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A Dynamic Scalable Security Model for Data at Rest in fog Computing Environment

Fog computing brings cloud services closer to the
network’s Edge. Despite various applications in today’s world,
these applications lack in data security aspects. Developers have
few solutions that need to be tested thoroughly. Data
encipherment is one of the most popular mechanisms to protect
data confidentiality, data integrity, etc. We propose two steps
flexible dynamic scalable model in which the system will
dynamically choose an encryption mechanism depending on the
access frequency of data being encrypted. If data is frequently
accessed, then the model will choose the algorithm with minimum
computational complexity. In next step, model will use a scalable
approach to decide the security strength needed by determining
size of encryption key. A longer key will be used to encrypt more
sensitive and secretive data automatically by security model and a
smaller key will be used to encrypt public data or less sensitive,
saving the fog node from computation overload. Our model is
more secure and dynamic in nature with scalable security
strength.