地区网络边界发现方法

地区网络边界刻画了现实世界国家和地区之间在网络空间中的拓扑界限.提出了一种主被动结合的双阶段地区网络边界发现方法——RNB(regional network border).第1阶段,基于定向拓扑测量与地理定位方法发现目标地区网络边界片段;第2阶段,基于多源信息加权定位和双重PING定位在边界片段中精准发现网络边界.实验以中国网络为对象,与CAIDA数据集相比,仅以2.5%的探测代价新发现了37%的边界节点,共计1 644个.经人工验证的一致率为99.3%,经某运营商验证的准确率为75%.

Method of Discovering Regional Network Border

The regional network border describes the topological border nodes in cyberspace among countries and regions in the real world. By combining active and passive measurement techniques, this study proposes a dual-stage method of discovering regional network border (RNB) nodes. The first stage is to discover the regional network border''s candidate sets by using directed topology measurement and multi-source geolocation. The second stage is to accurately identify border nodes from the candidate sets by using multi-source information weighted geolocation and dual PING geolocation. The experiment took China as the target region and discovered 1 644 border nodes. Compared with the CAIDA data set, the proposed approach''s results have 37% of exclusively discovered border nodes with only 2.5% of the measurement cost. The accuracy rate under manual verification is 99.3%, and that under the verification of an ISP operator is 75%.