THE ENHANCEMENT OF BIG-DATA SECURITY USING MULTI DIMENSIONAL USER ACCESS

Abstract
The Big data refers to a process used when traditional data mining and manipulation techniques could not detect the ins and outs of basic data. The Un-configured or time sensitive or simply very large data cannot be processed by associated database machines. This type of data requires a different processing approach called big data, which utilizes massive parallelism in the readily available hardware. The big data security refers to the security digital privacy measures used to prevent unauthorized access to computers, databases and websites. The big data protection also protects data from corruption. The big data security is an important aspect of IT for companies of every size and type. In this paper an enhanced security model was proposed to improve the security of the big data services. While the multi users are approach a single data set in the database, there may be collusion occurs between the users. There we need to enhance the security. The proposed method improves the security of the user access in various sessions.

Authors
J Gowtham
Mahendra College of Engineering and Technology, India

Keywords
Big Data, Database Machines, Massive Parallelism, Hardware, Big Data Security, Big Data Protection
Published By :
ICTACT
Published In :
ICTACT Journal on Data Science and Machine Learning
( Volume: 3 , Issue: 2 )
Date of Publication :
March 2022

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