| Title | Blockchain Based Big Data Security Protection Scheme |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Zhang, Conghui, Li, Yi, Sun, Wenwen, Guan, Shaopeng |
| Conference Name | 2020 IEEE 5th Information Technology and Mechatronics Engineering Conference (ITOEC) |
| Date Published | jun |
| Keywords | Access Control, authentication, Big Data, blockchain, cryptography, Heart beat, Human Behavior, Kerberos, Metrics, pubcrawl, Resiliency, security protection, Servers |
| Abstract | As the key platform to deal with big data, Hadoop cannot fully protect data security of users by relying on a single Kerberos authentication mechanism. In addition, the single Namenode has disadvantages such as single point failure, performance bottleneck and poor scalability. To solve these problems, a big data security protection scheme is proposed. In this scheme, blockchain technology is adopted to deploy distributed Namenode server cluster to take joint efforts to safeguard the metadata and to allocate access tasks of users. We also improved the heartbeat model to collect user behavior so as to make a faster response to Datanode failure. The smart contract conducts reasonable allocation of user role through the judgment of user tag and risk value. It also establishes a tracking chain of risk value to monitor user behavior in real time. Experiments show that this scheme can better protect data security in Hadoop. It has the advantage of metadata decentralization and the data is hard to be tampered. |
| DOI | 10.1109/ITOEC49072.2020.9141914 |
| Citation Key | zhang_blockchain_2020 |
Blockchain Based Big Data Security Protection Scheme