Abstract | ||
---|---|---|
Hadoop is a map-reduce implementation that rapidly processes data in parallel. Cloud provides reliability, flexibility, scalability, elasticity and cost saving to customers. Moving Hadoop into Cloud can be beneficial to Hadoop users. However, Hadoop has two vulnerabilities that can dramatically impact its security in a Cloud. The vulnerabilities are its overloaded authentication key, and the lack of fine-grained access control at the data access level. We propose and develop a security enhancement for Cloud-based Hadoop. |
Year | DOI | Venue |
---|---|---|
2014 | 10.1145/2600176.2600202 | HotSoS |
Keywords | Field | DocType |
security and protection,lack of fine-grained access control,applications,security,cloud,hadoop,distributed applications,overloaded authentication key | Authentication,Security enhancement,Computer security,Computer science,Cloud computing security,Access control,Data access,Cloud computing,Scalability,Vulnerability | Conference |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Xianqing Yu | 1 | 0 | 0.68 |
Peng Ning | 2 | 6868 | 386.15 |
Mladen A. Vouk | 3 | 452 | 49.92 |