Abstract
The popularity of mobile devices in Internet of Things has brought great convenience to the lives of the people. Massive data generated in the IoT are outsourced and stored on cloud platforms so that data aggregation and analysis can be performed on the massive data. However, these data often contain sensitive information of mobile devices, so effective protection of mobile user privacy is the primary condition for further development of IoT. Most of the current data aggregation schemes require a lot of interactions between users, and thus this paper designs a non-interactive secure multidimensional data aggregation scheme. This scheme adopts an additive secret sharing technique to mask the shared data and send it to two non-colluding servers, and then the servers aggregate the ciphertext respectively. Different from the existing schemes, our proposed scheme achieves non-interaction between users, and the aggregation result is kept confidential to the server and supports mobile users offline. Finally, we perform an experimental evaluation which proves the effectiveness of our scheme.
Highlights
With the rapid development of mobile devices and cloud computing, the IoT has brought great convenience to the lives of people
In order to work out the problem of the huge communication cost, and support users offline and realize the verification of the aggregation results, this paper proposes a noninteractive and secure data aggregation algorithm, which means that the mobile users do not interact with each other
We proposed a non-interactive and secure data aggregation scheme with additive secret sharing for IoT
Summary
With the rapid development of mobile devices and cloud computing, the IoT has brought great convenience to the lives of people. According to the mobile economy 2020 released by the Global System for Mobile Communications Assembly, the total number of global IoT connections reached 12 billion in 2019, and they will reach 24.6 billion in. These devices will generate data, which means that the IoT can have a deeper understanding of user behavior, so as to provide users with more convenient and faster services. The large amount of data generated by the IoT covers various fields, such as medical life services, economy and education, which have promoted the development of human society. Smart wearable devices record information about our daily life, including our health status, location, call records, etc
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