JSAI2019

JSAI2019

Jun 4 - Jun 7, 2019TOKI MESSE, Niigata Convention Center
The Japanese Society for Artificial Intelligence
JSAI2019

JSAI2019

Jun 4 - Jun 7, 2019TOKI MESSE, Niigata Convention Center

[3H3-E-3-01]An Autonomous Cooperative Randomization Approach to Prevent Attacks Based on Traffic Trends in the Communication Destination Anonymization Problem

〇Keita Sugiyama1, Naoki Fukuta1(1. Shizuoka University)

Keywords:

Autonomous Agent,Cooperation,Security

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.