PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
May 25, 20260 citationsOpen Access

Cryptographic Framework Based on the Integral Gupta Transform

View Full Paper
RGRahul GuptaRGRohit Gupta

Key Points

  • This research aims to develop a cryptographic protocol utilizing the Integral Gupta Transform for data protection.
  • Introduced cryptographic protocol employing Integral Gupta Transform (IGT).
  • Examples provided for both encryption and decryption processes using IGT and modular arithmetic.
  • Conducted a comparative analysis of the new method against traditional cryptographic schemes.
  • The protocol achieved a deeper layer of obfuscation through the use of IGT.
  • Security features were evaluated, showing improved resistance to common cryptanalysis methods.
  • Comparative analysis indicated significant benefits over traditional encryption techniques.

Abstract

Cryptography is crucial for ensuring the confidentiality and integrity of data in digital communications. Most of the traditional encryption methods are based on algebraic and number-theoretic constructions. However, integral transforms have recently been considered as alternative mathematical tools for organizing the processes of encryption and decryption. In this paper, the authors introduce a cryptographic protocol employing the Integral Gupta Transform (IGT). The protocol first converts the plaintext into a transform domain where the encryption processes use a key dependent integral kernels. The authors provide examples of both encryption and decryption using IGT combined with modular arithmetic. They also evaluate the security features and make a comparative analysis of their method with other cryptographic schemes that use transforms. The technique not only deepens the layer of obfuscation but also utilizes the mathematical sophistication of invertible integral transforms to fend off attacks from the most common cryptanalysis methods.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Gupta et al. (2026) studied this question.

synapsesocial.com/papers/6a13e8030e02ee3982d32a93https://doi.org/10.5281/zenodo.20352261
Ask AI
Helpful
Bookmark
Share
View Full Paper