A novel approach to enhance the security and efficiency of binary ring-LWE for IoT resource-constrained

The rapid expansion of the Internet of Things (IoT) brings a vast proliferation of network connections. This surge in connectivity significantly increases the risk of private data exposure during transmission and processing. Traditional public key encryption schemes face considerable challenges due to their high computational complexity and vulnerability to quantum attacks. Recently, Lattice-based cryptography, particularly the Binary Ring Learning With Errors (BRLWE) paradigm, has garnered significant attention for its quantum resistance and lightweight computational requirements. However, BRLWE remains vulnerable to physical attacks, especially Side-Channel Attacks (SCA). This paper proposes a novel 3-Decomposition Karatsuba multiplication-based random shuffling scheme to enhance both the efficiency and security of BRLWE. We evaluate the security performance of our proposed scheme against quantum hybrid attacks and SCAs. We assess the performances of different Karatsuba multiplication techniques in terms of computation cost, energy consumption and memory usage to make choose which Karatsuba technique is suitable for our proposal. Our experimental results show that our proposed approach provides the lowest encryption computation time of 18.97 ms and decryption computation time of 9.53 ms compared to the BRLWE and its improved versions. Furthermore, it improves the security level while it decreases the computation time of the original BRLWE by 32.49% and 20.58%, for the encryption and decryption phases, respectively.

Mots clés

• internet of things security
• post-quantum cryptography
• lattice-based cryptography
• binary ring learning with errors
• shuffling and karatsuba multiplication