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Sensing and Anti-sensing with Wireless Communication Signal

Zhang, Ouyang
http://rave.ohiolink.edu/etdc/view?acc_num=osu1563230635193783

Abstract Details

2019, Doctor of Philosophy, Ohio State University, Computer Science and Engineering.
Wireless sensing is the core technology that enables a countless number of applications in various areas, such as human-computer interaction, home-security monitor and indoor navigation. Compared with various existing techniques, such as audio-based, camera-based, and radar-based systems, wireless signal based techniques show advantages in low-cost, preserving users' privacy, free from limitations such as the light condition, the line-of-sight link and so on. The ubiquity and drastically growth of communication devices (e.g., WiFi) in the world today represents a huge opportunity in delivering useful services to society. However, in designing wireless sensing system, there exist several technical challenges, such as significant noise in the wireless channel, random phase shift due to lack of clock synchronization, continuously changing and dynamic wireless channel and heterogeneous links' qualities. These factors prevent the reliability and robustness of existing wireless sensing systems, which utilizes commodity communication signal. On the other side, given enough time on efforts in the research community and the industry, these sensing systems will in due course be realized robustly and commoditized for broad use. Thus, a great concern comes onto the table as a new form of threat has emerged recently that leaks private information about the whereabouts and activities of physical targets merely by observing the ongoing wireless communications in the scene. Therefore, to exploit the potential of prevalent existing communication infrastructures for the well-being of human, we as researchers need to not only propose innovative solutions on providing reliable and robust wireless sensing services but also put a significant priority on endeavors to protect the private information of the innocent users from leaking. In this dissertation, we study the problems of sensing and anti-sensing with wireless communication signal, e.g., WiFi. First, we study user-friendly fine-grain finger-gesture recognition. We propose Mudra, a novel wireless sensing technique that takes the first step to recognize finger-gestures with the commodity WiFi signal. Mudra provides consistent services against the dynamics in the wireless environment. Second, we study whole-home human activities recognition. To boost the performance over the existing activity recognition systems, we design TifWiFi, which utilizes a two-profile integration approach to complement the drawback on each individual profile. Lastly, we work on protecting users' privacy against general wireless sensing techniques. We propose PhyCloak, which is the first work of its kind to disable eavesdropping on users' private information against any wireless sensing technique with the one-antenna setting. In the above, the two wireless sensing designs cover different application scenarios, i.e., near-field fine-grain small-scale motion detection and far-field course-grain large-scale activity recognition. Thus, they can represent distinct challenges and issues with regards to each scenario. In the protection system, instead of the naive jamming method, we design a novel signal processing approach to obfuscate the eavesdropper without its awareness while preserving the legitimate sensing capability. We have implemented the above three systems and conducted extensive experiments in various real-world conditions. Evaluation results show the effectiveness of our systems.
Kannan Athreya (Advisor)
Srinivasan Parthasarathy (Committee Member)
Yinqian Zhang (Committee Member)
152 p.
Computer Engineering; Computer Science

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Citations

  • Zhang, O. (2019). Sensing and Anti-sensing with Wireless Communication Signal [Doctoral dissertation, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1563230635193783

    APA Style (7th edition)

  • Zhang, Ouyang. Sensing and Anti-sensing with Wireless Communication Signal. 2019. Ohio State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1563230635193783.

    MLA Style (8th edition)

  • Zhang, Ouyang. "Sensing and Anti-sensing with Wireless Communication Signal." Doctoral dissertation, Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1563230635193783

    Chicago Manual of Style (17th edition)

osu1563230635193783
257
© 2019, some rights reserved.Creative Commons License Sensing and Anti-sensing with Wireless Communication Signal by Ouyang Zhang is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by The Ohio State University and OhioLINK.