OPTIMIZATION OF INFORMATION BACKUP OF DATA PROTECTION SYSTEMS

For data protection systems, the issue of ensuring high reliability of incoming and outgoing data is very important. To increase data reliability, a method of parallel information backup can be used, which significantly reduces the likelihood of not detecting a situation and has little effect on reducing the likelihood of a false alarm. The application of the principles of majority logic makes it possible to reduce the probability of false alarms, but at the same time, it is necessary to increase the number of parallel channels, which is associated with economic constraints. In the future, the development of the method of parallel information redundancy using the nested modules method will make it possible to create simple, technically reliable, cost-effective, highly informative systems with high reliability of monitored data. The proposed method of nested information redundancy is a very effective method of building integrated automated decision support systems.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-15
DOI
https://doi.org/10.5281/zenodo.15427386
Primary Topic
Cybersecurity and Information Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

OPTIMIZATION OF INFORMATION BACKUP OF DATA PROTECTION SYSTEMS

Zenodo (CERN European Organization for Nuclear Research)
Cybersecurity and Information Systems
article

OPTIMIZATION OF INFORMATION BACKUP OF DATA PROTECTION SYSTEMS

article en

Abstract

For data protection systems, the issue of ensuring high reliability of incoming and outgoing data is very important. To increase data reliability, a method of parallel information backup can be used, which significantly reduces the likelihood of not detecting a situation and has little effect on reducing the likelihood of a false alarm. The application of the principles of majority logic makes it possible to reduce the probability of false alarms, but at the same time, it is necessary to increase the number of parallel channels, which is associated with economic constraints. In the future, the development of the method of parallel information redundancy using the nested modules method will make it possible to create simple, technically reliable, cost-effective, highly informative systems with high reliability of monitored data. The proposed method of nested information redundancy is a very effective method of building integrated automated decision support systems.

Zenodo (CERN European Organization for Nuclear Research)
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Cybersecurity and Information Systems
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OPTIMIZATION OF INFORMATION BACKUP OF DATA PROTECTION SYSTEMS · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS