Abstract: The present disclosure relates to a realtime urban traffic status monitoring method based on privacy-preserving compressive sensing, including the following steps: step S1: dividing vehicle data under privacy preserving into two parts, and sending the two parts to two different road side units (RSU) for preprocessing; step S2: outsourcing, by the two different RSUs, preprocessed vehicle data to two cloud platforms (CP) respectively, and designing a data encryption execution protocol based on a finally expected operation result and interactive operation between the two CPs, to encrypt the data; and step S3: receiving, by a navigation service provider (NSP), encrypted data from the CPs, decrypting the received encrypted data, and estimating an urban traffic status by using a compressive sensing technology.

Abstract: The present disclosure relates to a realtime urban traffic status monitoring method based on privacy-preserving compressive sensing, including the following steps: step S1: dividing vehicle data under privacy preserving into two parts, and sending the two parts to two different road side units (RSU) for preprocessing; step S2: outsourcing, by the two different RSUs, preprocessed vehicle data to two cloud platforms (CP) respectively, and designing a data encryption execution protocol based on a finally expected operation result and interactive operation between the two CPs, to encrypt the data; and step S3: receiving, by a navigation service provider (NSP), encrypted data from the CPs, decrypting the received encrypted data, and estimating an urban traffic status by using a compressive sensing technology.

Abstract: The present invention relates to a preservation system for preserving privacy of outsourced data in a cloud based on a deep convolutional neural network (CNN). The system includes a key generation center, a cloud platform, a data user, and a CNN service providing unit. The key generation center is an entity trusted by all other entities in the system, and is responsible for distributing and managing all keys of a data user or a CNN service provider, and all boot keys of the cloud platform. The cloud platform stores and manages encrypted data outsourced from a registrant in the system, and provides a computing capability to perform a homomorphic operation on the encrypted data. The CNN service provider provides a required deep classification model for the data user, and a decision result reflects a current situation of the data user.