Survey on Big Data Security Framework

Big Data are large data sets that are either structured/unstructured collection of various data formats. These repositories are mined for information extraction and decision-making. The data being sensitive draws unauthorized access, prompting to secure each and every vulnerable access points. Security in Big Data is one of the interesting areas that are being researched. This Paper covers an overall framework for the big data security including Data Classification, Authentication, Authorization, Crypto Methods, Logging and Monitoring. Major security concerns appear on the Application level, Network level, Classification level and Analytics level. The breach of security results in sensitive data loss, threats on data misuse and even loss of money for customers. The aim of this paper is to provide a detailed survey on the researches undertaken on the 'Big Data Security Framework' area for the past few years through various publications. It also analyses the open problems still existing despite consistent exploration and probable future directions to probe other security options.