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Global and Personalized Query Probability for Obfuscation-Based Web Search

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Over the past few years, the volumes of digital information have increased dramatically. Web search engines become indispensable to our daily lives due to their capability of filtering relevant information. The web search engines collect users' online behavior data which implies their personalized interest, even contains sensitive information. A malicious attacker may benefit from advertising or manipulating political campaigns, which poses a serious threat to public security. In this paper, we propose two new methods to generate dummy queries base on global and personalized queries' probability. The generated anonymous queries set has greater information entropy which helps to protect user's intent in web search. Experiment results verify the validity of our methods.

源语言英语
主期刊名Proceedings - 11th IEEE International Conference on Knowledge Graph, ICKG 2020
编辑Enhong Chen, Grigoris Antoniou, Xindong Wu, Vipin Kumar
出版商Institute of Electrical and Electronics Engineers Inc.
259-266
页数8
ISBN(电子版)9781728181561
DOI
出版状态已出版 - 8月 2020
活动11th IEEE International Conference on Knowledge Graph, ICKG 2020 - Virtual, Online, 中国
期限: 9 8月 202011 8月 2020

出版系列

姓名Proceedings - 11th IEEE International Conference on Knowledge Graph, ICKG 2020

会议

会议11th IEEE International Conference on Knowledge Graph, ICKG 2020
国家/地区中国
Virtual, Online
时期9/08/2011/08/20

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