Information protection method and system based on queue data desensitization and differential privacy protection

The invention provides an information protection method and system based on queue data desensitization and differential privacy protection, and aims to protect the security of sensitive data, realize legal compliance of the sensitive data and maximize data availability and mining value. And the real...

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Bibliographische Detailangaben
Hauptverfasser: TANG PEIFU, LIU WANHENG, LI JIANTAO, MA XUEQI, LI MEIRUI, SHEN TINGYAN, LIU YING, ZHAO ZIXIN, WANG MENG
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The invention provides an information protection method and system based on queue data desensitization and differential privacy protection, and aims to protect the security of sensitive data, realize legal compliance of the sensitive data and maximize data availability and mining value. And the real world data platform performs data desensitization by combining a differential privacy technology and a queue data federated analysis calculation technology based on Swarm learning, so that personal privacy protection and data security are realized. On the premise of ensuring the security of personal sensitive data, if the published data has problems and needs to be destroyed, a technical means is adopted to remotely identify the identity of a user and safely destroy the sensitive data in a storage medium, so that an unauthorized user is prevented from recovering original data information by using residual data, and the user experience is improved. Therefore, the purpose of protecting key data is achieved. 本发明提供了一种