About this document
Deep Learning for IoT Cyber Security by emmanuel.oguchi2024 is a document available to read on EtoBox.
The paper proposes deep learning models for enhancing cyber security in IoT networks, addressing vulnerabilities such as DDoS attacks. Using the CICIDS2017 dataset, the models achieved a detection accuracy of 97.16%, outperforming traditional machine learning algorithms. The study also highlights open research challenges in applying deep learning for IoT security.
- Author
- emmanuel.oguchi2024
- Language
- EN