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...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Published: |
MDPI AG
2020
|
| 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/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|