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

Abstract

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.