• 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