人工知能学会全国大会論文集
Online ISSN : 2758-7347
33rd (2019)
セッションID: 3H3-E-3-01
会議情報

An Autonomous Cooperative Randomization Approach to Prevent Attacks Based on Traffic Trends in the Communication Destination Anonymization Problem
*Keita SUGIYAMANaoki FUKUTA
著者情報
会議録・要旨集 フリー

詳細
抄録

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.

著者関連情報
© 2019 The Japanese Society for Artificial Intelligence
前の記事 次の記事
feedback
Top