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.
Original languageEnglish
Title of host publication International Symposium on Networks, Computers and Communications (ISNCC)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
ISBN (Electronic)9798350335590
ISBN (Print)9798350335606
DOIs
Publication statusPublished - 27 Nov 2023

Publication series

Name
ISSN (Print)2472-4386
ISSN (Electronic)2768-0940

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