Emotionally Engaged Neurosymbolic AI for Usable Password Generation

Password-based authentication remains essential despite the advent of Multi-factor Authentication (MFA). A significant challenge is encouraging users to create strong, memorable passwords, as weak or reused passwords pose considerable security risks. This research introduces the Emotionally Engaged Neurosymbolic AI (EENAI) system, a novel approach for generating usable passwords. It combines neurosymbolic AI and emotional engagement, utilizing valence and arousal in emotionally engaged scenarios. Neurosymbolic AI combines neural network learning with classical AI's symbolic reasoning, ideal for generating context-aware passwords. By integrating valence and arousal, EENAI generates secure, memorable passwords. This paper details EENAI principles, experimental procedures, and observations. Results suggest that EENAI-generated passwords balance security, memorability, and usability, potentially revolutionizing password creation practices. The passwords are further evaluated using a standard password strength estimation tool, yielding promising results. The paper concludes with an EENAI impact assessment and future work recommendations.