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Dyadic-Chaotic Lifting S-Boxes for Enhanced Physical-Layer Security within 6G Networks

Ilias Cherkaoui, Indrakshi Dey

TL;DR

The paper tackles the need for lightweight, reconfigurable confusion at the 6G physical layer to defend against large-scale precomputation and side-channel attacks. It proposes a chaos-driven, $\beta$-transformation–based $8\times8$ S-box with dyadic conditional sampling to produce time-varying, seedable permutations while preserving uniformity. Key results show per-bit algebraic degree $7$, average nonlinearity $102.5$, max differential probability $10/256$, and max linear probability $0.648$, enabling strong diffusion with a compact, table-free implementation. Hardware validation demonstrates sub-millisecond generation latency at $200$ MHz and favorable area/power trade-offs, supporting slice-level agility for URLLC/mMTC; future work will address finite-precision effects, online parameter adaptation, and integration with slice controllers for over-the-air deployment.

Abstract

Sixth-Generation (6G) wireless networks will interconnect billions of resource-constrained devices and time-critical services, where classical, fixed, and heavy cryptography strains latency and energy budgets and struggles against large-scale, pre-computation attacks. Physical-Layer Security (PLS) is therefore pivotal to deliver lightweight, information-theoretic protection, but still requires strong, reconfigurable confusion components that can be diversified per slice, session, or device to blunt large-scale precomputation and side-channel attacks. In order to address the above requirement, we introduce the first-ever chaos-lifted substitution box (S-box) for PLS that couples a $β$-transformation-driven dynamical system with dyadic conditional sampling to generate time-varying, seedable 8-bit permutations on demand. This construction preserves uniformity via ergodicity, yields full 8-bit bijections, and supports on-the-fly diversification across sessions. The resulting S-box attains optimal algebraic degree 7 on every output bit and high average nonlinearity 102.5 (85% of the 8-bit bound), strengthening resistance to algebraic and linear cryptanalysis. Differential and linear profiling report max DDT entry 10 (probability 0.039) and max linear probability 0.648, motivating deployment within a multi-round cipher with a strong diffusion layer, where the security-to-efficiency trade-off is compelling. Our proposed reconfigurable, lightweight S-box directly fulfills key PLS requirements of 6G networks by delivering fast, hardware-amenable confusion components with built-in agility against evolving threats.

Dyadic-Chaotic Lifting S-Boxes for Enhanced Physical-Layer Security within 6G Networks

TL;DR

The paper tackles the need for lightweight, reconfigurable confusion at the 6G physical layer to defend against large-scale precomputation and side-channel attacks. It proposes a chaos-driven, -transformation–based S-box with dyadic conditional sampling to produce time-varying, seedable permutations while preserving uniformity. Key results show per-bit algebraic degree , average nonlinearity , max differential probability , and max linear probability , enabling strong diffusion with a compact, table-free implementation. Hardware validation demonstrates sub-millisecond generation latency at MHz and favorable area/power trade-offs, supporting slice-level agility for URLLC/mMTC; future work will address finite-precision effects, online parameter adaptation, and integration with slice controllers for over-the-air deployment.

Abstract

Sixth-Generation (6G) wireless networks will interconnect billions of resource-constrained devices and time-critical services, where classical, fixed, and heavy cryptography strains latency and energy budgets and struggles against large-scale, pre-computation attacks. Physical-Layer Security (PLS) is therefore pivotal to deliver lightweight, information-theoretic protection, but still requires strong, reconfigurable confusion components that can be diversified per slice, session, or device to blunt large-scale precomputation and side-channel attacks. In order to address the above requirement, we introduce the first-ever chaos-lifted substitution box (S-box) for PLS that couples a -transformation-driven dynamical system with dyadic conditional sampling to generate time-varying, seedable 8-bit permutations on demand. This construction preserves uniformity via ergodicity, yields full 8-bit bijections, and supports on-the-fly diversification across sessions. The resulting S-box attains optimal algebraic degree 7 on every output bit and high average nonlinearity 102.5 (85% of the 8-bit bound), strengthening resistance to algebraic and linear cryptanalysis. Differential and linear profiling report max DDT entry 10 (probability 0.039) and max linear probability 0.648, motivating deployment within a multi-round cipher with a strong diffusion layer, where the security-to-efficiency trade-off is compelling. Our proposed reconfigurable, lightweight S-box directly fulfills key PLS requirements of 6G networks by delivering fast, hardware-amenable confusion components with built-in agility against evolving threats.

Paper Structure

This paper contains 14 sections, 4 theorems, 2 equations, 5 figures, 2 tables, 1 algorithm.

Key Result

Theorem 2.2

For $\beta\in\mathcal{B}$, the system $([0,1[,T_\beta)$ is chaotic in the sense of Devaney.

Figures (5)

  • Figure 1: Three-Stage S-Box Construction
  • Figure 2: Nonlinearity per Output Bit: The S-box has very strong nonlinearity and the nonlinearity of the output bits has been measured, thus the average nonlinearity of $102.5$ is obtained. This amount is about $85.4\%$ of the theoretical maximum ($\approx$120 for $8$-bit S-boxes), so it can be said that the S-box has a very strong resistance against linear cryptanalysis.
  • Figure 3: Differential Distribution Table Analysis: The DDT maximum entry value of $10$ is equivalent to a differential probability of $10/256 = 0.039062$, which is quite a bit above the optimal limit of 4 (probability $4/256 = 0.015625$).
  • Figure 4: Linear Approximation Table Distribution: The maximum absolute bias of $76$ means the linear probability of $0.648438$, which is remarkably higher than the bent limit of $16$ (probability $0.531250$). The bias corresponding to occurrence numbers presents a pattern of decreasing from $12.386$ at bias $4$ down to just $1.049$ at bias $36$.
  • Figure 5: Algebraic Degree and ANF Structure: All output bits reach the highest algebraic degree of $7$, which is the highest possible algebraic complexity for the S-box.

Theorems & Definitions (10)

  • Definition 2.1
  • Theorem 2.2
  • proof
  • Theorem 2.3
  • proof
  • Theorem 2.4
  • proof
  • Definition 2.5
  • Corollary 2.6
  • proof