Privacy-preserving knowledge transfer for intrusion detection with federated deep autoencoding gaussian mixture model

• Main Authors: Chen, Yang, Zhang, Junzhe, Yeo, Chai Kiat
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Computer science and engineering; Knowledge Transfer; Privacy Preserving
• Online Access: https://hdl.handle.net/10356/163890
• Institution: Nanyang Technological University

Knowledge transfer is critical in making use of data from multi-source domains, but most existing techniques are not privacy-preserving. Nowadays, data leakage, together with the advancement of big-data-driven Artificial Intelligence, has raised huge concerns over data security. The neglect of priva...