Intrusion Detection via MLP Neural Network Using an Arduino Embedded System

Author:

de Almeida Florencio Felipe,Moreno Edward David,Teixeira Macedo Hendrik,de Britto Salgueiro Ricardo J. P.,Barreto do Nascimento Filipe,Oliveira Santos Flavio Arthur

Publisher

IEEE

Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. An Alert and Detection System for Cyber-Attacks on IoT Devices;Advances in Electronic Government, Digital Divide, and Regional Development;2023-09-26

2. Anomaly Detection in Embedded Devices Through Hardware Introspection;2023 Silicon Valley Cybersecurity Conference (SVCC);2023-05-17

3. A Comprehensive Review on Cyber-Attack Detection and Control of Microgrid Systems;Power Systems Cybersecurity;2023

4. Architecture Based Classification for Intrusion Detection System Using Artificial Intelligence and Machine Learning Classifiers;ICT for Intelligent Systems;2023

5. Using Transformer Technique for Intrusion Detection;Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications;2023

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