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We can see a lot of benefits in various sectors when we incorporate IoT in a system. Botnet assaults is one of the problems in a security system. With the help of these botnet assaults, the IoT networks are vulnerable to attacks. With these, attackers may conduct illegal activities in the network. Since, IoT systems have limited resource, standard security systems are incapable to solve such ever evolving problems. By using AI and ML methods we can enhance the detection of botnet assaults. This paper does a systematic study on various methods adopted for identifying botnet assaults thorough AI and ML.

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Advancements in AI-Based Botnet Detection Techniques for IoT Networks: A Comprehensive Survey

  • 会议论文

  • 发表日期：

    2026年

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  • Rintu Das,
  • Vaskar Deka,
  • Rima Devi,
  • Apurba Dey,
  • Mayuri Sharma,
  • Gom Taye

摘要

We can see a lot of benefits in various sectors when we incorporate IoT in a system. Botnet assaults is one of the problems in a security system. With the help of these botnet assaults, the IoT networks are vulnerable to attacks. With these, attackers may conduct illegal activities in the network. Since, IoT systems have limited resource, standard security systems are incapable to solve such ever evolving problems. By using AI and ML methods we can enhance the detection of botnet assaults. This paper does a systematic study on various methods adopted for identifying botnet assaults thorough AI and ML.