作者
Needa Iffath, Upendra Kumar Mummadi, Fahmina Taranum, Syed Shabbeer Ahmad, Imtiyaz Khan, D Shravani
发表日期
2024/2/20
期刊
AIP Conference Proceedings
卷号
3007
期号
1
出版商
AIP Publishing
简介
A malicious website, often known as a malicious URL, is a platform considering hosting unwanted content including spam, harmful advertisements, and dangerous websites. It is crucial towards quickly identify dangerous URLs. Blacklisting, regular expression, & signature matching techniques have all been employed in earlier investigations. These methods are utterly useless considering identifying new URLs, malicious URL variants, or URLs that have never been seen before. Machine learning-based solution that has been suggested can help towards solve this problem. Considering this kind about solution, indepth study about feature engineering & feature representation about security artifact types, such as URLs, is necessary. Additionally, resources considering feature engineering & feature representation must be continuously improved towards support variations about current URLs or completely new URLs …
引用总数
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