Open AccessA Survey on Security Models for Data Privacy in Big Data Analytics
Author(s) -
Avula Satya Sai Kumar,
Shashank Mohan,
R. Arunkumar
Publication year - 2018
Publication title -
asian journal of computer science and technology
Language(s) - English
Resource type - Journals
eISSN - 2583-7907
pISSN - 2249-0701
DOI - 10.51983/ajcst-2018.7.s1.1798
Subject(s) - computer science , encryption , big data , access control , volume (thermodynamics) , key (lock) , analytics , information privacy , data access , confidentiality , computer security , data security , data mining , database , data science , physics , quantum mechanics
As emerging data world like Google and Wikipedia, volume of the data growing gradually for centralization and provide high availability. The storing and retrieval in large volume of data is specialized with the big data techniques. In addition to the data management, big data techniques should need more concentration on the security aspects and data privacy when the data deals with authorized and confidential. It is to provide secure encryption and access control in centralized data through Attribute Based Encryption (ABE) Algorithm. A set of most descriptive attributes is used as categorize to produce secret private key and performs access control. Several works proposed in existing based on the different access structures of ABE algorithms. Thus the algorithms and the proposed applications are literally surveyed and detailed explained and also discuss the functionalities and performance aspects comparison for desired ABE systems.