Multi-Access Filtering using FOG-Enivronment

Abstract

Fog computing is gaining popularity, even in traditionally conservative and delicate sectors like the Armed forces and nations.The interconnection of our community and technology breakthroughs like the IOT technology both have an impact on this. However, one of many crucial factors in fog computing adoption is guarding against privacy leaks. As a result, we present a multi-layer access filtration model in this study that safeguards privacy and was designed for such fog-based cloud environment, thus the name (FAF)fog-based access filter. The three major algorithms that make up FAF are the tuple reduction algorithm, the optimal privacy-energy-time methodology, and the access filter initialization method. The different protective aims are also distinguished using a hierarchical classification. Our experimental evaluation's conclusions show that FAF enables one to strike the perfect balance between privacy protection and computing costs.