Secure Healthcare Data Aggregation and Deduplication Scheme for FoG-Orineted IoT

Internet of things (IoT) comprises of large no of devices that are remotely communicated through different networks. Healthcare sensing devices are connected with the collector nodes to transmit data through FoG server over the public cloud server. Data protection against different security risks is mandatory. This paper presents a symmetric key based encryption mechanism for transmission of aggregated data for healthcare sensing. To reduce duplicate values, we have presented a Controlled Window-size based Chunking Algorithm (CWCA). It applies minimum and maximum value threshold on window sizes to ensure reasonable sized chunks. A window size greater than the seventy-five percent of the threshold window size is acceptable. If the window size is less than this, then next cut point is identified based on the reference value like similar temperature in the next patient's data. In cases where chunk size is larger than the threshold size then data string is back tracked till the nearby delimiter. To validate our work, we have developed a testbed using WCF services for implementing de-duplication algorithms in ASP.net and C# and deployed on FoG server and Windows Azure Cloud. Results prove the supremacy of our scheme in terms of Chunk frequency, average chunk size along with minimum and maximum chunk sizes.