A Novel Method to Prevent Traffic Analysis in Low-Latency Anonymous Communication Systems

Compared with traditional anonymous communication systems, the low-latency anonymous communication system can provide more practical services. However, because of its low latency, the anonymity is subject to traffic analysis attack. In this paper, we take Tor, a low-latency anonymous communication network as an example and present an improved algorithm of queue scheduling and resource allocation for anonymous communication systems. Experiment shows that through this simple priority-queue scheduling and resource allocation strategy, we can solve latency increase caused by resource exclusion effectively. This improvement not only optimizes the overall performance of the anonymous communication network, but also increases anonymity of the network.