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Xiaobo Tan, Yingjie Xu, Tong Wu and Bohan Li
Cross-site scripting vulnerability (XSS) is one of the most frequently exploited and harmful vulnerabilities among web vulnerabilities. In recent years, many researchers have used different machine learning methods to detect network attacks, but these me...
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Jahanzeb Shahid, Muhammad Khurram Hameed, Ibrahim Tariq Javed, Kashif Naseer Qureshi, Moazam Ali and Noel Crespi
The growing use of the internet has resulted in an exponential rise in the use of web applications. Businesses, industries, financial and educational institutions, and the general populace depend on web applications. This mammoth rise in their usage has ...
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?.?. Yudova,Olga R. Laponina
Pág. 61 - 68
This article is devoted to the analysis of the possibility of detecting attacks on web applications using machine learning algorithms. Supervised learning is considered. A sample of HTTP DATASET CSIC 2010 is used as a data set. The dataset was automatica...
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Yong Fang, Cheng Huang, Yijia Xu and Yang Li
With the development of artificial intelligence, machine learning algorithms and deep learning algorithms are widely applied to attack detection models. Adversarial attacks against artificial intelligence models become inevitable problems when there is a...
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Artem S. Merkulov,Olga R. Laponina
Pág. 59 - 70
The object of the study is a web-based online payment company Payture, which cooperates with large companies and banks. Payture acts as a payment gateway between merchants, banks and payment systems, offering a flexible integration API. This paper analyz...
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