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TTEA: designing a quantum-ready and energy-conscious encryption model for secure IoT environments
Mahmoud A Abdelaal1, Abdellatif I Moustafa2, H Saleh3
1Engineering Department, Nuclear Research Center, Egyptian Atomic Energy Authority, Cairo, Egypt. mahmoud.abulsoud@eaea.org.eg.
This study introduces the Two-Stage Encryption Approach (TTEA), an IoT-optimized cryptographic framework. TTEA enhances security and efficiency, outperforming traditional methods in energy consumption and speed for resource-constrained devices.
Area of Science:
- Cryptography and Network Security
- Internet of Things (IoT) Security
- Embedded Systems
Background:
- Resource-constrained IoT devices face challenges balancing security needs with hardware limitations.
- Existing lightweight encryption algorithms like TEA and Speck have vulnerabilities and high overhead.
- There is a critical need for secure yet energy-efficient cryptographic solutions for IoT.
Purpose of the Study:
- To present the Two-Stage Encryption Approach (TTEA), a novel cryptographic framework designed for IoT environments.
- To address the trade-off between robust security and hardware constraints in IoT devices.
- To offer a validated solution for secure and energy-efficient IoT deployments.
Main Methods:
- Developed TTEA featuring a [Formula: see text] bit-sliced S-box for diffusion and differential attack resistance.
- Implemented an adaptive key scheduling mechanism adjusting complexity based on device power states.
- Evaluated TTEA on IoT platforms (ESP32, Raspberry Pi) and performed security analyses.
Main Results:
- TTEA reduced energy consumption by 39% and memory by 40% compared to TEA.
- Achieved 20% faster execution speeds and demonstrated a 48.5% avalanche effect.
- Confirmed resilience against cryptanalysis, side-channel attacks, and quantum threats (with CRYSTALS-Kyber).
Conclusions:
- TTEA provides a significant improvement in energy efficiency and performance for IoT devices.
- The framework offers robust security, including post-quantum resilience.
- TTEA effectively bridges the gap between advanced security requirements and the limitations of IoT hardware.
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