电子科技2026，Vol.39Issue(8)：1-8,8.DOI:10.16180/j.cnki.issn1007-7820.2026.08.001
改进轻量级AES算法的充电桩数据加密研究
Research on Charging Pile Data Encryption by Improving Lightweight AES Algorithm
摘要
Abstract
In view of the problems of malicious attacks and data leakage in the data transmission process of charging piles and the limited resources of their embedded devices,an improved lightweight AES(Advanced En-cryption Standard)data encryption method for charging piles is proposed.Based on the standard AES,improve-ments have been made in two aspects:simplifying the S-box and enhancing column obfuscation efficiency,reduc-ing device resource occupation and improving encryption efficiency.Logistic mapping is introduced to generate cha-otic keys with higher security,avoiding the brute-force cracking of fixed keys in a short period of time.The test re-sults of the charging pile show that the lightweight AES performs well in terms of encryption time,memory consump-tion and avalanche effect.The encryption time of lightweight AES is 25.19 percentage points lower than that of stan-dard AES and 36.92 percentage points lower than that of 3DES(Triple Data Encryption Standard).The space occu-pied by the program memory is 24.24 percentage points less than that of standard AES and 29.61 percentage points less than that of 3DES.The space occupied by dynamic memory is 54.83 percentage points lower than that of stan-dard AES and 56.59 percentage points lower than that of 3DES.The avalanche effect,balance standard and key se-curity have all been improved.The results show that lightweight AES has good performance and security in the data encryption of charging piles.关键词
充电桩/数据安全/AES加密算法/轻量化/Logistic映射/内存消耗/优化/加密效率Key words
charging pile/data security/AES encryption algorithm/lightweight/Logistic map/memory con-sumption/optimization/encryption efficiency分类
信息技术与安全科学引用本文复制引用
金廷宇,程航飞,张健,沈星宇,朱金荣..改进轻量级AES算法的充电桩数据加密研究[J].电子科技,2026,39(8):1-8,8.基金项目
国家自然科学基金(62375234) （62375234）
扬州大学研究生科研与实践创新计划(SJCX23_1892)National Natural Science Foundation of China(62375234) （SJCX23_1892）
Graduate Research and Practice Innovation Program of Yangzhou University(SJCX23_1892) （SJCX23_1892）
