Lightweight approach for malicious domain detection using machine learning

The web-based attacks use the vulnerabilities of the end users and their system and perform malicious activities such as stealing sensitive information, injecting malwares, redirecting to malicious sites without their knowledge. Malicious website links are spread through social media posts, emails a...

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Bibliographic Details

Published in:	Nauchno-tekhnicheskiĭ vestnik informat͡s︡ionnykh tekhnologiĭ, mekhaniki i optiki Vol. 22; no. 2; pp. 262 - 268
Main Authors:	Pradeepa, G., Devi, R.
Format:	Journal Article
Language:	English
Published:	ITMO University 01.12.2024
Subjects:	вредоносный домен выбор признаков кибербезопасность лексические признаки машинное обучение опорный вектор случайный лес
ISSN:	2226-1494, 2500-0373
Online Access:	Get full text
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