Smart Home Intrusion Detection Algorithm Based on Spatial-Temporal Field Information Fusion

doi:10.13190/j.jbupt.2017.03.011

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2017, Vol. 40 ›› Issue (3): 76-84.doi: 10.13190/j.jbupt.2017.03.011

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Smart Home Intrusion Detection Algorithm Based on Spatial-Temporal Field Information Fusion

LI Min-zheng^1,2,3, LAN Jian-ping¹

1. School of Computer and Information Security, Guilin University of Electronic Technology, Guilin 541004, China;
2. Guangxi Information Science Research Centre, Guilin 541004, China;
3. Guangxi Key Laboratory of Trusted Software, Guilin 541004, China

Received:2017-02-12 Online:2017-06-28 Published:2017-05-25

Abstract

Abstract: The existing smart home intrusion detection algorithm has the defects of slow convergence speed and weak anti-interference ability which can weaken the real-time and robustness of decision-making system. By analyzing the characteristics of time domain data and spatial domain evidence, it is concluded that the temporal fusion is focused more on conflict data but more attention is paid to remove conflict data fusion in the spatial domain. Therefore, an adaptive weighted algorithm for temporal fusion and three evidence fusion intrusion detection solution based on modified evidence were proposed. Further analysis is done by applying the algorithm in intelligent house intrusion detection system. Simulations verify that the fusion result of new proposed algorithms not only accelerate the convergence rate and enhance anti-jamming capability comparing with existing algorithms, but also improve the real-time and robustness of intrusion detection system decision-making.

Key words: spatial-temporal field, information fusion, evidence theory, intrusion detection

CLC Number:

TP391

LI Min-zheng, LAN Jian-ping. Smart Home Intrusion Detection Algorithm Based on Spatial-Temporal Field Information Fusion[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2017, 40(3): 76-84.

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Smart Home Intrusion Detection Algorithm Based on Spatial-Temporal Field Information Fusion

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