SocialHBC: Social Networking and Secure Authentication using Interference-Robust Human Body Communication
Shreyas Sen

TL;DR
This paper introduces a novel interference-robust human body communication method for secure, low-power wearable device networking, enabling social networking and authentication applications with enhanced security and interference filtering.
Contribution
It presents the first dual data rate receiver technique for interference filtering in human body communication, improving robustness and security.
Findings
Achieved >20 dB notch filtering of interference signals.
Demonstrated secure social networking and authentication applications.
Enabled ultra-low power intra-human communication.
Abstract
With the advent of cheap computing through five decades of continued miniaturization following Moores Law, wearable devices are becoming increasingly popular. These wearable devices are typically interconnected using wireless body area network (WBAN). Human body communication (HBC) provides an alternate energy-efficient communication technique between on-body wearable devices by using the human body as a conducting medium. This allows order of magnitude lower communication power, compared to WBAN, due to lower loss and broadband signaling. Moreover, HBC is significantly more secure than WBAN, as the information is contained within the human body and cannot be snooped on unless the person is physically touched. In this paper, we highlight applications of HBC as (1) Social Networking (e.g. LinkedIn/Facebook friend request sent during Handshaking in a meeting/party), (2) Secure…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
