An Enhanced LSTM Approach for Detecting IoT-Based DDoS Attacks Using Honeypot Data

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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Bibliographic Details
Main Authors: Arjun Kumar Bose Arnob, M. F. Mridha, Mejdl Safran, Md Amiruzzaman, Md. Rajibul Islam
Format: Article
Language:English
Published: Springer 2025-02-01
Series:International Journal of Computational Intelligence Systems
Subjects:
IoT
DDoS attacks
Intrusion detection
Enhanced LSTM
Honeypot
IoT-DH Dataset
Online Access:https://doi.org/10.1007/s44196-025-00741-7
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