Restriction of Forgery Attacks using AntiForgery Token in Machine Learning

Bhagath Gopinath, B. Latha · 2021 International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA) · 2021

Recently, Network Forgery attacks were used to happen to steal and modify data in applications. As a result, most of the sensitive applications went wrong and was badly affected by malicious users. In this paper, we address this problem by using AntiForgery token using Machine Learning.NET to restrict Cross site request forgery from malicious users.

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