A Data Encoding Method for Multipath Anonymous Transmission
Zhihan Tan, Yaya Huang, Yixing Chen, Yuqiang Zhang, Jincai Zou, Ning Hu · 2022
Nowadays, with the development of Internet communication, multipath transfer technology has been widely used in heterogeneous network communication. Multipath transfer technology enables efficient data transmission through multiple transmission paths to achieve the effect of aggregated bandwidth. However, traditional anonymous communication networks, such as Tor, I2P, etc., are single streams of data transmission. In the process of data transmission, it is easy to become the target of attacker’s listening, which makes the data easy to be damaged or even intercepted by the attacker, and cannot realize the requirement of secure, efficient and reliable data transmission. Therefore, this paper proposes an anonymous multipath transfer method based on data network coding. First, in the paper we propose a mathematical model for coding based on a circulant matrix. This model is about 80% more efficient in coding flexibility and coding/decoding efficiency compared with Galois Field (GF), and the redundant coding can tolerate 50% of packet loss. Second, a new multipath transfer mechanism is proposed in combination with data network coding, which can effectively avoid anonymity attacks. Finally, through simulation experimental tests, the results show that the method can effectively improve the reliability of data transmission in anonymous communication networks.