An Adaptive Passive Radio Map Construction for Indoor WLAN Intrusion Detection

  • Yixin LinEmail author
  • Wei Nie
  • Mu Zhou
  • Yong Wang
  • Zengshan Tian
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 516)


Indoor WLAN intrusion detection technique for the anonymous target has been widely applied in many fields such as the smart home management, security monitoring, counterterrorism, and disaster relief. However, the existing indoor WLAN intrusion detection systems usually require constructing a passive radio map involving a lot of manpower and time cost, which is a significant barrier of the deployment of WLAN intrusion detection systems. In this paper, we propose to use the adaptive-depth ray tree model to automatically construct an adaptive passive radio map for indoor WLAN intrusion detection. In concrete terms, the quasi-3D ray-tracing model is enhanced by using the genetic algorithm to predict the received signal strength (RSS) propagation feature under the indoor silence and intrusion scenarios, which improves the computational efficiency while preserving the accuracy of passive radio map. Then, the RSS mean, variance, maximum, minimum, range, and median are allied to increase the robustness of passive radio map. Finally, we conduct empirical evaluations on the real-world data to validate the high intrusion detection rate and low database construction cost of the proposed method.


Indoor intrusion detection Adaptive ray-tracing Passive radio map Genetic algorithm WLAN 



This work is supported in part by the Fundamental Science and Frontier Technology Research Project of Chongqing (cstc2017jcyjAX0380).


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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Yixin Lin
    • 1
    Email author
  • Wei Nie
    • 1
  • Mu Zhou
    • 1
  • Yong Wang
    • 1
  • Zengshan Tian
    • 1
  1. 1.Chongqing Key Lab of Mobile Communications TechnologyChongqing University of Posts and TelecommunicationsChongqingChina

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