Latent Semantic Analysis and Graph Theory for Alert Correlation: A Proposed Approach for IoT Botnet Detection-Reference-Cited by-同舟云学术

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Latent Semantic Analysis and Graph Theory for Alert Correlation: A Proposed Approach for IoT Botnet Detection

Published:2024 Issue: Volume:5 Page:3904-3919
ISSN:2644-125X
Container-title:IEEE Open Journal of the Communications Society
language:
Short-container-title:IEEE Open J. Commun. Soc.

Author:

Lefoane Moemedi¹^ORCID,Ghafir Ibrahim¹,Kabir Sohag¹^ORCID,Awan Irfan-Ullah¹,El Hindi Khalil²^ORCID,Mahendran Anand³

Affiliation:

1. Faculty of Engineering and Digital Technologies, University of Bradford, Bradford, U.K.

2. College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia

3. School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India

Funder

Researchers Supporting Project, King Saud University, Riyadh, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/8782661/10362961/10571994.pdf?arnumber=10571994

Reference44 articles.

1. An Advanced Computing Approach for IoT-Botnet Detection in Industrial Internet of Things

2. A Visualized Botnet Detection System Based Deep Learning for the Internet of Things Networks of Smart Cities

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