DocumentCode
3525097
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
fYear
2015
fDate
March 30 2015-April 2 2015
Firstpage
130
Lastpage
137
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Big Data Computing Service and Applications (BigDataService), 2015 IEEE First International Conference on
Conference_Location
Redwood City, CA
Type
conf
DOI
10.1109/BigDataService.2015.71
Filename
7184873
Link To Document