@inproceedings{32cffc44e02a4855b8cb33e77663ede4,
title = "A Novel Intrusion Detection Scheme Using Variational Autoencoders",
abstract = "Security is a major challenge in Internet-of-Things (IoT) systems, and network intrusion detection systems (NIDS) play a key role in proposed solutions. In this paper, we propose VarSec which is a centralised unsupervised algorithm for network anomaly detection. It uses two variational autoencoders (VAEs) to process packet-level data, and combines their output to detect anomalous packets. We evaluate the performance of our proposed algorithm on a variety of attack datasets and compare it with existing solutions.",
author = "Amin, {Abia I K} and Ganesh, {A J} and Piechocki, {Robert J}",
year = "2023",
month = nov,
day = "27",
doi = "10.1109/ISNCC58260.2023.10323674",
language = "English",
isbn = "9798350335606",
publisher = "Institute of Electrical and Electronics Engineers (IEEE)",
booktitle = "International Symposium on Networks, Computers and Communications (ISNCC)",
address = "United States",
}