The use of machine learning algorithms for detecting advanced persistent threats-Reference-Cited by-同舟云学术

The use of machine learning algorithms for detecting advanced persistent threats

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 12th International Conference on Security of Information and Networks - SIN '19
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Author:

Eke Hope Nkiruka¹,Petrovski Andrei¹,Ahriz Hatem¹

Affiliation:

1. Robert Gordon University, Aberdeen, Scotland, UK

Publisher

ACM Press

Reference36 articles.

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3. Luca Albergante. 2008. Wireless discussion forums: Automatic management via artificial immune systems. In Performance Evaluation of Computer and Telecommunication Systems, 2008. SPECTS 2008. International Symposium on. IEEE, 74--81.

4. Abdelrahman Ayad, Mohsen Khalaf, and Ehab El-Saadany. 2018. Detection of false data injection attacks in automatic generation control systems considering system nonlinearities. In 2018 IEEE Electrical Power and Energy Conference (EPEC). IEEE, 1--6.

5. BJ Bejoy and S Janakiraman. 2017. Artificial immune system based intrusion detection systems - a comprehensive review. Int J Comput Eng Technol 8, 1 (2017), 85--95.

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