Exploring the influence of the choice of prior of the Variational Auto-Encoder on cybersecurity anomaly detection

Author:

Yang Tengfei1ORCID,Qiao Yuansong1ORCID,Lee Brian1ORCID

Affiliation:

1. Software Research Institute, Technological University of the Shannon:Midlands Midwest, Ireland

Funder

Technological University of the Shannon

Hormeon Europe Framework Program

Publisher

ACM

Reference25 articles.

1. Mingtian Zhang, Tim Z Xiao, Brooks Paige, and David Barber. 2022. Improving vae-based representation learning. arXiv preprint arXiv:2205.14539 (2022).

2. Priors in Bayesian Deep Learning: A Review

3. Vincent Fortuin, Adrià Garriga-Alonso, Sebastian W. Ober, Florian Wenzel, Gunnar Rätsch, Richard E. Turner, Mark van der Wilk, and Laurence Aitchison. 2022. Bayesian Neural Network Priors Revisited. arxiv:2102.06571 [stat.ML]

4. A holistic review of Network Anomaly Detection Systems: A comprehensive survey

5. Learning Latent Distribution for Distinguishing Network Traffic in Intrusion Detection System

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