Research and analysis on hierarchical management balancing strategy of intelligent VPN in colleges and universities under hierarchical protection 2.0 background

Abstract

With the rapid development of information technology, online office and study has been applied by more and more colleges and universities, but the convenient off-campus access has brought a great threat to the network security. In order to solve this problem, this paper proposes an efficient hierarchical management balancing strategy for complex VPN under hierarchical protection 2.0. Through the process design of VPN, unified identity authentication and reverse proxy, the practical case of this strategy has been realized. The network security level of users has been significantly enhanced. In 2021, our school won the title of excellent defensive unit in the offensive and defensive exercises held by Hunan Provincial Public Security Department.

Integrating Blockchain and Deep Learning for Enhanced Mobile VPN Forensics: A Comprehensive Framework

“…Prior to exploring the machine learning-based approaches, it is crucial to be aware of the conventional approaches to VPN classification. Port-based classification or flow-based analysis and Deep Packet Inspection (DPI) are frequently used in these techniques [28]. These techniques have, however, a number of drawbacks, such as the requirement for thorough payload inspection, vulnerability to evasion strategies, and reliance on wellknown port numbers [2].…”

“…Typical supervised algorithms include support vector machines (SVMs), decision trees, neural networks, and k-nearest neighbors (k-NNs) [3]. Without labeled data, unsupervised approaches like clustering have also been used to categorize VPN traffic [28]. To further enhance classification performance and minimize annotation work, semi-supervised techniques that make use of both labeled and unlabeled data have been proposed [7].…”