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About Malicious URL Detection Using Machine Learning: A Survey: Doyen Sahoo, Chenghao Liu, Steven C.H. Hoi
This document summarizes a survey on detecting malicious URLs using machine learning. It introduces malicious URLs as a cybersecurity threat, describes how machine learning techniques have been used to improve upon traditional blacklist-based detection, and categorizes and reviews literature on different aspects of formulating URL detection as a machine learning problem, such as feature representation and algorithm design. The survey also discusses practical system design issues, open challenges, and directions for future research to help both academics and industry understand the state of the art in machine learning for malicious URL detection.
Detailed Information
| Author: | ['Habtamu Hailemariam Asfaw'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 2 |
| Language: | English |
| Format: | |
| Price: | FREE |
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