NEUROCRYPT: Coercion-Resistant Implicit Memory Authentication System

In this research, I integrated the fields of security, Human-computer interaction (HCI), and cognitive science to design, implement, and evaluate a fallback authentication system. The system leverages “Serial Interception Sequence Learning” and incorporates additional auditory and haptic modalities, grounded in principles from cognitive psychology. A comprehensive user study was conducted to assess the feasibility and effectiveness of this innovative approach. This work was accepted in AAAI 2022 under the student abstract and poster tracks. An extension of this work is currently underway, this will be submitted as a full paper in early 2025.

Links: AAAI-22 Student Abstract, Github