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2024 | OriginalPaper | Chapter

Emotionally Engaged Neurosymbolic AI for Usable Password Generation

Author : Sumitra Biswal

Published in: Advances in Data-Driven Computing and Intelligent Systems

Publisher: Springer Nature Singapore

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Abstract

The chapter delves into the challenge of secure password generation in the digital era, highlighting the prevalence of password-based authentication despite advances in biometric and MFA. It introduces the Emotionally Engaged Neurosymbolic AI (EENAI) Password Recommender System, which combines AI and cognitive psychology to generate secure, memorable passwords. The system leverages emotional attributes like valence and arousal to create personalized passwords, addressing the trade-off between memorability and security. The EENAI architecture includes modules for scenario generation, password creation, and mnemonic cue generation, each contributing to the overall password generation process. Experimental results demonstrate that higher emotional attribute values significantly enhance password strength and memorability. The chapter concludes by emphasizing the potential of emotional associations in crafting robust and memorable passwords, setting the stage for future research and practical applications in password security.
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Metadata
Title
Emotionally Engaged Neurosymbolic AI for Usable Password Generation
Author
Sumitra Biswal
Copyright Year
2024
Publisher
Springer Nature Singapore
Book
Advances in Data-Driven Computing and Intelligent Systems

Print ISBN: 978-981-9995-20-2

Electronic ISBN: 978-981-9995-21-9

Copyright Year: 2024

DOI
https://doi.org/10.1007/978-981-99-9521-9_20