Pattern-sensitive Local Differential Privacy for Finite-Range Time-series Data in Mobile Crowdsensing

IF 7.7 2区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

IEEE Transactions on Mobile Computing Pub Date : 2024-09-11 DOI:10.1109/tmc.2024.3445973

Zhetao Li, Xiyu Zeng, Yong Xiao, Chengxin Li, Wentai Wu, Haolin Liu

引用次数: 0

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移动人群感应中有限范围时间序列数据的模式敏感型局部差分隐私保护

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Transactions on Mobile Computing 工程技术-电信学

CiteScore

12.90

自引率

2.50%

发文量

403

审稿时长

6.6 months

期刊介绍： IEEE Transactions on Mobile Computing addresses key technical issues related to various aspects of mobile computing. This includes (a) architectures, (b) support services, (c) algorithm/protocol design and analysis, (d) mobile environments, (e) mobile communication systems, (f) applications, and (g) emerging technologies. Topics of interest span a wide range, covering aspects like mobile networks and hosts, mobility management, multimedia, operating system support, power management, online and mobile environments, security, scalability, reliability, and emerging technologies such as wearable computers, body area networks, and wireless sensor networks. The journal serves as a comprehensive platform for advancements in mobile computing research.

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