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The Odyssey of Entropy: Cryptography
Behrouz Zolfaghari1, Khodakhast Bibak2, Takeshi Koshiba3
1Cyber Science Lab, School of Computer Science, University of Guelph, Guelph, ON N1G 2W1, Canada.
Entropy, a measure of disorder, is crucial in information theory. This review explores its applications in cryptography, covering design, implementation, and evaluation, and outlines future research directions.
Area of Science:
- Information Theory
- Cryptography
- Computer Science
Background:
- Entropy, introduced by Shannon, quantifies disorder and unavailable information.
- Information-theoretical concepts have broad applications across scientific disciplines.
- The study focuses on the intersection of entropy and cryptographic systems.
Purpose of the Study:
- To systematically review the applications of entropy in cryptography.
- To analyze existing trends in the use of information theory in cryptographic design, implementation, and evaluation.
- To establish a roadmap for future research in this domain.
Main Methods:
- Systematic literature review.
- Analysis of information-theoretical concepts applied to cryptographic schemes, algorithms, devices, and systems.
- Trend analysis and identification of research gaps.
Main Results:
- Entropy and related concepts are integral to cryptographic design and evaluation.
- Identified key applications in ensuring randomness, security, and efficiency of cryptographic systems.
- Current trends highlight the increasing importance of information-theoretic security proofs.
Conclusions:
- Entropy provides a fundamental framework for understanding and enhancing cryptographic security.
- The review consolidates current knowledge and identifies critical areas for future cryptographic research.
- Future work should focus on novel applications of entropy in post-quantum cryptography and secure multi-party computation.
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