A Novel Approach for Privacy protection in Cloud using Facial Key Template based Homomorphic Encryption

Authors

  • Tadi. Chandrasekhar, Ch. Sumanth kumar

Abstract

Data is the new currency as lot of the user’s presence online is on an upward trend. As a consequence the data storage on the various cloud platforms has been a new normal. There is a need to implement a security procedure for solution of the problem of cloud computing’s vulnerable data. Face recognition is a new trend in bio-metrics as fast processing power is available on mobile devices as well as on computing devices. The cloud service providers which include Google, Microsoft and Amazon are using various encryption techniques to enhance privacy. The current method devices a procedure that provides facial authentication and facial key generation for privacy of data. Cloud mechanism is processed by facial features for authentication .Facial templates database is provided for cloud encryption of individual file which is integrated into core algorithm of the method, facial key will be compared with face data templates and encrypted. The observational outcome provides the methodology which can guarantee that cloud user’s information and the reclusive personal identity of the users are protected. We create a double abstraction methodology to assure protection of data on a cloud computing platform by using facial template as a key for the encryption.

 Keywords: Facerecognition, Facial templates, facial authentication, facial key generation

Published

2020-12-31

Issue

Section

Articles