By Topic

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

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Bo-Chao Chang ; Dept. of Comput. Sci. & Inf. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan ; Wen-Shyong Hsieh ; Yu-Cheng Lin ; Mong-Fong Horng

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.

Published in:

Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on

Date of Conference:

11-14 Oct. 2009