Detecting Cross-Site Scripting Attacks Using Machine Learning-Reference-Cited by-同舟云学术

Detecting Cross-Site Scripting Attacks Using Machine Learning

Published:2018 Issue: Volume: Page:200-210
ISSN:2194-5357
Container-title:The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018)
language:
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Author:

Mereani Fawaz A.^ORCID,Howe Jacob M.^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-74690-6_20

Reference25 articles.

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2. Aebersold, S., Kryszczuk, K., Paganoni, S., Tellenbach, B., Trowbridge, T.: Detecting obfuscated JavaScripts using machine learning. In: International Conference on Internet Monitoring and Protection. IARIA Press (2016)

3. Balzarotti, D., Cova, M., Felmetsger, V., Vigna, G.: Multi-module vulnerability analysis of web-based applications. In: Computer and Communications Security, pp. 25–35. ACM Press (2007)

4. Domingos, P.: A few useful things to know about machine learning. Commun. ACM 55(10), 78–87 (2012)

5. Fernandez, K., Pagkalos, D.: XSS (Cross-Site Scripting) information and vulnerable websites archive. XSSed.com . Accessed 14 June 2017

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