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Context-Aware Scalable Authentication: Using passive multi-factor sensing to facilitate authentication

Researcher: Jason Hong

Research Area: Mobility

Cross Cutting Thrusts: Usable Privacy and Security

Abstract

Passwords are the most common form of authentication today, but are also an increasingly common vulnerability. People reuse passwords, fall for phishing attacks, create weak passwords, and often forget passwords. We are working under the assumption that everyone in the future will have some kind of smart device. Our goal here is to (a) have this smart device manage all of our authentication needs (e.g. creating new accounts, password resets, sharing credentials), and (b) use passive multi-factor sensing to protect the smart device from theft or other inappropriate uses.

Outcomes: New protocol for managing activities surrounding credentials Prototype system for managing credentials Models for using passive multi-factor sensing to infer identity