A Prototype of Plaintext Recovery Attack Against RSA Cryptosystem Using Neural Networks
Cryptography is fundamental to cybersecurity, as it ensures confidentiality, integrity, and authenticity of data against adversaries. With the rapid growth of artificial intelligence (AI) across diverse applications and systems, addressing AI-driven cybersecurity threats is as important as safeguarding AI from cyberattacks. This research explores a plaintext recovery attack on the widely used RSA cryptographic algorithm […]
Authors
- Charlie Obimbo (ORCID: https://orcid.org/0000-0001-9422-1522)
- Fatemeh Khoda Parast (ORCID: https://orcid.org/0000-0001-9340-7456)
- V. Saravanan (ORCID: https://orcid.org/0000-0002-8822-5399)
Publication Details
- Published
- 2024-12-31
- DOI
- https://doi.org/10.20533/icitst.2024.0017
- Primary Topic
- Chaos-based Image/Signal Encryption
- Type
- article
- Field-Weighted Citation Impact
- 0.00