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Software Technology Research
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 2
441-445

Bayesian network method for remote sensing cloud user behavior authentication

Cheng Luxiao1
Yan Jining2
Jiao Yang1
Ma Yan3
Wang Yuzhu4
1. School of Information Science & Engineering, Yanshan University, Qinhuangdao Hebei 066004, China
2. School of Computer Science, China University of Geosciences, Wuhan 430074, China
3. Institute of Remote Sensing & Digital Earth, Chinese Academy of Sciences, Beijing 100094, China
4. School of Information Engineering, China University of Geosciences, Beijing 100083, China
DOI: 10.19734/j.issn.1001-3695.2017.09.0903

Abstract

Aiming at the intrusion of untrusted users in remote sensing cloud platform, this paper designed a user behavior authentication scheme based on the characteristics of remote sensing cloud user behavior and Bayesian network algorithm. The scheme discussed the users' behavior authentication mechanism of remote sensing cloud platform, and according to the users' behavior characteristics, the scheme established an authentication set on users' behavior. It combined with the predictive characteristics of Bayesian network algorithm and user behavior properties to set up a Bayesian network model for authentication grade prediction. It applied the weight information of user behavior attributes analyzed in this model to the user grade prediction algorithm, which made the algorithm more secure and accurate for remote sensing cloud user authentication safer accurately, so as to realize the prediction of user behavior authentication level. Simulation examples show that the model is effective to identify untrusted users accurately, and can ensure the security of remote sensing cloud platform.

Foundation Support

国家“863”计划资助项目(2013AA12A301)
国家重点研发计划项目(2016YFB0200800)
国家自然科学基金资助项目(61602477)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.09.0903
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 2
Section: Software Technology Research
Pages: 441-445
Serial Number: 1001-3695(2019)02-027-0441-05

Publish History

[2019-02-05] Printed Article

Cite This Article

成路肖, 阎继宁, 焦阳, 等. 基于贝叶斯网络的遥感云用户行为认证方法 [J]. 计算机应用研究, 2019, 36 (2): 441-445. (Cheng Luxiao, Yan Jining, Jiao Yang, et al. Bayesian network method for remote sensing cloud user behavior authentication [J]. Application Research of Computers, 2019, 36 (2): 441-445. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

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.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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