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Engel p-adic Isogeny-based Cryptography over Laurent Series: Foundations, Security, and an ESP32 Implementation

Ilias Cherkaoui, Indrakshi Dey

TL;DR

This work introduces a novel post-quantum cryptography framework that fuses Engel expansions with $p$-adic Laurent-series arithmetic to parameterize supersingular isogenies. Encoding torsion data via Engel coefficients yields compact public keys while enabling fixed-precision, branch-regular arithmetic suitable for embedded devices, demonstrated on an ESP32 with constant-time kernels. The security model rests on SIDP and a new EEIP hardness assumption for the Engel encoding, offering IND‑CPA security under these conjectures. Empirical evaluation shows linear-time cryptographic computation with respect to message size, with network latency dominating end-to-end performance in multi-node IoT deployments, and energy profiles indicating predictable, hardware-friendly operation. The results highlight a viable path to quantum-resistant, lightweight cryptography on resource-constrained devices, while outlining directions for deeper cryptanalytic validation and hardware co-design.

Abstract

Securing the Internet of Things (IoT) against quantum attacks requires public-key cryptography that (i) remains compact and (ii) runs efficiently on microcontrollers, capabilities many post-quantum (PQ) schemes lack due to large keys and heavy arithmetic. We address both constraints simultaneously with, to our knowledge, the first-ever isogeny framework that encodes super-singular elliptic-curve isogeny data via novel Engel expansions over the p-adic Laurent series. Engel coefficients compress torsion information, thereby addressing the compactness constraint, yielding public keys of ~1.1 - 16.9 kbits preserving the hallmark small sizes of isogeny systems. Engel arithmetic is local and admits fixed-precision p-adic operations, enabling micro-controller efficiency with low-memory, branch-regular kernels suitable for embedded targets.

Engel p-adic Isogeny-based Cryptography over Laurent Series: Foundations, Security, and an ESP32 Implementation

TL;DR

This work introduces a novel post-quantum cryptography framework that fuses Engel expansions with -adic Laurent-series arithmetic to parameterize supersingular isogenies. Encoding torsion data via Engel coefficients yields compact public keys while enabling fixed-precision, branch-regular arithmetic suitable for embedded devices, demonstrated on an ESP32 with constant-time kernels. The security model rests on SIDP and a new EEIP hardness assumption for the Engel encoding, offering IND‑CPA security under these conjectures. Empirical evaluation shows linear-time cryptographic computation with respect to message size, with network latency dominating end-to-end performance in multi-node IoT deployments, and energy profiles indicating predictable, hardware-friendly operation. The results highlight a viable path to quantum-resistant, lightweight cryptography on resource-constrained devices, while outlining directions for deeper cryptanalytic validation and hardware co-design.

Abstract

Securing the Internet of Things (IoT) against quantum attacks requires public-key cryptography that (i) remains compact and (ii) runs efficiently on microcontrollers, capabilities many post-quantum (PQ) schemes lack due to large keys and heavy arithmetic. We address both constraints simultaneously with, to our knowledge, the first-ever isogeny framework that encodes super-singular elliptic-curve isogeny data via novel Engel expansions over the p-adic Laurent series. Engel coefficients compress torsion information, thereby addressing the compactness constraint, yielding public keys of ~1.1 - 16.9 kbits preserving the hallmark small sizes of isogeny systems. Engel arithmetic is local and admits fixed-precision p-adic operations, enabling micro-controller efficiency with low-memory, branch-regular kernels suitable for embedded targets.

Paper Structure

This paper contains 62 sections, 13 theorems, 31 equations, 10 figures.

Key Result

Theorem 1

The map $\phi:\mathbb{Q}_p((t))\to\mathcal{E}$ sending $f(t)$ to its Engel expansion is bijective and preserves addition, multiplication, and inversion (on $\mathbb{Q}_p((t))^\times$). Consequently $(\mathcal{E},+,\cdot)$ is a field isomorphic to $\mathbb{Q}_p((t))$.

Figures (10)

  • Figure 1: Single-Board Cryptographic Process Flow: Sequential encryption–decryption and metric collection process on an ESP32 node.
  • Figure 2: Four-Board Chain Implementation Flow: Sequential communication and acknowledgement flow among ESP32 nodes.
  • Figure 3: Timing Analysis: Encryption and decryption execution times versus message size at 80, 160, and 240 MHz. Red and blue markers denote encryption and decryption, respectively.
  • Figure 4: Frequency Scaling Efficiency: Relative execution time improvements between CPU frequencies for encryption and decryption.
  • Figure 5: Latency and computation time of the cryptographic system across three frequencies: $80$, $160$, and $240$ MHz for data sizes up to $600$ bytes. Latency dominates the total time, while computation remains nearly constant with message size, indicating that communication overhead is the primary bottleneck.
  • ...and 5 more figures

Theorems & Definitions (25)

  • Theorem 1: Engel--Field Isomorphism
  • Theorem 2: Supersingularity via $2$-Isogeny
  • Lemma 3
  • proof
  • Lemma 4: Convergence
  • proof
  • Lemma 5: Existence
  • proof
  • Lemma 6: Uniqueness
  • proof
  • ...and 15 more