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Monoidal categories, representation gap and cryptography (2201.01805v2)

Published 5 Jan 2022 in math.RT, cs.CR, math.GR, and math.QA

Abstract: The linear decomposition attack provides a serious obstacle to direct applications of noncommutative groups and monoids (or semigroups) in cryptography. To overcome this issue we propose to look at monoids with only big representations, in the sense made precise in the paper, and undertake a systematic study of such monoids. One of our main tools is Green's theory of cells (Green's relations). A large supply of monoids is delivered by monoidal categories. We consider simple examples of monoidal categories of diagrammatic origin, including the Temperley-Lieb, the Brauer and partition categories, and discuss lower bounds for their representations.

Citations (6)

Summary

  • The paper introduces the concept of a representation gap, demonstrating that monoids with large gaps can resist linear algebraic attacks.
  • It leverages monoidal categories and Green’s cell theory to analyze monoid structures and ensure faithful representations.
  • The findings reveal that truncating diagrammatic monoids leads to exponentially large gaps, opening new avenues for secure cryptographic designs.

A Review of "Monoidal Categories, Representation Gap and Cryptography"

In "Monoidal Categories, Representation Gap and Cryptography," Khovanov, Sitaraman, and Tubbenhauer examine the intersection of monoidal categories with cryptographic applications, focusing on the representation theoretic properties of finite monoids derived from these categories. The paper suggests a novel approach to resisting linear algebraic attacks in cryptography by employing monoids with large representation gaps or faithful representations of large dimensions. The authors leverage Green's relations, or cell theory, to dissect the monoidal category structures and assess their potential cryptographic uses.

Key Contributions

  1. Representation Gap and Faithfulness: The authors introduce the concept of a representation gap, defined as the smallest dimension of a nontrivial representation of a monoid. They argue that monoids with large representation gaps can resist linear decomposition attacks, a common vulnerability in noncommutative algebraic cryptography. The paper further defines the notion of faithfulness, emphasizing the need for representations where distinct elements in the monoid act distinctly.
  2. Use of Monoidal Categories: Monoidal categories provide a structured framework delivering a family of monoids endowed with a tensor product operation. The paper explores how monoidal categories can naturally supply commuting actions, beneficial in cryptographic protocols. Shared examples include the Temperley–Lieb, Brauer, and partition categories, whose diagrammatic origins provide tractable instances of monoidal categories for paper.
  3. Cell Theory for Monoid Analysis: The paper employs Green’s theory of cells to analyze representations, employing crucial measures like left, right, and two-sided cell structures to understand simple representations. It discusses the interplay between the representation gap and the semisimple representation gap, providing insight into the lower bounds of nontrivial representations.
  4. Planar vs. Symmetric Monoidal Categories: The authors distinguish between planar monoidal categories, such as the Temperley–Lieb monoid, and symmetric ones like the Brauer monoid. They delve into the cell structures, provide calculations for representation dimensions, and emphasize elements' periods as significant factors for cryptography.
  5. Truncated Monoids: The concept of cell subquotients is introduced, where one constructs submonoids by restricting to certain cells. The paper suggests that monoidal categories, after truncation (e.g., Temperley–Lieb category on sufficiently many strands), can have representation gaps exponentially large compared to their size.

Numerical and Theoretical Implications

The paper provides concrete numerical results accentuating substantial representation gaps when using truncated versions of planar diagram monoids. Through theoretical analysis and mathematical rigor, the authors demonstrate that monoidal categories, via truncation and other manipulations, could serve as viable frameworks for secure cryptographic systems.

Practical and Theoretical Considerations

While promising, the practical implementation and computation cost of using such monoids in cryptographic systems is not fully addressed. Also, the paper implies a re-examination of classical cryptographic methods, shifting toward algebraic constructs with better-defined representation theoretic properties.

Future Directions

There is a potential for further research into broader families of monoidal categories and their cryptographic resistances. Additionally, computational aspects, such as the actual difficulty of implementing this approach at scale, require investigation. The exploration of diagrammatic monoid categories in cryptographic literature may lead to new secure communication protocols less susceptible to traditional algebraic attacks.

Conclusion

By connecting the abstract algebraic structures of monoidal categories with cryptographic requirements, the authors lay a foundational step towards a new, less-explored field in cryptography. Through detailed theoretical insights and rigorous mathematical frameworks, the paper equips future researchers with novel tools to enhance the security landscape against algebraic vulnerabilities.

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