An effectual mechanism for injected vulnerability scrutiny of web application using hybrid aco algorithm

Author:

Rahmansait Rokaya Shafrin,Lazar Jabasheela

Publisher

AIP Publishing

Reference10 articles.

1. Lilan hu, Jie Chang, Ze Chen and Batao Hou, “web application vulnerability detection method based on machine learning”, Journal of physics, in 2021.

2. Wenrui Wang, Fan Shi, Min Zhang, Chengxi Xu, and Jinghua Zheng, “A Vulnerability Risk Assessment Method Based on Heterogeneous Information Network”, IEEE ACCESS, 10th August 2020.

3. Zhen Li, Deqing Zou, Jing Tang, Zhihao Zhang, Mingqian Sun, and Hai Jin, “A Comparative Study of Deep Learning-Based Vulnerability Detection System”, IEEE ACCESS, 23rd July 2019.

4. Julian Thome, Lwin Khin Shar, Domenico Bianculli, Lionel Briand, “Security Slicing for Auditing Common Injection Vulnerabilities”, The Journal of Systems & Software, JSS 9927, University of Luxembourg, 24 February 2017.

5. Vignesh M,kumar K, “web application vulnerability prediction using machine learning”, The journal of scientific & engineering, 5 May 2017.

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