THE SECURED SERVER MANAGEMENT FOR BIG DATA ENVIRONMENTS USING HIGH PERFORMANCE COMPUTING BASED OPTIMIZATION MODEL
Abstract
Big data environments require secure server management to ensure the safety of sensitive information. The security of servers must be managed to protect data from unauthorized access, tampering, theft, or misuse. Organizations must ensure that their server management system is up to date and implements the latest security technologies to protect against cyber threats. First, organizations must ensure that access to the server is strictly controlled. Access should be granted only to authorized personnel, and all personnel must use secure authentication methods such as multi-factor authentication to access the server. Additionally, access to the server should be monitored to detect any suspicious activities. Organizations should also implement a comprehensive system of security measures to protect the server from malicious attacks. These measures may include firewalls, intrusion detection systems, and antivirus software. Organizations should also ensure that their server is regularly backed up in case of a system failure. This can be done using cloud storage or physical backups stored in a secure location.

Authors
M. Abishek, A. Jeyapriya
Alagappa University, India

Keywords
Big Data, Sensitive Information, Organization, Cyber Threats
Yearly Full Views
JanuaryFebruaryMarchAprilMayJuneJulyAugustSeptemberOctoberNovemberDecember
001000000000
Published By :
ICTACT
Published In :
ICTACT Journal on Data Science and Machine Learning
( Volume: 4 , Issue: 2 , Pages: 411 - 415 )
Date of Publication :
March 2023
Page Views :
112
Full Text Views :
3

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.