Secure and Utility-Aware Data Collection with Condensed Local Differential Privacy
IEEE Transactions on Dependable and Secure Computing(2021)
摘要
Local Differential Privacy (LDP) is popularly used in practice for privacy-preserving data collection. Although existing LDP protocols offer high utility for large user populations (100,000 or more users), they perform poorly in scenarios with small user populations (such as those in the cybersecurity domain) and lack perturbation mechanisms that are effective for both ordinal and non-ordinal item...
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关键词
Protocols,Privacy,Data collection,Sociology,Statistics,Computer security,Perturbation methods
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