The results of developing post-quantum algorithms of McEliece and Niederreiter crypto-code constructs based on LDPC (Low-Density Parity-Check) codes are presented. With the rapid growth of computing capabilities of mobile technologies and the creation of wireless mesh and sensor networks, Internet of Things technologies, and smart technologies on their basis, information security is becoming an urgent problem. At the same time, there is a need to consider security in two circuits, internal (directly within the network infrastructure) and external (cloud technologies). In such conditions, it is necessary to integrate threats to both the internal and external security circuits. This allows you to take into account not only the hybridity and synergy of modern targeted threats, but also the level of significance (degree of secrecy) of information flows and information circulating in both the internal and external security circuits. The concept of building security based on two circuits is proposed. To ensure the security of wireless mobile channels, it is proposed to use McEliece and Niederreiter crypto-code constructs based on LDPC codes, which allows integration into the credibility technology of IEEE 802.15.4, IEEE 802.16 standards. This approach provides the required level of security services (confidentiality, integrity, authenticity) in a full-scale quantum computer. Practical security technologies based on the proposed crypto-code constructs, online IP telephony and the Smart Home system based on the use of an internal server are considered

this article describes attacks methods, vectors and technics used by threat actors during pandemic situations in the world. Identifies common targets of threat actors and cyber-attack tactics. The article analyzes cybersecurity challenges and specifies possible solutions and improvements in cybersecurity. Defines cybersecurity controls, which should be taken against analyzed attack vectors.

The object of research are decoys with dynamic attributes. This paper discusses the impact of decoys involving blockchain technologies on the state of information security of the organization and the process of researching cybercrime. This is important because most cybercrimes are detected after the attacker gains access to sensitive data. Through systematic analysis of the literature focused on assessing the capabilities of decoy and blockchain technologies, this work identifies the main advantages of decoys that utilize blockchain technology. To assess the effectiveness of attacker detection and cybercrime analysis, controlled experiments were conducted using a blockchain-based decoy system that we developed aimed at determining network performance. As part of the study reported here, a technique is proposed to detect cybercrime using decoys based on blockchain technology. This technique is based on the fact that the attributes of the system change dynamically. Such a technique has made it possible to obtain a system model that solves the task of detecting decoys by intruders. In addition, the developed scheme reduces the load in contrast to the conventional fixed solution. The results indicate that the response time of services is significantly reduced in the environment of decoys with dynamic attributes. For example, Nginx's response time in a static host is twice as high as dynamic, and an Apache dynamic server can still respond to an intruder's attack even if a static server fails. Therefore, the results reported in the article give grounds to assert the possibility of using the solution in the infrastructure of information systems at the public and private levels

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