Majority Voting Ensemble Classifier for Detecting Keylogging Attack on Internet of Things-Reference-Cited by-同舟云学术

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

Published:2024 Issue: Volume:12 Page:19860-19871
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Maz Yahya Alhaj¹,Anbar Mohammed¹^ORCID,Manickam Selvakumar¹,Rihan Shaza Dawood Ahmed²,Alabsi Basim Ahmad²^ORCID,Dorgham Osama M.³

Affiliation:

1. National Advanced IPv6 Center (NAv6), Universiti Sains Malaysia (USM), Penang, Malaysia

2. Applied College, Najran University, Najran, Saudi Arabia

3. School of Computing, Skyline University College, University City of Sharjah, Sharjah, United Arab Emirates

Funder

Deanship of Scientific Research at Najran University under the General Research Funding Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10419360.pdf?arnumber=10419360

Reference32 articles.

1. Internet of things security: A top-down survey

2. Internet of Things (IoT) communication protocols: Review

3. Development of Smart Healthcare Monitoring System in IoT Environment

4. Analysis of Three IoT-Based Wireless Sensors for Environmental Monitoring

5. A systematic literature review on attacks defense mechanisms in RPL-based 6LoWPAN of Internet of Things

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