• P. ARUNAPRIYA
• V. R. KAVITHA

Numerous applications are using face detection techniques to capture the facial images of the user as a sign of authorization. As the number of applications is increasing the images captured are also stored in a huge amount. These images are usually stored in a cloud-basedservice where the analyzing and processing of information for a particular application takes a lot of time. In this paper, we have brought a solution to this challenge by storing the informationand images using Fog computing in an IoT based environment. IoT is being used in many fields and it becomesthe prime responsibility to secure all the information being a store. The proposed framework provides a security and privacy preservationscheme using Fog computing which is used intensively for face identification applications. This minimizes the storage space required in the cloud and hence balances the load between various fog layers. In existing model, they didn’t achieve the security level and efficiency level. Also there is no any hybrid security given with combinational. The experimental results determine that the proposed model has obtained an accuracy level of about 90% by offering minimal latency in the entire network.

IoT, Fog Computing, Face Detection, Privacy Preservation, Security, Efficiency, Load Balancing, Storage.

"SECURITY AND PRIVACY PRESERVATION SCHEME OF FACE IDENTIFICATION AND RESOLUTION FRAMEWORK USING FOG COMPUTING IN INTERNET OF THINGS USING OF PYTHON", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.370-374, April-2019, Available :http://www.jetir.org/papers/JETIR1904765.pdf

"SECURITY AND PRIVACY PRESERVATION SCHEME OF FACE IDENTIFICATION AND RESOLUTION FRAMEWORK USING FOG COMPUTING IN INTERNET OF THINGS USING OF PYTHON", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp370-374, April-2019, Available at : http://www.jetir.org/papers/JETIR1904765.pdf