Multi-source Massive Privacy Big Data Reliability Access Right Security Authentication
The complexity of multi-source data and the fast propagation of big data may lead to privacy data being easily stolen by improper attacks,even a reduction of big data security.In this paper,a security authentication method for reliable access rights of multi-source massive private big data was proposed.Firstly,blockchain technology was used to detect malicious nodes in massive multi-source private data.Considering that malicious nodes were affected by many uncertain factors in multi-source networks,the determination range of influencing factors was set as the judg-ment standard for malicious nodes in order to improve the credibility of node detection.Combined with the fingerprint magic cube algorithm,a security mechanism was established for the detected multi-source private big data,thus ensu-ring the security of data.Moreover,the access control protocol was used to authenticate the user identity and the relia-ble access of data.Finally,the security authentication of reliable access rights for private big data was achieved.Ex-perimental results show that the proposed method can effectively resist all attacks in the security test,and only needs less than 4.7ms for the authentication.Therefore,the method is reliable and practical.
Privacy big dataSafety certification of access rightsBlockchain technologySecurity mechanismMalicious node detection
NETL
NSTL
万方数据
