BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//project/author//NONSGML v1.0//EN
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTEND:20200827T120000Z
UID:25dfbe0e0f4bfe368b6464ea97899481-92
DTSTAMP:19700101T120010Z
DESCRIPTION:On building interactive and secure smart spaces
URL;VALUE=URI:https://www.csa.iisc.ac.in/newweb/event/92/on-building-interactive-and-secure-smart-spaces/
SUMMARY:Please click on the following URL to join the talk. <br>
<a href="https://teams.microsoft.com/l/meetup-join/19%3ameeting_YmU3ZGQzMzMtY2Q1MC00NzY0LWE2MzAtZGQ3NTIxNjgwZjFm%40thread.v2/0?context=%7b%22Tid%22%3a%226f15cd97-f6a7-41e3-b2c5-ad4193976476%22%2c%22Oid%22%3a%2282f39501-c5b2-4bfb-87c3-f17ca74c00b6%22%7d">https://teams.microsoft.com/l/meetup-join/19%3ameeting_YmU3ZGQzMzMtY2Q1MC00NzY0LWE2MzAtZGQ3NTIxNjgwZjFm%40thread.v2/0?context=%7b%22Tid%22%3a%226f15cd97-f6a7-41e3-b2c5-ad4193976476%22%2c%22Oid%22%3a%2282f39501-c5b2-4bfb-87c3-f17ca74c00b6%22%7d</a> 
<br>
Absract:
<br>
The future of Internet-of-Things (IoT) demands seamless interaction between users and devices, where sensing interfaces blend into everyday objects. Toward realizing the vision of making sensing interfaces truly ubiquitous, we also need to make the future smart spaces secure. In this talk, I will present two of my works, which concern with these critical issues.
Firstly, I will present RIO, a novel battery-free touch-sensing user interface (UI) primitive. With RIO, any surface can be turned into a touch-aware interactive surface by directly attaching RFID tags. RIO is built using impedance tracking: when a human finger touches the surface of an RFID tag, the impedance of the antenna changes. This change manifests as a variation in the phase of the RFID backscattered signal and is used by RIO to track fine-grained touch movement, over both off-the-shelf and custom-built tags.
Secondly, I will present REVOLT, an end-to-end system to detect replay attacks on voice-first devices (e.g., Amazon Echo, Google Home, etc.) without requiring a user to wear any wearable device. This system has several distinct features: (i) it intelligently exploits the inherent differences between the spectral characteristics of the original and replayed voice signals, (ii) it exploits both acoustic and WiFi channels in tandem, (iii) it utilizes unique breathing rate extracted from WiFi signal while speaking to test the liveness of human voice. This novel technique of combining WiFi and voice modality yields low false positive and false negative when evaluated against a range of voice replay attacks.
DTSTART:20200827T120000Z
END:VEVENT
END:VCALENDAR