A Detailed Analysis of Using Supervised Machine Learning for Intrusion Detection-Reference-Cited by-同舟云学术

A Detailed Analysis of Using Supervised Machine Learning for Intrusion Detection

Published:2020 Issue: Volume: Page:629-639
ISSN:2198-7246
Container-title:Strategic Innovative Marketing and Tourism
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Author:

Ahmim Ahmed,Ferrag Mohamed Amine,Maglaras Leandros,Derdour Makhlouf,Janicke Helge

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-36126-6_70

Reference19 articles.

1. Maglaras LA, Drivas G, Noou K, Rallis S (2018) Nis directive: the case of Greece. ICST Trans Secur Saf 4:e1

2. Seker E, Ozbenli HH (2018) The concept of cyber defence exercises (cdx): planning, execution, evaluation. In: 2018 international conference on cyber security and protection of digital services (Cyber Security). IEEE, Piscataway, pp 1–9

3. Bianco LJ (2016) The inherent weaknesses in industrial control systems devices; hacking and defending SCADA systems. Ph.D. thesis, Utica College

4. Kovanen T, Nuojua V, Lehto M (2018) Cyber threat landscape in energy sector. In: ICCWS 2018 13th international conference on cyber warfare and security. Academic Conferences and Publishing Limited, Reading, p 353

5. Smith R (2018) Russian hackers reach us utility control rooms, homeland security officials say. Wall Street J 23

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