The rapid accumulation of information assets requires new approaches to their storage and protection. The article is devoted to the analysis of modern approaches to storing large volumes of data, taking into account their efficiency, reliability and security. Key technologies such as cloud platforms, local solutions and distributed storage systems are considered, as well as the features of their application.
mechanisms for secure exchange of transactions are analyzed. The distributed structure of the blockchain network, built on the basis of a sequence of blocks containing transaction data, is considered. The fundamental features of the blockchain technology are described, as well as the 6-component multilayer blockchain architecture. The importance of using cryptographic hash functions to ensure the security and integrity of data in a blockchain network is shown.
The object of the research is the security of the file system of a single-board platform. As part of the research reported in this paper, a method has been proposed to protect the file system using encryption. Implementing a Linux Unified Key Setup paired with a password or Universal Serial Bus key has been demonstrated. The advantages of Linux Unified Key Setup for this task and the possibilities for system configuration and encryption method depending on the use case and hardware configuration has been outlined.
The article discusses key information security principles, focusing on confidentiality, integrity, availability, traceability, and the DIE model (Distributed, Immutable, Ephemeral). Confidentiality emphasizes the importance of secrecy and controlling access to prevent sensitive information from misappropriation. Integrity ensures that data remains accurate and trustworthy, with measures to prevent unauthorized modifications.
The goal of the research is to create an algorithm for analyzing vulnerabilities discovered and to enhance the data protection technique based on system penetration testing as a means of evaluating data security. The primary responsibility is to modify established security assessment techniques to fit the evolving technical landscape, namely cloud technologies and security system requirements. The issue of data protection evaluation of electronic documents is discussed in the article, and specifically, an A/B test was conducted.
It is shown that the following approaches can be used for group management of mobile robotic platforms (MRP): centralized (concentrated), decentralized (distributed) and hybrid. It was determined that an urgent task is the development of a neurofuzzy management system for the MRP group, which must perform the distribution of tasks between the MRPs, the determination of MRP movement routes, joint planning of works and their synchronization.
The requirements for a mobile robotic platform (MRP) with an intelligent traffic control system and data transmission protection are determined. Main requirements are the reduction of dimensions, energy consumption, and cost; remote and intelligent autonomous traffic control; real-time cryptographic data protection; preservation of working capacity in the conditions of action of external factors; adaptation to customer requirements; ability to perform tasks independently in conditions of uncertainty of the external environment.
The classification of network information resource semantic threats associated with resource’s information manipulation is proposed. Some attacks that realize semantic threats are described. For the semantic threats protection proposes the directions of complex network security system modification are shown.
According to the analysis of peculiarities of data protection in computer networks the necessity of usage of biometric data in user authentication services is founded. Adaptive method of user authentication in multilevel data protection system of computer network based on biometric data of fingerprints is introduced.