Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Brilliance: Research of Artificial Intelligence
Syam, Abd. Mu’iz
Unknown Affiliation
Decision Sciences, Operations Research & Management Mathematics Other

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Security Analysis And Data Recovery On Large-Scale Computer Networks Putra, Fauzan Prasetyo Eka; Syirofi, Syirofi; Wahid, Durrahman; Syam, Abd. Mu’iz
Brilliance: Research of Artificial Intelligence Vol. 5 No. 1 (2025): Brilliance: Research of Artificial Intelligence, Article Research May 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i1.6276

Abstract

Large computer networks are now needed to help institutions, businesses, and governments do their work in today's complex and connected digital world. At the same time, the growth of very large and important data sets brings new problems for keeping data safe and quickly getting it back when needed. This research aims to carefully study security plans and data recovery methods that can be used well with large computer networks. This research looks at scientific papers, information technology articles, and related research reports from the last ten years. The main things to do are to use firewalls in layers, use encryption methods like AES and RSA, and use systems to find and block malware by looking at its signatures and actions. We also need to make the physical security of network devices stronger, automatically manage updates, and set up regular data backups along with a plan for recovering from disasters (DRP). The study's results show that a complete security and recovery system that combines different parts can greatly improve how well the system can handle different threats, whether they are technical or not. Working together to prevent cyberattacks and being ready to recover data is very important for keeping information technology services running smoothly. This research gives key suggestions on how to build a network that is not only secure and works well but can also quickly recover if there is an emergency or system problem.
Co-Authors Fauzan Prasetyo Syirofi, Syirofi Wahid, Durrahman