Lin Xiuchun
College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China.
Comput Intell Neurosci. 2022 Jun 21;2022:7753086. doi: 10.1155/2022/7753086. eCollection 2022.
In order to improve the network security of supply chain management based on the Internet of Things and big data, this paper studies the Internet of Things and big data technology and analyzes the data processing process of the Internet of Things. On the premise that the terminal device meets the requirements of delay and energy consumption, a data offloading encryption model is established to offload data to multiple edge servers for encryption. In addition, this paper proposes an optimization problem including overall security, delay, and equipment energy consumption and establishes a mathematical model that maximizes overall security under the condition of satisfying the requirements of delay and equipment energy consumption. From the simulation data, it can be seen that the network security technology of supply chain management based on the Internet of Things and big data proposed in this paper can achieve effective management and control of supply chain nodes and improve their information security.
为了提高基于物联网和大数据的供应链管理网络安全,本文研究了物联网和大数据技术,分析了物联网的数据处理过程。在终端设备满足延迟和能耗要求的前提下,建立了数据卸载加密模型,将数据卸载到多个边缘服务器进行加密。此外,本文提出了一个包含整体安全性、延迟和设备能耗的优化问题,并建立了一个在满足延迟和设备能耗要求的条件下最大化整体安全性的数学模型。从仿真数据可以看出,本文提出的基于物联网和大数据的供应链管理网络安全技术能够实现对供应链节点的有效管理和控制,提高其信息安全性。