| Autor: |
Malarvizhi, N., Krishna, C. H. Sai, Kumar, J. Kranthi, Sai Kumar, P. Venkata |
| Předmět: |
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| Zdroj: |
Grenze International Journal of Engineering & Technology (GIJET); Jun2024, Vol. 10 Issue 2,Part 4, p4901-4904, 4p |
| Abstrakt: |
In the modern digital era cyber-attacks are the major concern. The major mode of these cyber-attacks is in the form of the online threats that are embedded in the URL’s. The main reason for these attacks is to gain the information illegally. To overcome this problem, we have developed an interactive platform for the people where they can check their URL’s about whether they are safe to use or not. The main purpose of the proposed digital platform is to help the people in order to find the threats that are hidden inside the URL’s. The platform requires the URL from the user as input and displays its nature whether it is good or bad. We have trained our system using Machine-Learning (ML) algorithms in order to study the input URL and compares it with the previous patterns of threats that are used while training the algorithm. The ML algorithms that we used is Support Vector Machines (SVM). This paper outlines a precise approach to threat detection and ensuring cyber safety through an interactive digital platform. This facilitates to mitigate the cyber-attacks and develops a healthy cyber space. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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