Privacy Preserving Data Aggregation Scheme for Mobile Edge Computing Assisted IoT Applications

Abstract-As the rapid development of 5G and Internet of Things (IoT) techniques, more and more mobile devices with specific sensing capabilities access to the network and large amounts of data. The traditional architecture of the cloud computing cannot satisfy the requirements such as low latency, fast data access for IoT applications. Mobile edge computing can solve these problems, and improve the execution efficiency of the system. In this paper, we propose a privacy preserving data aggregation scheme for mobile edge computing assisted IoT applications. In our model, there are three participants, i.e. terminal device, edge server and public cloud center. The data generated by the terminal devices is encrypted and transmitted to the edge server, then the edge server aggregates the data of the terminal devices and submits the aggregated data to the public cloud center. At last, the aggregated plaintext data can be recovered by public cloud center through its private key. Our scheme not only guarantees data privacy of the terminal devices, but also provides source authentication and integrity.
Compared with traditional model, our scheme can save half of communication cost, and is very suitable for mobile edge computing assisted IoT applications.