机译:Online Privacy-Preserving Data-Driven Network Anomaly Detection
Department of Electrical Engineering, Columbia University, New York, NY, USA;
Department of Electrical Engineering, University of South Florida, Tampa, FL, USA;
MathWorks, Natick, MA, USA;
Peer-to-peer computing; Data models; Anomaly detection; Distributed databases; Privacy; Approximation algorithms; Computational modeling; Network anomaly detection; online; data-driven; distributed differential privacy; privacy-anomaly detection tradeoff;