Research on information security user behavior path of agricultural logistics industrial park under big data environment
Xiaolan Hu, Xinyue He · 2021 2nd International Conference on Information Science and Education (ICISE-IE) · 2021
With the development of digital and information technology in logistics industry, big data has become one of the most important Means of production in logistics industry. It brings new impetus to the development of the logistics industry, but it also brings some challenges to the information security, especially the logistics industrial park which is supported by the information platform. This paper takes agricultural logistics industrial park as an example to analyze its information demand and information structure. And on this basis, through constructing the supply chain model in the logistics industrial park, TSP algorithm is used to solve the shortest path of the logistics business in the supply chain, its logistics operation must rely on the original supply chain shortest path structure. Taking the user behavior behind the logistics information security management as the carrier object, this paper constructs the variation user behavior entropy TSP model. The information security problem of the network is abstracted as the shortest path that does not repeatedly connect all nodes. Based on this, the user behavior path is simulated and optimized, and relevant conclusions are drawn.