关键词: 大数据, Hadoop, 访问控制, 隐私保护

Abstract: Recent growth in big-data is raising security and privacy concerns. Traditional access control models cannot provide dynamic access control to massive data. In view of the data security problem of Hadoop platform, a content sensitivity based access control model is proposed. The model enhances access control policies by harnessing the data context, usage patterns, and data sensitivity. The proposed model evaluates data sensitivity with minimal user intervention and adjusts access control strategies based on changes in data sensitivity caused by data set additions and deletions. Experimental results show that the proposed model is capable of enforcing access control policies on non-multimedia data sets with minimal overhead and overcomes the disadvantage on lacking of security about existing access control model in Hadoop platform.

Key words: big data, Hadoop, access control, privacy protection