Machine Learning for Web Vulnerability Detection: The Case of Cross-Site Request Forgery

N. Sravani; O.Sai Raju; Ch.Harish; B.Anil Kumar; S.Anirudh

doi:10.59256/ijsreat.20240401005

Research Article

Machine Learning for Web Vulnerability Detection: The Case of Cross-Site Request Forgery

Paper ID 105
Volume 4, Issue 1
Pages 26-29
Published Online: January-February 2024
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Authors

N. Sravani¹
O.Sai Raju²
Ch.Harish³
B.Anil Kumar⁴
S.Anirudh⁵

¹Assistant professor, Department of Information Technology, CMR Engineering College (UGC Autonomous), Hyderabad, Telangana, India. ²,³,⁴,⁵ B.Tech IV-Year, Department of Information Technology, CMREC, (UGC Autonomous), Hyderabad, Telangana, India.

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Article Information

DOI: https://www.doi.org/10.59256/ijsreat.20240401005
Published In: Volume 4, Issue 1 (2024)
Published Online: January-February 2024
Pages: 26-29
Article Type: Research Article
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Citations

N. Sravani1, O.Sai Raju2, Ch.Harish3, B.Anil Kumar4, S.Anirudh5, “Machine Learning For Web Vulnerability Detection: The Case of Cross-Site Request Forgery”, International Journal of Scientific Research in Engineering & Technology Volume 04, Issue 01, January-February 2024, PP: 26-29.

Machine Learning for Web Vulnerability Detection: The Case of Cross-Site Request Forgery

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