Optimization and Implementation of Lightweight Symmetric Cryptographic Algorithms for IoT
Zhangjingyu1  Wanglei2  Liuhongwei1  Leiyang1

1 China Unicom Digital Technology Co., Ltd., Beijing, 100000;

2 China United Network Communications Group Co., Ltd, Beijing, 100000;

Abstract：There are significant differences in device resource constraints and security requirements across different application scenarios of the Internet of Things (IoT), such as industrial sensing, smart wearables, and smart homes. The traditional "one - size - fits - all" optimization model for lightweight symmetric cryptographic algorithms struggles to accurately meet scenario - specific needs. Guided by scenario characteristics as the core driving logic, this paper designs customized lightweight symmetric cryptographic optimization solutions for three typical scenarios:Industrial sensing scenario: A collaborative strategy of "parallel splitting of round functions + pre - generation of keys" is adopted to enhance encryption real - time performance, addressing the high real - time demand.Smart wearable scenario: A combined mechanism of "sleep scheduling of operation modules + dynamic adjustment of simplified rounds" is employed to reduce algorithm power consumption, targeting the low - power goal.Smart home scenario: An architecture of "elastic resource allocation" is constructed to achieve a dynamic balance between encryption efficiency and data security, catering to the demand for balanced performance.Through scenario - adaptive design, the optimized algorithms meet the core technical indicators in each scenario, providing a practical scenario - specific technical path for the cryptographic security deployment of IoT terminal devices.

Keywords: Internet of Things (IoT); Lightweight Symmetric Cryptography; Scenario - Driven; Customized Optimization; Resource Constraints; Encryption Efficiency

References

[1] Pu J W, Teng Y H, Gao Q J, et al. Lightweight Optimization Implementation of SM4 for Internet of Things[J]. Acta Electronica Sinica, 2024, 52(6): 1888-1895. DOI: 10.12263/DZXB.20230314.

[2] Li W, Ge C Y, Gu D W, et al. Research on Statistical Fault Analysis of Lightweight Cryptographic Algorithm for LED in Internet of Things Environment[J]. Journal of Computer Research and Development, 2017, 54(10): 2205-2214.[3] Kuang J L, Li L. Research on Optimized Implementation of LED Cryptographic Algorithm Based on Verilog HDL[J]. Journal of Hengyang Normal University, 2019, 40(3): 6. DOI: 10.3969/j.issn.1673-0313.2019.03.003.

[4] Cao W H. Design and Implementation of Lightweight Encryption Algorithm Based on RFID[D]. Beijing University of Technology, 2022.

[5] Wang Y, Wei G H. A Survey of Lightweight Cryptographic Algorithms Suitable for RFID[J]. Computer Applications and Software, 2017, 34(1): 7. DOI: 10.3969/j.issn.1000-386x.2017.01.002.