A Privacy Preserving Anomaly Detection Framework for Cooperative Smart Farming Ecosystem

2021 Third IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA)(2021)

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摘要
The agriculture sector has seen growing applications of AI and data intensive systems. Typically, individual farm owners join together to form agricultural cooperatives to share resources, data, and domain knowledge. These data intensive cooperatives help generate AI supported insights for member farmers. However, this leads to a rising concern among individual smart farm owners about the privacy ...
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关键词
Privacy,Data privacy,Biological system modeling,Perturbation methods,Training data,White noise,Security
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