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View all- Sai SKanadia MChamola V(2024)Empowering IoT with Generative AI: Applications, Case Studies, and LimitationsIEEE Internet of Things Magazine10.1109/IOTM.001.23002467:3(38-43)Online publication date: May-2024
This article proposes a sensor data anonymization model that is trained on decentralized data and strikes a desirable trade-off between data utility and privacy, even in heterogeneous settings where the sensor data have different underlying distributions. ...
k-anonymity and ε-differential privacy are two mainstream privacy models, the former introduced to anonymize data sets and the latter to limit the knowledge gain that results from including one individual in the data set. Whereas basic k-anonymity only ...
Privacy Preserving Data Mining (PPDM) is a data mining research area that aims to protect individual's personal information from unsolicited or unauthorized disclosure. Privacy relates to personal information that a person would not wish others to know ...
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