Machine Learning (ML) assisted Edge security framework on FPGAs

• المؤلفون الرئيسيون: Sheikh, Abdul Manan, Islam, Md. Rafiqul, Habaebi, Mohamed Hadi, Ahmad Zabidi, Suriza, Najeeb, Athaur Rahman, Basahel, Ahmed
• التنسيق: Proceeding Paper
• اللغة: English; English
• منشور في: U.S. 2023
• الموضوعات: TK5101 Telecommunication. Including telegraphy, radio, radar, television
• الوصول للمادة أونلاين: 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
• المؤسسة: 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...