Majority Voting Ensemble Classifier for Detecting Keylogging Attack on Internet of Things

Majority Voting Ensemble Classifier for Detecting Keylogging Attack on Internet of Things

An intrusion attack on the Internet of Things (IoT) is any malicious activity or unauthorized access that jeopardizes the integrity and security of IoT systems, networks, or devices. Regarding IoT, intrusions can result in severe problems, including service disruption, data theft, privacy violations...

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Bibliographic Details
Main Authors: Yahya Alhaj Maz, Mohammed Anbar, Selvakumar Manickam, Shaza Dawood Ahmed Rihan, Basim Ahmad Alabsi, Osama M. Dorgham
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Convolutional neural network
Internet of Things
intrusion detection system
keylogging attacks
long short-term memory network
recurrent neural network
Online Access:https://ieeexplore.ieee.org/document/10419360/

Internet

https://ieeexplore.ieee.org/document/10419360/

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