Integrity Assurance Model (IAM) for Data Privacy and Preservation in Fog Computing Framework

The data volume that is produced worldwide is rapidly growing. For computing and processing those large volumes of data, Internet of Things (IoT), Cloud and Fog computing models are used, which are effectively used for designing smart cities. However, the large data volume is comprised of private, sensitive and risky data that some attacks can permeate. Those attacks can damage the data integrity, which may cause severe damage to the entire process or the database. With that concern, this paper introduces a novel model called Integrity Assurance Model (IAM) that can be used in Fog computing models for effectively managing the communication between the companies and users. The paper also incorporates a damage evaluation procedure and recovery model to estimate the damage caused by the attack and recover the data further. The recovered data is moved to its steady-state as there is no damage by the attacks. Simulations are conducted for assessing the model efficiency and the comparisons show that the proposed model is effective and practicable than the exiting in ensuring data privacy and preservation.