BL-IDS: Detecting Web Attacks Using Bi-LSTM Model Based on Deep Learning-Reference-Cited by-同舟云学术

BL-IDS: Detecting Web Attacks Using Bi-LSTM Model Based on Deep Learning

Published:2019 Issue: Volume: Page:551-563
ISSN:1867-8211
Container-title:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
language:
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Author:

Hao Saiyu,Long Jun,Yang Yingchuan

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-21373-2_45

Reference16 articles.

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2. Garcia, T.P., Diaz, V.J., Macia, F.G., et al.: Anomaly-based network intrusion detection: techniques, systems and challenges. Comput. Secur. 28(1), 18–28 (2009)

3. OWASP. https://www.owasp.org/index.php/SQL_Injection_Bypassing_WAF

4. Lupták, P.: Bypassing Web application firewalls. In: Proceedings of 6th International Scientific Conference on Security and Protection of Information, pp. 79–88 (2011)

5. Schuster, M., Paliwal, K.K.: Bidirectional recurrent neural networks. IEEE Trans. Signal Process. 45(11), 2673–2681 (1997)

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