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    Projects > COMPUTER > 2017 > IEEE > CLOUD COMPUTING

    Secure Data Sharing and Searching at the Edge of Cloud-Assisted Internet of Things


    Abstract

    The Internet of things (Iot)1 is considered as a future internet that extends the connection of the internet to all kinds of real-world physical smart devices. A report by Cisco (www.cisco .com/c/dam/en_us/about/ac79/docs/ innov/IoT_IBSG_0411FINAL.pdf) estimates that by 2020 around 50 billion of such smart devices will be connected to the Internet. By connecting these billions of smart devices to the Internet, the IoT will provide developed smart and autonomous cyber-physical environments in the area of smart grids, smart cities, smart homes, smart medical and healthcare systems, wearable technologies, transportation systems, etc. However, the majority of these devices are part of a large platform, hence, a huge amount of data are generated that requires high computational capabilities for storage, processing, and analyzing purposes in a secure and efficient manner. Generally, the smart devices have limited resources. On the other hand, cloud resources have virtually unlimited storage and processing capabilities with scalability and on-demand accessibility anywhere. Thus with the help of the cloud, the IoT smart devices can relieve the burden of limited resources. For IoT applications, smart devices require low latency, high data rate, fast data access, and real-time data analytics/processing with decision-making and mobility support. Due to several drawbacks, the cloud cannot fulfill the aforesaid requirements


    Existing System


    Proposed System


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