An intelligent detection approach to multi-intrusions based on hybrid-model searching algorithm

  • Authors:

  • Bo-Chao Chang;Wen-Shyong Hsieh;Yu-Cheng Lin;Mong-Fong Horng

  • Affiliations:

  • Dept. of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan;Dept. of Computer Science and Information Engineering, Shu -Te university, Kaohsiung, Taiwan;Dept. of Computer Science and Information Engineering, Shu -Te university, Kaohsiung, Taiwan;Dept. of Electronic Engineering, National University of Applied Sciences, Kaohsiung, Taiwan

  • Venue:
  • SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
  • Year:
  • 2009

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Abstract

In this paper, an intelligent detection system for multiple intrusions for smart home is presented. In the developed system, home users equipped with PDAs may locally and remotely receive the alert of home intrusion with captured subject image. There are three key components developed in this system. One is the intrusion image processing (IIP) to recognize the intrusion and extract the intrusion subjects. The second is a hybrid-model searching algorithm to improve the accuracy and computation cost in searching intruding subjects. The third is the Universal-Plug-and-Play (UPnP-based) instant messaging (UIM). Through the integrating of the three software component, intelligent intrusion detection is capable of offering a smart home security system. The implementation results show that the presented system at most identify three intruding subjects with at least 80% accuracy better than the previous works.. The presented system demonstrates a smart and automatic solution in comparison with legacy approaches.