科研成果详情

题名Investigation on unauthorized human activity watching through leveraging Wi-Fi signals
作者
发表日期2018
会议名称11th International Conference on Security, Privacy and Anonymity in Computation, Communication, and Storage, SpaCCS 2018
会议录名称Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISBN978-303005344-4
ISSN0302-9743
卷号11342 LNCS
页码511-521
会议日期DEC 11-13, 2018
会议地点Melbourne, AUSTRALIA
摘要

Wireless signals, including Wi-Fi signals have become ubiquitous. Recent advancement shows that such signals can be leveraged for many applications including healthcare and people motion monitoring. An interesting question would be what if Wi-Fi signals can also be used in monitoring human activities in unauthorized and unauthenticated manner. In this paper, we study of watching human activities through leveraging Wi-Fi signals and discuss a few application prototypes. These prototypes are used to detect, track, and identify any moving objects, including those behind obstacles using multiple-input Multiple-output (MIMO) technology to calculate the change in frequency reception. We attempt to learn whether or not our Wi-Fi router is not watching our Internet activity as well as physical activities. With all new technologies, one must be aware that unauthorized use of these technology can be used by criminals to their advantage, and we discuss some of the countermeasures to mitigate this risks.

关键词Risk Signal compromise Unauthorized human activity monitoring Wi-Fi based security attack Wi-Fi signals
DOI10.1007/978-3-030-05345-1_44
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收录类别CPCI-S
语种英语English
WOS研究方向Computer Science
WOS类目Computer Science ; Information Systems Computer Science ; Software Engineering Computer Science ; Theory & Methods
WOS记录号WOS:000853706600044
Scopus入藏号2-s2.0-85058525297
引用统计
被引频次:1[WOS]   [WOS记录]     [WOS相关记录]
文献类型会议论文
条目标识符https://repository.uic.edu.cn/handle/39GCC9TT/7197
专题个人在本单位外知识产出
通讯作者Wang, Guojun
作者单位
1.Department of Computer and Information Sciences, Fordham University, New York, 10458, United States
2.School of Computer Science and Technology, Guangzhou University, Guangzhou, 510006, China
3.Department of Computer and Information Sciences, Huaqiao University, Quanzhou, 362000, China
推荐引用方式
GB/T 7714
Bhuiyan, Md Zakirul Alam,Islam, Md Monirul,Wang, Guojunet al. Investigation on unauthorized human activity watching through leveraging Wi-Fi signals[C], 2018: 511-521.
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