Mitigate: An Adaptive Network Data Anonymization Tool Using Condensation-Based Differential Privacy
George Karabatis, Zhiyuan Chen, Ahmed F. AlEroud · 2022
Modern network devices collect a large amount of data that can be analyzed to identify bottlenecks, anomalies, cyber-attacks, etc.Therefore, there is often a need to analyze such collections of network data quite often by an external expert or by the research community.However, these collections of data contain sensitive, proprietary information.In order for the network data to be shared, it must first be anonymized.