Learning representations of network traffic using deep neural networks for network anomaly detection: A perspective towards oil and gas it infrastructures
Oil and Gas organizations are dependent on their IT infrastructure, which is a small part of their industrial automation infrastructure, to function effectively. The oil and gas (O&G) organizations industrial automation infrastructure landscape is complex. To perform focused and effective studie...
| Main Authors: | Naseer, S., Ali, R.F., Dominic, P.D.D., Saleem, Y. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.29824 / |
| Published: |
MDPI AG
2020
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85096374648&doi=10.3390%2fsym12111882&partnerID=40&md5=c421af4e0981ca2a56242fc702d3eb50 http://eprints.utp.edu.my/29824/ |
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