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Data desensitization meets big data and artificial intelligence: Some food for thought
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Science & Technology Review | 2020, 38(3) : 115 - 122
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Science & Technology Review | 2020, 38(3): 115-122
• Exclusive: Big data strategy •
Data desensitization meets big data and artificial intelligence: Some food for thought
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WANG Hongkai1, GONG Xiaogang1, YE Wei1, CHEN Chao1, MA Xinqiang2,3, YAO Jinqiang4, LIU Yong2
Affiliations
    1. State Grid Zhejiang Electric Power Company's Information Communication Company, Hangzhou 310027, China;
    2. Institute of Cyber-Systems and Control, Zhejiang University, Hangzhou 310027, China;
    3. School of Artificial Intelligence, Chongqing University of Arts and Sciences, Chongqing 402160, China;
    4. Zhejiang Communications Group Inspection Technology Co., Ltd., Hangzhou 310030, China
Published: 2020-02-13 doi: 10.3981/j.issn.1000-7857.2020.03.008
Outline
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How to avoid the privacy and information leakage in the massive data is a widespread concern in the field of the big data and the information security. The data desensitization technology is one of the important means to solve this problem. In recent years, with the rapid development of the artificial intelligence technology driven by the big data and the high-performance computing, a large number of innovative methods were proposed, with many challenges to the existing data desensitization methods. This paper reviews the current situation of the big data and intelligent technology development, and the data desensitization technology, as well as the future development trends of the data desensitization technology.
big data  /  AI  /  data desensitization  /  information security
王红凯, 龚小刚, 叶卫, 陈超, 马新强, 姚进强, 刘勇. 大数据智能下数据脱敏的思考. 科技导报, 2020 , 38 (3) : 115 -122 . DOI: 10.3981/j.issn.1000-7857.2020.03.008
WANG Hongkai, GONG Xiaogang, YE Wei, CHEN Chao, MA Xinqiang, YAO Jinqiang, LIU Yong. Data desensitization meets big data and artificial intelligence: Some food for thought[J]. Science & Technology Review, 2020 , 38 (3) : 115 -122 . DOI: 10.3981/j.issn.1000-7857.2020.03.008
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Article Info
doi: 10.3981/j.issn.1000-7857.2020.03.008
  • Receive Date：2019-10-13
  • Online Date：2020-04-01
  • Published：2020-02-13
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  • Received：2019-10-13
  • Revised：2019-12-30
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多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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