Privacy information protection method based on cloud assistance in crowd sensing

Abstract

The invention discloses a privacy information protection method based on cloud assistance in crowd sensing. The method comprises the steps that TA registers a mobile user, a requester, a cloud and PCAin a system, and generates an RSA secret key for the requester, the cloud, the mobile user and the PCA; the requester generates an own Paillier homomorphic encryption public key and private key, andsends the task tau and the public key hpk to the TA; after receiving {tau, hpk} from the requester, the TA sends the {tau, hpk} to the participant; the user requests a plurality of pseudonyms from thePCA as anonymous certificates; after receiving the pseudonym, the user decrypts the information by using a private key ski of the user, executes the task and submits sensing data; the cloud verifiesthe anonymous certificate after receiving the message sent from the user; after the cloud verification succeeds and the interaction with the PCA is completed, statistical summation operation is carried out on all the received data; and after the requester receives the data sent by the cloud, the fusion result is decrypted by using the homomorphic encryption private key of the requester. Accordingto the method, the privacy information of the mobile user can be well protected.

Description

Technical field [0001] The invention relates to a cloud-assisted privacy information protection method in group intelligence perception. Background technique [0002] Mobile Smart Sensing (MCS) reduces the cost of data collection for task owners by acquiring sensing data from smart devices that are embedded with a large number of sensors carried by ordinary users. Therefore, it has broad application prospects, such as environmental monitoring intelligent transportation, Emerging applications such as smart healthcare and public safety. However, the perception data contributed by users will contain sensitive information such as the user's age, whereabouts, and health status. When this information is stolen by an attacker, it will cause serious privacy leaks and even personal attacks. Although the existing privacy protection schemes prevent the leakage of private information to a certain extent, when the requester monitors in the cloud, the requester colludes with the honest and c...

AI Technical Summary

Problems solved by technology

When this information is stolen by attackers, it will lead to serious privacy leaks and even personal attacks

Although the existing privacy protection schemes prevent the leakage of private information to a certain extent, when the requester monitors in the cloud, the requester colludes with the honest and curious cloud, and the requester’s homomorphic encryption private key leaks, etc. , the user's private information will not be protected

[0003] Although existing technologies can protect user privacy information to a certain extent, they cannot effectively prevent attackers, clouds, and requesters from directly obtaining data contributed by users, and will increase the computing and storage burden of requesters.

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