An Enhanced LSTM Approach for Detecting IoT-Based DDoS Attacks Using Honeypot Data
Abstract One of the widening perils in network security is the Distributed Denial of Service (DDoS) attacks on the Internet of Things (IoT) ecosystem. This paper presents an enhanced Intrusion Detection System (IDS) through the proposal of an enhanced version of the long short-term memory (LSTM) mod...
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Main Authors: | Arjun Kumar Bose Arnob, M. F. Mridha, Mejdl Safran, Md Amiruzzaman, Md. Rajibul Islam |
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Format: | Article |
Language: | English |
Published: |
Springer
2025-02-01
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Series: | International Journal of Computational Intelligence Systems |
Subjects: | |
Online Access: | https://doi.org/10.1007/s44196-025-00741-7 |
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