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)
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ISBN | 978-303005344-4 |
ISSN | 0302-9743 |
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 |
DOI | 10.1007/978-3-030-05345-1_44 |
URL | 查看来源 |
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 | |
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. |
条目包含的文件 | 条目无相关文件。 |
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