Privacy Detection and Protection for Intelligent Transportation Shared Travel Service

Abstract

There is a large amount of privacy data in the big data environment. This paper studies the privacy detection and protection for intelligent transportation shared travel service. On the basis of traditional security policy, through the operation of anonymization of private data, the purpose of keeping private data secret under the premise of protecting data characteristics is realized. The anonymized private data can be used by data engineers to upgrade system functions and improve system user experience. In this paper, through the use of Hadoop project HBase tools, complete the data cleaning of privacy data, data desensitization operation. This paper designs and implements a privacy protection scheme for intelligent shared transportation system in big data environment. This paper uses K anonymous protection technology, data encryption technology to achieve the protection of privacy data. In this paper, HBase technology is used to desensitize the privacy data of the server. The experimental results show that the privacy protection scheme proposed in this paper can meet the security requirements of privacy data in transmission, storage and application.