MicroCrypt: High-Efficiency Hashing for Next-Generation IoT Devices

Al-Khalisy, Shatha; Abed, Wafaa; Salman, Adil; Al-Kateb, Ghada; Mijwil, Mohammed

doi:10.25673/121719

Proceedings of International Conference on Applied Innovation in IT · 2025/08/29 · Vol. 13 · Issue 4 · pp. 41–49

MicroCrypt: High-Efficiency Hashing for Next-Generation IoT Devices

Shatha H. Jafer Al-Khalisy, Wafaa M. Salih Abed, Adil M. Salman, Ghada Emad Al-Kateb, Mohammed Aljanabi and Maad M. Mijwil

📄 Download PDF DOI: 10.25673/121719

Abstract

The Internet of Things (IoT) is growing quickly and connecting more devices than ever before. This has made it more important to improve security protocols, especially cryptographic hash functions that work in places with limited computing, storage, and energy resources. This paper presents MicroCrypt, an innovative hash function developed specifically to address the unique requirements of IoT applications. This paper presents MicroCrypt, an innovative hash function developed specifically to address the unique requirements of IoT applications. While prior lightweight hash functions like SHA-256, BLAKE2s, and PHOTON have made strides, they exhibit limitations in quantum resilience, energy efficiency, and side-channel resistance. This work addresses these critical gaps by introducing MicroCrypt, a novel design optimised for the constrained and evolving demands of IoT devices. It outperforms traditional hash functions such as SHA-256, BLAKE2s, SHA-3, and MD5 in several key performance metrics, including processing speed, memory efficiency, and energy consumption. It outperforms traditional hash functions such as SHA-256, BLAKE2s, SHA-3, and MD5 in several key performance metrics, including processing speed, memory efficiency, and energy consumption. Our comprehensive comparative analysis indicates that MicroCrypt reduces processing time by about 40%, decreases memory usage by nearly 30%, and cuts energy consumption by approximately 35% when compared with the most efficient of these conventional functions. Additionally, MicroCrypt enhances security features, offering robust resistance against a variety of cryptographic attacks, which ensures exceptional data confidentiality and integrity. These improvements make MicroCrypt an excellent prospect for ongoing research and potential standardisation in post-quantum cryptography within IoT environments. The findings of this study underline MicroCrypt's significance as a groundbreaking advancement in cryptographic technology, specifically tailored to meet the evolving demands of next-generation IoT devices. This aligns with the critical need for secure, efficient, and scalable security solutions in the increasingly complex IoT landscape.

Keywords

Cryptographic Hash Function Quantum Resistance Encryption MicroCrypt.

References

M. Padmashree, J. Arunalatha, and K. Venugopal, “Ebasket ECC blended authentication and session key establishment technique for IoT,” Int. J. Innovative Technol. Exploring Eng., vol. 10, no. 11, pp. 20–28, 2021, doi: 10.35940/ijitee.k9461.09101121.
S. Han, K. Xu, Z. Zhu, S. Guo, H. Liu, and Z. Li, “Hash-based signature for flexibility authentication of IoT devices,” Wuhan Univ. J. Natural Sci., vol. 27, no. 1, pp. 1–10, 2022, doi: 10.1051/wujns/2022271001.
S. Hakeem, S. El-Kader, and H. Kim, “A key management protocol based on the hash chain key generation for securing LoRaWAN networks,” Sensors, vol. 21, no. 17, p. 5838, 2021, doi: 10.3390/s21175838.
M. Al-Shatari, F. Hussin, A. Aziz, G. Witjaksono, and X. Tran, “FPGA-based lightweight hardware architecture of the PHOTON hash function for IoT edge devices,” IEEE Access, vol. 8, pp. 207610–207618, 2020, doi: 10.1109/ACCESS.2020.3038219.
S. Kumari, M. Singh, R. Singh, and H. Tewari, “To secure the communication in powerful Internet of Things using innovative post-quantum cryptographic method,” Arab. J. Sci. Eng., vol. 47, no. 2, pp. 2419–2434, 2021, doi: 10.1007/s13369-021-06166-6.
A. Esfahani, G. Mantas, R. Matischek, F. Saghezchi, J. Rodríguez, A. Bicaku, et al., “A lightweight authentication mechanism for M2M communications in industrial IoT environment,” IEEE Internet Things J., vol. 6, no. 1, pp. 288–296, 2019, doi: 10.1109/JIOT.2017.2737630.
M. Ahmed, S. Lee, and Y. Peker, “Physical unclonable function and hashing are all you need to mutually authenticate IoT devices,” Sensors, vol. 20, no. 16, p. 4361, 2020, doi: 10.3390/s20164361.
S. Windarta, K. Ramli, B. Pranggono, and T. Gunawan, “Lightweight cryptographic hash functions: design trends, comparative study, and future directions,” IEEE Access, vol. 10, pp. 82272–82294, 2022, doi: 10.1109/ACCESS.2022.3195572.
H. Li et al., “Efficient and lightweight hash function for IoT devices,” IEEE Internet Things J., 2021, doi: 10.1109/JIOT.2021.3100467.
Y. Wang et al., “Secure and lightweight hash-based authentication protocol for IoT devices,” Sensors, 2020, doi: 10.3390/s20164567.
M. Aziz, A. Khan, J. Shuja, I. Khan, F. Khan, and A. Khan, “A lightweight and compromise-resilient authentication scheme for IoTs,” Trans. Emerg. Telecommun. Technol., vol. 33, no. 3, 2019, doi: 10.1002/ett.3813.
G. Al-Kateb, M. Aljanabi, and I. Khaleel, “CryptoGenSec: A hybrid generative AI algorithm for dynamic cryptographic cyber defence,” Mesopotamian J. CyberSecurity, vol. 4, no. 3, pp. 22–35, 2024.
J. Kim et al., “Efficient hash function design for IoT devices with limited resources,” IEEE Trans. Ind. Informat., 2020, doi: 10.1109/TII.2020.2977321.
A. S. Al-Azzawi, “Cognitive and adaptive cryptography: deep learning-driven secure communication framework,” Shifra J. Sci. Technol., vol. 2, no. 1, pp. 45–60, 2025.
T. Wu et al., “A lightweight hash-based authentication scheme for IoT networks,” Future Gener. Comput. Syst., 2020, doi: 10.1016/j.future.2020.06.019.