The growth of the information and communication technology has led the world to experience more sophisticated service that were once thought to be a fantasy. The emergence of the internet of things has further taken the world one step ahead by enabling the tangible things around to communicate. The IOT affords to offer more advanced services by the incorporation of the wireless sensors. The collection of the information and its delivery in the platform of internet of things is taken care by the enormous number of smart devices present in it and the numerous of smart devices present cause a very high amount of data flow. The issue arises in such platforms of internet of things in handling, regulating, storing and computing the huge amount of data flow. Move over the security of the data are also uncertain. To manage all these the paper delivers a sensor cloud based architecture with highly efficient computation and the security implantation for the application of internet of things. The proposed model improves the computation capability and the security of the data by using cloud service, the machine learning and the encryption scheme. The network simulator -3 evaluates the performance of the delivered model that provides a satisfying and sustaining results than the existing methods. The experiments were carried out on the grounds of the longevity of the network, overhead in the transmission the amount of energy used and as well as the packet drop ratio. The results attained on each ground were found be 25%, 30%, 38.76% and 50.7% better compared to the state of art approaches.
CloudFence: Data Flow Tracking as a Cloud Service
