Study on Network Security Based on PCA and BP Neural Network Under Green Communication

作者：Fengchun Liu, Wenjie Huo, Yang Han, Shichao Yang, Xiaoyu Li · 发表于：IEEE Access · 年份：2020 · DOI：10.1109/access.2020.2981490 · 被引用次数：24 · 研究领域：Network Security and Intrusion Detection、Advanced Data and IoT Technologies、Biometric Identification and Security

In response to the energy consumption caused by the exponential growth of mobile network capacity demand, the Chen Shanzhi team proposed a user-centric ultra-dense network. It dynamically organizes multiple access nodes into a group of access nodes centered on the user. It can “accompany” user services without perception. The result is increased system capacity and user experience. This paper systematically analyzes the key security issues of user-centric ultra-dense networks. Based on the security characteristics of the access node group, a security system adapted to the user-centered ultra-dense network architecture is designed. Aiming at the problem of data security transmission between network entities, a lightweight data security transmission algorithm based on implicit certificate is proposed. The algorithm uses a lightweight implicit certificate to generate a temporary session key by means of a reconfigurable public-private key pair, so as to encrypt and protect the transmitted data, and solve the problem of data security transmission when the access nodes cooperate. The simulation shows that the algorithm consumes 34kB less on average than the traditional key method in different scenarios, and the speed is fast and the encryption key remains stable. At the same time, it also saves storage space and can be conveniently applied to access nodes with limited resources. Then, aiming at the network information security problem, an information security detection method based...