NetFlowTotal
Tzung-Han Jeng, Wei-Ming Chan, Wenyang Luo, Chuan-Chiang Huang, Chien-Chih Chen, Yiming Chen · 2019
Network security lacks the verification of real world net flow data, and lacks a platform to collect and integrate net flow data and threat intelligence, so as to generate an evaluation benchmark for machine learning on cybersecurity. NetFlowTotal develop many net flow analysis tools to detect malicious threats in the net flow data. Through the two-side market strategies, NetFlowTotal platform tie together two distinct groups of users in a network. One kind of user can upload net flow data to the NetFlowTotal platform to obtain security incidents reports; the other kind of user can share threat intelligence to the NetFlowTotal platform to obtain more associate threat intelligence according to global net flow data. The goal of this paper is to establish a net flow evaluation platform to provide real world dataset with security incidents reports for machine learning evaluation.