An Efficient Hybrid Feature Selection Technique Toward Prediction of Suspicious URLs in IoT Environment

An Efficient Hybrid Feature Selection Technique Toward Prediction of Suspicious URLs in IoT Environment

With the growth of IoT, a vast number of devices are connected to the web. Consequently, both users and devices are susceptible to deception by intruders through malicious links leading to the disclosure of personal information. Hence, it is essential to identify suspicious URLs before accessing the...

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Bibliographic Details
Main Authors: Sanjukta Mohanty, Arup Abhinna Acharya, Tarek Gaber, Namita Panda, Esraa Eldesouky, Ibrahim A. Hameed
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Boosting estimators
feature selection technique (FSTs)
genetic algorithm (GA)
Internet of Things (IoT)
suspicious URLs
Online Access:https://ieeexplore.ieee.org/document/10489965/

Internet

https://ieeexplore.ieee.org/document/10489965/

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