet of Things (IoT) that expanded rapidly in addition to generated vast amounts of data. Various connected devices, communication protocols, operating systems and hardware configurations increase the risk of cyber threats, which can compromise data confidentiality, integrity, and availability. Additionally, it makes attack detection more challenging, as cloud computing has to deal with the high latency of IoT applications which can make real-time processing difficult. Edge computing is the solution that solves these problems by processing data at local nodes and improving quality of service (QoS). As a result, real-time protection by integrating artificial intelligence (AI) and BlockChain technologies is essential to strengthening security because AI enhances attack detection through learning from data patterns. At the same time, BlockChain secures data exchanges and ensures integrity in a decentralized manner. In this context, we propose a distributed approach forsecuring IoT using BlockChain and Catboost in Edge computing; we explore how AI and BlockChain can secure IoT services in distributed Edge Computing.