Title :
A Sticky Policy Framework for Big Data Security
Author :
Shuyu Li ; Tao Zhang ; Gao, Jerry ; Park, Younghee
Author_Institution :
Sch. of Comput. Sci., Shaanxi Normal Univ., Xi´an, China
fDate :
March 30 2015-April 2 2015
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.
Keywords :
Big Data; cloud computing; data protection; health care; security of data; big data security; fine-grained security policy metamodel; healthcare scenario; sensitive data protection; sticky policy framework; Authorization; Big data; Cloud computing; Encryption; Medical services;
Conference_Titel :
Big Data Computing Service and Applications (BigDataService), 2015 IEEE First International Conference on
Conference_Location :
Redwood City, CA
DOI :
10.1109/BigDataService.2015.71