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WebSHArk 1.0: A Benchmark Collection for Malicious Web Shell Detection |
Journal of Information Processing Systems. 2015;11(2):229-238. Published online 2015 April 20 DOI: https://doi.org/10.3745/JIPS.03.0026 |
A Solution for Automatically Malicious Web Shell and Web Application Vulnerability Detection CNN-Webshell Proceedings of the 2017 VI International Conference on Network, Communication and Computing. 2017;75-79 ![]() Simplistic Collection and Labeling Practices Limit the Utility of Benchmark Datasets for Twitter Bot Detection Effective analysis, characterization, and detection of malicious web pages Web Content Based Features for Malicious Web Page Detection Using Machine Learning 2022 4th International Conference on Inventive Research in Computing Applications (ICIRCA). 2022;189-193 ![]() Malicious Web Links Detection Based on Image Processing and Deep Learning Models 2024 IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT). 2024;445-449 ![]() A Survey on Current Malicious JavaScript Behavior of infected Web Content in Detection of Malicious Web pages Web-Based Android Malicious Software Detection and Classification System SmartDetect: A Smart Detection Scheme for Malicious Web Shell Codes via Ensemble Learning Malicious URL detection by dynamically mining patterns without pre-defined elements |
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