Key Derivation: A Dynamic PBKDF2 Model for Modern Cryptographic Systems
Traditional key derivation techniques, including the widely adopted PBKDF2, operate with static parameters that do not account for contextual factors such as device capabilities, data sensitivity, or password strength. In this paper, we propose a novel adaptive PBKDF2-based encryption scheme that ad...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-06-01
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| Series: | Cryptography |
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| Online Access: | https://www.mdpi.com/2410-387X/9/2/39 |
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| author | Ali Abdullah S. AlQahtani |
| author_facet | Ali Abdullah S. AlQahtani |
| author_sort | Ali Abdullah S. AlQahtani |
| collection | DOAJ |
| description | Traditional key derivation techniques, including the widely adopted PBKDF2, operate with static parameters that do not account for contextual factors such as device capabilities, data sensitivity, or password strength. In this paper, we propose a novel adaptive PBKDF2-based encryption scheme that adjusts its iteration count dynamically based on computational resource index (CRI), data risk level (DRL), and password strength assessment. We present the theoretical model, algorithmic design, and empirical validation of our approach through nine comprehensive experiments, covering performance, scalability, brute-force resistance, entropy quality, and cross-platform consistency. Our results confirm that the adaptive method achieves a secure balance between computational cost and cryptographic strength, outperforming static PBKDF2 in dynamic scenarios. Our framework enhances cryptographic resilience in real-world deployments and offers a forward-compatible foundation for adaptive security solutions. |
| format | Article |
| id | doaj-art-841f40baa8d1406e9f6bece703a950b0 |
| institution | Kabale University |
| issn | 2410-387X |
| language | English |
| publishDate | 2025-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Cryptography |
| spelling | doaj-art-841f40baa8d1406e9f6bece703a950b02025-08-20T03:27:01ZengMDPI AGCryptography2410-387X2025-06-01923910.3390/cryptography9020039Key Derivation: A Dynamic PBKDF2 Model for Modern Cryptographic SystemsAli Abdullah S. AlQahtani0Department of Software Engineering (Cybersecurity Track), College of Computer & Information Science, Prince Sultan University, Riyadh 11586, Saudi ArabiaTraditional key derivation techniques, including the widely adopted PBKDF2, operate with static parameters that do not account for contextual factors such as device capabilities, data sensitivity, or password strength. In this paper, we propose a novel adaptive PBKDF2-based encryption scheme that adjusts its iteration count dynamically based on computational resource index (CRI), data risk level (DRL), and password strength assessment. We present the theoretical model, algorithmic design, and empirical validation of our approach through nine comprehensive experiments, covering performance, scalability, brute-force resistance, entropy quality, and cross-platform consistency. Our results confirm that the adaptive method achieves a secure balance between computational cost and cryptographic strength, outperforming static PBKDF2 in dynamic scenarios. Our framework enhances cryptographic resilience in real-world deployments and offers a forward-compatible foundation for adaptive security solutions.https://www.mdpi.com/2410-387X/9/2/39adaptive cryptographyPBKDF2key derivation functioncontext-aware encryptiondynamic iteration tuningcomputational resource index |
| spellingShingle | Ali Abdullah S. AlQahtani Key Derivation: A Dynamic PBKDF2 Model for Modern Cryptographic Systems Cryptography adaptive cryptography PBKDF2 key derivation function context-aware encryption dynamic iteration tuning computational resource index |
| title | Key Derivation: A Dynamic PBKDF2 Model for Modern Cryptographic Systems |
| title_full | Key Derivation: A Dynamic PBKDF2 Model for Modern Cryptographic Systems |
| title_fullStr | Key Derivation: A Dynamic PBKDF2 Model for Modern Cryptographic Systems |
| title_full_unstemmed | Key Derivation: A Dynamic PBKDF2 Model for Modern Cryptographic Systems |
| title_short | Key Derivation: A Dynamic PBKDF2 Model for Modern Cryptographic Systems |
| title_sort | key derivation a dynamic pbkdf2 model for modern cryptographic systems |
| topic | adaptive cryptography PBKDF2 key derivation function context-aware encryption dynamic iteration tuning computational resource index |
| url | https://www.mdpi.com/2410-387X/9/2/39 |
| work_keys_str_mv | AT aliabdullahsalqahtani keyderivationadynamicpbkdf2modelformoderncryptographicsystems |