THE AGE OF BIG DATA: MAIN IMPLICATIONS ON SECURITY AND PRIVACY AND NEW TECHNOLOGIES THAT CAN HELP INVESTIGATIVE PROCESSES AND DETECTION OF REAL-TIME FRAUD

Authors

  • Alessandro Marco Rosini Filho Mackenzie/SP
  • Alessandro Marco Rosini Faculdades Metropolitanas Unidas - FMU, São Paulo
  • Angelo Palmisano UNIVAG

DOI:

https://doi.org/10.23925/2179-3565.2020v11i3p13-34

Keywords:

Big Data, IT security, Systems investigation, Fraud detection and prevention, Data privacy and security

Abstract

With the great expansion in the volume of data created in recent years, coupled with the speed at which the most distinct information is generated from multiple and different origins, this work developed through qualitative method, based on a review and descriptive analysis of main publications made on the topic Big Data, based on security and privacy, in order to understand and analyze the different thoughts on the subject. We sought to submit the concepts involving this phenomenon termed as Big Data, as well as expose the issues and challenges surrounding the security and privacy of data stored and used by organizations that adopt technologies capable of extracting determining values on existing data, detecting that there are still many aspects that effect which must be carefully evaluated by the organizations that have this type of technology, or aims to implement it. In this concern, it was of interest in this research and check to see that these new technologies can make a decisive contribution to security optimization engine of technological environments and own technology itself, can bring important advances with regard to the prevention and detection fraud, more efficiency and agility in investigative processes and add more strategic intelligence with respect to public safety, aimed at combating crime.

Author Biographies

Alessandro Marco Rosini Filho, Mackenzie/SP

Estudante

Alessandro Marco Rosini, Faculdades Metropolitanas Unidas - FMU, São Paulo

Angelo Palmisano, UNIVAG

Doutor PUCSP em Ciências Sociais

Published

2020-11-03

Issue

Section

Papers