Lyric-based passwords: Enhancing security and recall with AI
In the digital age, text-based passwords remain the cornerstone of user authentication. However, the balance between security and memorability remains a significant challenge. Users often face a dilemma between creating complex passwords that are difficult to remember and simpler ones that are vulne...
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| Format: | Article |
| Language: | English |
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KeAi Communications Co., Ltd.
2025-12-01
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| Series: | Cyber Security and Applications |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772918425000256 |
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| author | Jared Wise Md Tamjidul Hoque |
| author_facet | Jared Wise Md Tamjidul Hoque |
| author_sort | Jared Wise |
| collection | DOAJ |
| description | In the digital age, text-based passwords remain the cornerstone of user authentication. However, the balance between security and memorability remains a significant challenge. Users often face a dilemma between creating complex passwords that are difficult to remember and simpler ones that are vulnerable to attacks.This research introduces a novel approach to password generation by leveraging linguistic patterns from song lyrics and advanced machine learning models. By processing over 5 million lyrics from the AZ Lyrics and Genius datasets, we identify memorable linguistic constructs, such as verb phrases, to create secure and user-friendly passwords. Transformer architectures are employed for password generation, while LSTM-based models assess their security.A web application integrates these features to enhance usability, offering mnemonic aids such as narrative generation and interactive tools for real-time password creation. This system educates users on best practices and simplifies password management through an engaging interface. Comparative studies demonstrate that lyric-based passwords outperform traditional recall and security metrics methods. By balancing usability and robustness, this approach sets a new standard for password management systems and offers a forward-thinking solution to a persistent cybersecurity challenge. |
| format | Article |
| id | doaj-art-c52bc610d38044b4b934beef5545d765 |
| institution | DOAJ |
| issn | 2772-9184 |
| language | English |
| publishDate | 2025-12-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Cyber Security and Applications |
| spelling | doaj-art-c52bc610d38044b4b934beef5545d7652025-08-20T02:40:47ZengKeAi Communications Co., Ltd.Cyber Security and Applications2772-91842025-12-01310010810.1016/j.csa.2025.100108Lyric-based passwords: Enhancing security and recall with AIJared Wise0Md Tamjidul Hoque1Department of Computer Science, University of New Orleans, LA, USACorresponding author.; Department of Computer Science, University of New Orleans, LA, USAIn the digital age, text-based passwords remain the cornerstone of user authentication. However, the balance between security and memorability remains a significant challenge. Users often face a dilemma between creating complex passwords that are difficult to remember and simpler ones that are vulnerable to attacks.This research introduces a novel approach to password generation by leveraging linguistic patterns from song lyrics and advanced machine learning models. By processing over 5 million lyrics from the AZ Lyrics and Genius datasets, we identify memorable linguistic constructs, such as verb phrases, to create secure and user-friendly passwords. Transformer architectures are employed for password generation, while LSTM-based models assess their security.A web application integrates these features to enhance usability, offering mnemonic aids such as narrative generation and interactive tools for real-time password creation. This system educates users on best practices and simplifies password management through an engaging interface. Comparative studies demonstrate that lyric-based passwords outperform traditional recall and security metrics methods. By balancing usability and robustness, this approach sets a new standard for password management systems and offers a forward-thinking solution to a persistent cybersecurity challenge.http://www.sciencedirect.com/science/article/pii/S2772918425000256Lyric-based passwordsMachine learningTransformer architectureMemorabilityPassword strength classificationNatural language processing |
| spellingShingle | Jared Wise Md Tamjidul Hoque Lyric-based passwords: Enhancing security and recall with AI Cyber Security and Applications Lyric-based passwords Machine learning Transformer architecture Memorability Password strength classification Natural language processing |
| title | Lyric-based passwords: Enhancing security and recall with AI |
| title_full | Lyric-based passwords: Enhancing security and recall with AI |
| title_fullStr | Lyric-based passwords: Enhancing security and recall with AI |
| title_full_unstemmed | Lyric-based passwords: Enhancing security and recall with AI |
| title_short | Lyric-based passwords: Enhancing security and recall with AI |
| title_sort | lyric based passwords enhancing security and recall with ai |
| topic | Lyric-based passwords Machine learning Transformer architecture Memorability Password strength classification Natural language processing |
| url | http://www.sciencedirect.com/science/article/pii/S2772918425000256 |
| work_keys_str_mv | AT jaredwise lyricbasedpasswordsenhancingsecurityandrecallwithai AT mdtamjidulhoque lyricbasedpasswordsenhancingsecurityandrecallwithai |