Machine Learning (ML) assisted Edge security framework on FPGAs

• Main Authors: Sheikh, Abdul Manan, Islam, Md. Rafiqul, Habaebi, Mohamed Hadi, Ahmad Zabidi, Suriza, Najeeb, Athaur Rahman, Basahel, Ahmed
• Format: Proceeding Paper
• Language: English; English
• Published: U.S. 2023
• Subjects: TK5101 Telecommunication. Including telegraphy, radio, radar, television
• Online Access: http://irep.iium.edu.my/107811/7/107811_Machine%20Learning%20%28ML%29%20assisted%20Edge%20security.pdf; http://irep.iium.edu.my/107811/8/107811_Machine%20Learning%20%28ML%29%20assisted%20Edge%20security_Scopus.pdf; http://irep.iium.edu.my/107811/; https://ieeexplore.ieee.org/document/10246095
• Institution: Universiti Islam Antarabangsa Malaysia

Edge computing (EC) is an act of bringing computational and storage capability near data sources. It helps to reduce response times and bandwidth requirements. However, the rapid proliferation of edge devices has expanded the attack surface and opportunity for adversaries to penetrate corporate netw...