Hybrid Approach for Improving Intrusion Detection Based on Deep Learning and Machine Learning Techniques-Reference-Cited by-同舟云学术

Hybrid Approach for Improving Intrusion Detection Based on Deep Learning and Machine Learning Techniques

Published:2020 Issue: Volume: Page:225-236
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Gamal Merna,Abbas Hala,Sadek Rowayda

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-44289-7_22

Reference25 articles.

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2. Abdullah, B., Abd-Alghafar, I., Salama, G.I., Abd-Alhafez, A.: Performance evaluation of a genetic algorithm based approach to network intrusion detection system. In: 13th International Conference on Aerospace Sciences and Aviation Technology (ASAT), 26–28 May 2009 (2009)

3. Ashoor, A.S., Gore, S.: Importance of intrusion detection system (IDS). Int. J. Sci. Eng. Res. 2(1), 1–4 (2011)

4. Modi, C.N., Acha, K.: Virtualization layer security challenges and intrusion detection/prevention systems in cloud computing: a comprehensive review. J. Supercomput. 73(3), 1–43 (2016)

5. Louridas, P., Ebert, C.: Machine learning. IEEE Softw. 33(5), 110–115 (2016)

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