Efficient Scanning Activity Detection in IoT Networks Using Ensemble Learning-Reference-Cited by-同舟云学术

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Efficient Scanning Activity Detection in IoT Networks Using Ensemble Learning

Published:2023-09-15 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 Asia Conference on Artificial Intelligence, Machine Learning and Robotics
language:
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Author:

Igried Bashar¹^ORCID,Alauthman Mohammad²^ORCID,AlKhaldy Mohammad³^ORCID,Alsarhan Ayoub¹^ORCID

Affiliation:

1. Faculty of Prince Al-Hussein Bin Abdallah II for Information Technology, The Hashemite University, Jordan

2. Department of Information Security, University of Petra, Jordan

3. Department of Business Intelligence and Data Analytics, University of Petra, Jordan

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3625343.3625346

Reference30 articles.

1. Improved dropping attacks detecting system in 5g networks using machine learning and deep learning approaches;Mughaid A.;Multimedia Tools and Applications,2023

2. LightGBM Algorithm for Malware Detection

3. A New Scheme for Detecting Malicious Nodes in Vehicular Ad Hoc Networks Based on Monitoring Node Behavior

4. Almseidin , M. , Al-Kasassbeh , M. and Kovacs , S . Detecting Slow Port Scan Using Fuzzy Rule Interpolation . City , 2019 . Almseidin, M., Al-Kasassbeh, M. and Kovacs, S. Detecting Slow Port Scan Using Fuzzy Rule Interpolation. City, 2019.

5. -K. B. Risk and Vulnerability Analyses for the protection of Information for Future communication security Based Neural Networks;Igried A.-K.;Journal of Advanced Sciences and Engineering Technologies,2019

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