2nd International Conference on Materials Science and Sustainable Manufacturing Technology
Multi-Access Filtering using FOG-Enivronment
Gowtham S, Mohammed Abdullah S, Asha J, Nawin Ram Shanker I, Selwin Isac Neilsingh J, Department of Computer Science and Engineering, Sri Eshwar College of Engineering, Coimbatore, India.
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.
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Cite this article
Gowtham S, Mohammed Abdullah S, Asha J, Nawin Ram Shanker I, Selwin Isac Neilsingh J, “Multi-Access Filtering using FOG-Enivronment”, Advances in Computational Intelligence in Materials Science, pp. 082-088, May. 2023. doi:10.53759/acims/978-9914-9946-9-8_14
