Abstract
The development of the Internet of Things (IoT) and 5th generation wireless network (5G) is set to push the smart agriculture to the next level since the massive and real-time data can be collected to monitor the status of crops and livestock, logistics management, and other important information. Recently, COVID-19 has attracted more human attention to food safety, which also has a positive impact on smart agriculture market share. However, the security and privacy concern for smart agriculture has become more prominent. Since smart agriculture implies working with large sets of data, which usually sensitive, some are even confidential, and once leakage it can expose user privacy. Meanwhile, considering the data publishing of smart agriculture helps the public or investors to real-timely anticipate risks and benefits, these data are also a public resource. To balance the data publishing and data privacy, in this article, a privacy-preserving data aggregation scheme with a flexibility property uses ElGamal Cryptosystem is proposed. It is proved to be secure, private, and flexible with the analysis and performance simulation.
Highlights
W ITH the growing world population, people demand sustainably produced food
The control center can select some ciphertexts of the data stored in the cloud, and the cloud will calculate the aggregated plaintext and return the results
The control center (CC) generates the aggregation areas according to the requirements and the data stored in the cloud
Summary
W ITH the growing world population, people demand sustainably produced food. especially due to the COVID-19 pandemic, a growing concern has been paid on food security. To solve the privacy and efficiency problems in the smart grid, Li et al in [11] and Lu et al in [12] proposed privacypreserving data aggregation schemes, respectively. A flexible privacy-preserving data aggregation scheme based on virtual aggregation area, which uses some basic encryption tools such as ElGamal encryption and blind factor, is proposed. The control center can select some ciphertexts of the data stored in the cloud, and the cloud will calculate the aggregated plaintext and return the results In these processes, none can get any information about farmers’ data. The control center (CC) generates the aggregation areas according to the requirements and the data stored in the cloud. AUTHOR et al.: PREPARATION OF PAPERS FOR IEEE TRANSACTIONS AND JOURNALS (JULY 2020)
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