OPTIMIZATION OF INFORMATION BACKUP OF DATA PROTECTION SYSTEMS

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.