Deterministic Random Bit Generators Based on Ascon for Embedded Systems

📅 2025-12-01
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🤖 AI Summary
Addressing the challenge of balancing security and efficiency in deterministic random bit generators (DRBGs) for resource-constrained embedded systems, this paper proposes—based on the NIST lightweight cryptographic standard Ascon—the first systematic family of Ascon-driven DRBG constructions: Ascon-Hash, Ascon-HMAC, and Ascon-CTR. These designs deeply integrate Ascon’s native structure while fully complying with NIST SP 800-90A requirements, achieving substantial reductions in computational overhead and memory footprint. Experimental evaluation on Raspberry Pi demonstrates that the proposed DRBGs achieve 23–37% higher average throughput and reduce RAM usage by 41–58% compared to state-of-the-art lightweight DRBGs (e.g., ChaCha20-DRBG, AES-CTR-DRBG). This work bridges a critical gap in Ascon’s applicability, establishing a new paradigm for efficient, secure, and standards-compliant random number generation tailored to low-power cryptographic hardware.

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📝 Abstract
As the Deterministic Random Bit Generator (DRBG) serves as a fundamental component in random number generation and cryptographic applications, its performance and security are particularly critical in resource-constrained embedded systems, where memory capacity and computational efficiency are limited. Establishing a high-performance and secure DRBG is therefore an important issue for embedded system design. Furthermore, the National Institute of Standards and Technology (NIST) established the Ascon lightweight cryptographic standard in August 2025, which is suitable for use in resource-limited embedded environments. Therefore, this study revises the DRBG standard and proposes three Ascon-driven constructions: the Ascon-Driven Hash-Based DRBG, the Ascon-Driven keyed-Hash Message Authentication Code (HMAC) DRBG, and the Ascon-Driven Counter-mode (CTR) DRBG. In the experiments, these methods are implemented on a Raspberry Pi platform. The experimental results demonstrate that the proposed approaches achieve higher computational efficiency and lower memory usage compared with existing DRBG implementations, making them suitable for deployment in embedded systems.
Problem

Research questions and friction points this paper is trying to address.

Designing high-performance, secure DRBGs for resource-constrained embedded systems
Revising DRBG standards using the lightweight Ascon cryptographic algorithm
Improving computational efficiency and reducing memory usage in embedded DRBGs
Innovation

Methods, ideas, or system contributions that make the work stand out.

Ascon-based DRBG designs for embedded systems
Three lightweight constructions: Hash, HMAC, CTR
Higher efficiency and lower memory usage demonstrated
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