Technology of Network & Communication
|
App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 10
3135-3138

Research on user trajectory outlier detection for IoT mobile terminal devices

Li Jian
Fu Xiong
Wang Junchang
School of Computer, Nanjing University of Posts & Telecommunications, Nanjing 210003, China
DOI: 10.19734/j.issn.1001-3695.2019.05.0227

Abstract

In order to effectively mine the trajectory anomaly of the user in the daily behavior of the digital information of the IoT mobile device, this paper proposed a double-layer clustering user trajectory anomaly detection method for the problem that the existing user abnormal trajectory detection algorithm is inefficient. Considering the large amount of trajectory information in the mobile terminal device and the uneven distribution, the method extracted the set of stay points at a specific spatial distance and time interval, hierarchically clustered the points, divided the stay according to the result, and then found the abnormal stay area. Finally, it found the second clustering of the motion track segments occurring between the stay areas and the abnormal track segment. Experimental results show that the proposed method at the time of abnormal trajectory, compared to traditional algorithms, both fully detects abnormal trajectory, but also accelerates the speed of anomaly detection.

Foundation Support

国家自然科学基金资助项目(61202354)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.05.0227
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 10
Section: Technology of Network & Communication
Pages: 3135-3138
Serial Number: 1001-3695(2020)10-052-3135-04

Publish History

[2020-10-05] Printed Article

Cite This Article

李健, 付雄, 王俊昌. 面向物联网移动终端设备的用户轨迹异常检测研究 [J]. 计算机应用研究, 2020, 37 (10): 3135-3138. (Li Jian, Fu Xiong, Wang Junchang. Research on user trajectory outlier detection for IoT mobile terminal devices [J]. Application Research of Computers, 2020, 37 (10): 3135-3138. )

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  • Application Research of Computers Monthly Journal
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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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