A Hybrid Approach of CNN and LSTM to Detect Intrusion in Edge IoT Devices using CatBoost
Author:
Affiliation:
1. Chittagong University of Engineering and Technology,Department of Computer Science and Engineering,Chattogram,Bangladesh,4349
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10440723/10440967/10441595.pdf?arnumber=10441595
Reference18 articles.
1. DL‐IDS: a deep learning–based intrusion detection framework for securing IoT
2. Intrusion Detection Based on Approximate Information Entropy for Random Forest Classification
3. A New Ensemble-Based Intrusion Detection System for Internet of Things
4. A novel time efficient learning-based approach for smart intrusion detection system
5. A Lightweight Hybrid Intrusion Detection Framework using Machine Learning for Edge-Based IIoT Security
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