Name
Abstract | ||
|---|---|---|
Big data security is one of the hottest research topics in big data computing and service applications, because of the lack of research results and mature security technologies and solutions to provide adequate big data security. Big data security faces the need to effectively enforce security policies to protect sensitive data. Trying to satisfy this need, a security policy solution is presented in the paper. Firstly, an implementation independent and fine-grained policy meta-model is proposed for abstraction from underlying technologies and better reuse. Then, a sticky policy framework is adopted with policy enforcement and evaluation discussed in detail. Finally, a healthcare scenario is used to evaluate the process of policy modeling and enforcement. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/BigDataService.2015.71 | BigDataService |
Keywords | Field | DocType |
Big Data Security, Security Policy, Sticky Policy, Policy Enforcement | Security convergence,Data mining,Data security,Network security policy,Computer security,Computer science,Security service,Cloud computing security,Security information and event management,Security policy,Computer security model | Conference |
Citations | PageRank | References |
4 | 0.52 | 18 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shuyu Li | 1 | 6 | 1.61 |
| Tao Zhang | 2 | 35 | 3.54 |
| Jerry Gao | 3 | 168 | 20.38 |
| Younghee Park | 4 | 123 | 16.10 |