Intelligent Logistics Management System Based On Improved AES Algorithm

• Published in: Procedia computer science Vol. 243; pp. 882 - 890
• Main Authors: Li, Lu, Song, Yaxun
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 2024
• Subjects: AES Algorithm Optimization; Intelligent Logistics Management System; Logistics Efficiency Improvement; Mobile E-Commerce; User Privacy Protection; Mobile E-Commerce; Intelligent Logistics Management System; AES Algorithm Optimization; User Privacy Protection; Logistics Efficiency Improvement
• ISSN: 1877-0509; 1877-0509
• DOI: 10.1016/j.procs.2024.09.106

With the rapid development of China's economy and information technology, the Internet has penetrated into People's Daily life, especially with the rise of mobile e-commerce, online shopping has become a convenient, fast, cost-effective consumption mode. However, this convenience also brings challenges to the logistics industry, mainly in terms of user privacy and logistics efficiency. In order to solve these challenges, an intelligent logistics management system based on improved AES algorithm is designed to improve the quality and efficiency of logistics services. The system includes a new logistics management system and a pick-up verification APP. By using AES algorithm to encrypt order information, generate order QR code, and realize goods tracking, the system effectively protects user privacy and improves the efficiency of logistics services. In order to enhance the security, this research also combines the chaotic system to generate random keys and encrypts the order information with AES algorithm, which fundamentally solves the security problem of AES algorithm. The new logistics management system has greatly improved the logistics efficiency and reduced the logistics cost by automatically generating the pick-up number and sending the pick-up short message using the instant communication technology. The pick-up verification APP further strengthens the security and timeliness of pick-up, and provides practical significance for the development of logistics enterprises. These research results have important implications for promoting the development of intelligent logistics management system, and provide new ideas and inspirations for the research and application of related fields.