Path Generation Method of Anti-Tracking Network based on Dynamic Asymmetric Hierarchical Architecture
Zhefeng Nan, Qi Wang, Changbo Tian, Yijing Wang, Tianning Zang, Dongwei Zhu · 2024
The continuous advancement of digital processes has significantly increased the risk to users’ data privacy. To protect private data, it is crucial to provide anonymous, anti-tracking secure communication services. However, Existing anti-tracking data transmission technologies has problems such as centralized node, unstable links, low transmission efficiency, and vulnerable static transmission, which fail to meet users’ privacy and security requirements. This paper proposes a dynamic asymmetric hierarchical architecture path generation method(DAHP) for anti-tracking network. The method adopts a hierarchical architecture design, comprising a Secure Access Layer responsible for link construction and a Secret Transmission Layer handling the actual transmission. A node hybrid selection strategy, combined with a dynamic asymmetric path generation strategy, minimizes the risk of node exposure and enables dynamic variation in path generation. The efficacy of the DAHP method is validated through extensive testing on representative network and existing path generation methods. Experimental results demonstrate that the proposed method exhibits superior scalability and anti-tracking performance.