THE SECURED SERVER MANAGEMENT FOR BIG DATA ENVIRONMENTS USING HIGH PERFORMANCE COMPUTING BASED OPTIMIZATION MODEL

ICTACT Journal on Data Science and Machine Learning ( Volume: 4 , Issue: 2 )

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

Published By
ICTACT
Published In
ICTACT Journal on Data Science and Machine Learning
( Volume: 4 , Issue: 2 )
Date of Publication
March 2023
Pages
411 - 415
DOI

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