An Autonomous Cooperative Randomization Approach to Prevent Attacks Based on Traffic Trends in the Communication Destination Anonymization Problem

Abstract

The communication destination anonymization problem is one of the problems to be resolved under some trade-offs in the cyber security field. Several approaches have been proposed for the communication destination anonymization problem such as Wang's U-TRI. However, due to the trade-offs that the user cannot take too expensive costs to make the network performance improved while keeping its security level, there remains the issues to make anonymization even over a short period of time while giving a good throughput. In this paper, we present an overview of the approach to solve this issue by introducing autonomously coordinating multiple end-hosts and a simulation environment to analyze it.