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Data Science and Big Data Analytics for Security and Privacy Challenges

Author(s):

Tushar Chauhan , Indus University; Prof. Sejal Thakkar, Indus University; Prof. Pruthvi Patel, Indus University

Keywords:

Data Science, Security and Privacy Challenges

Abstract

Here in this paper, we present a brief overview of important topic regarding the connection of security and data science, big data. Here we discuss a selection of security aspects that data scientist and big data analyst should consider to make their service and product more secure. And also discuss about applications where security plays important role in real life application this includes detailed looks about security issues related to data science and big data analysis. The Term Big Data Analytics for Security intelligence refers to a process of analyzing and mining large amounts of data. The scope of big data security is limited not only to the current data set but also historical data to identified threats, anomalies, fraud so that network can be safe from targeted attacks. Many institutions are taking steps to focus the growing problems of advanced persistent threats, attacks and fraud.

Other Details

Paper ID: IJSRDV8I120093
Published in: Volume : 8, Issue : 12
Publication Date: 01/03/2021
Page(s): 153-154

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