Mar 24, 2023 · In this paper, we propose a next-generation algorithm for extended design attribute learning that learns and analyzes web page structures, content, appearances ...
Oct 17, 2022 · In this paper, we propose a next-generation algorithm for extended design attribute learning that learns and analyzes web page structures, ...
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In this paper, we propose a next-generation algorithm for extended design attribute learning that learns and analyzes web page structures, content, appearances, ...
In this paper, we propose a next-generation algorithm for extended design attribute learning that learns and analyzes web page structures, content, appearances, ...
This study shows that straightforward machine learning models for categorizing Crack and Malicious websites can considerably benefit from using design features.
... learning of design attributes for malicious website identification. In this study, we propose a next-generation algorithm for extended design attribute learning ...
Machine learning techniques have been proposed as an effective tool in tracking malicious URLs as they could be used to find malicious websites even if they ...
Sep 8, 2023 · This study aims to develop models based on machine learning algorithms for the efficient identification and classification of malicious URLs.
[PDF] Malicious website detection through Deep Learning algorithms
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This article aims to design a system that blocks malicious website attacks by identifying possible malicious web pages. Moreover, the work parts from existing ...
Jul 24, 2024 · This paper presents a robust and efficient model for the detection of various types of malicious websites with high accuracy in the process. The ...