VoltKey: Using Power Line Noise for Zero-Involvement Pairing and Authentication (Demo Abstract)

03/31/2020
by   Jack West, et al.
0

We present VoltKey, a method that transparently generates secret keys for colocated devices, leveraging spatiotemporally unique noise contexts observed in commercial power line infrastructure. VoltKey extracts randomness from power line noise and securely converts it into an authentication token. Nearby devices which observe the same noise patterns on the powerline generate identical keys. The unique noise pattern observed only by trusted devices connected to a local power line prevents malicious devices without physical access from obtaining unauthorized access to the network. VoltKey is implemented inside of a standard USB power supply as a platform-agnostic bolt-on addition to any IoT or mobile device or any wireless access point that is connected to the power outlet.

READ FULL TEXT

page 1

page 2

research
08/09/2021

Technical Report on a Virtual CTAP2 WebAuthn Authenticator

Even though passwordless authentication to online accounts offers greate...
research
03/01/2023

Access-based Lightweight Physical Layer Authentication for the Internet of Things Devices

Physical-layer authentication is a popular alternative to the convention...
research
04/29/2021

Moonshine: An Online Randomness Distiller for Zero-Involvement Authentication

Context-based authentication is a method for transparently validating an...
research
03/27/2018

POKs Based Low Energy Authentication Scheme for Implantable Medical Devices

Implantable medical devices (IMDs), including pacemakers, implanted card...
research
07/28/2019

A Proof of Concept SRAM-based Physically Unclonable Function (PUF) Key Generation Mechanism for IoT Devices

This paper provides a proof of concept for using SRAM based Physically U...
research
01/04/2023

Optical fiber-based key for remote authentication of users and optical fiber line

We have shown the opportunity to use the unique inhomogeneities of the i...
research
02/25/2019

DRAMNet: Authentication based on Physical Unique Features of DRAM Using Deep Convolutional Neural Networks

Nowadays, there is an increasing interest in the development of Autonomo...

Please sign up or login with your details

Forgot password? Click here to reset