Active Learning for Wireless IoT Intrusion Detection

@article{Yang2018ActiveLF,
  title={Active Learning for Wireless IoT Intrusion Detection},
  author={Kai Yang and J. Ren and Yanqiao Zhu and W. Zhang},
  journal={IEEE Wireless Communications},
  year={2018},
  volume={25},
  pages={19-25}
}
  • Kai Yang, J. Ren, +1 author W. Zhang
  • Published 2018
  • Computer Science
  • IEEE Wireless Communications
  • The Internet of Things (IoT) is becoming truly ubiquitous in our everyday lives, but it also faces unique security challenges. Intrusion detection is critical for the security and safety of a wireless IoT network. This article discusses the human-in-theloop active learning approach for wireless intrusion detection. We first present the fundamental challenges against the design of a successful intrusion detection system for a wireless IoT network. We then briefly review the rudimentary concepts… CONTINUE READING
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