Implementation of Machine and Deep Learning Algorithms for Intrusion Detection System-Reference-Cited by-同舟云学术

Implementation of Machine and Deep Learning Algorithms for Intrusion Detection System

Published:2022-07-20 Issue: Volume: Page:1-20
ISSN:2367-4512
Container-title:Intelligent Communication Technologies and Virtual Mobile Networks
language:
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Author:

Hagar Abdulnaser A.,Gawali Bharti W.

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-1844-5_1

Reference34 articles.

1. Vinayakumar R, Alazab M, Soman KP, Poornachandran P, Al-Nemrat A, Venkatraman S (2019) Deep learning approach for ıntelligent ıntrusion detection system. IEEE Access 7:41525–41550. https://doi.org/10.1109/ACCESS.2019.2895334

2. Abdulraheem MH, Ibraheem NB (2019) A detailed analysis of new intrusion detection dataset. J Theor Appl Inf Technol 97(17):4519–4537

3. Hagar AA, Chaudhary DG, Al-bakhrani ALIA, Gawali BW (2020) Big Data analytic using machine learning algorithms for intrusion detection system: a survey, vol 10, no 3, pp 6063–6084

4. Buczak AL, Guven E (2016) A survey of data mining and machine learning methods for cyber security intrusion detection. IEEE Commun Surv Tutorials 18(2):1153–1176. https://doi.org/10.1109/COMST.2015.2494502

5. Sathesh A (2019) Enhanced soft computıng approaches for intrusion. J Soft Comput Paradigm 1(2):69–79

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