Annotation:

This work contains results of artificial neural network development, with is designed for automatically attacks detection in VANET-networks. In the course of the thesis were used such research methods as analysis and modeling, they were applied to select the most prospective method of Gray Hole attack detection in VANET-networks. According to the results of experimental studies, there was evaluated an effectiveness of this method, a method was characterized as great.

Keywords:

VANET-networks

Pages 11-17

Annotation:

Proposed an approach for information security breaches detection in distributed control systems based on prediction of multivariate time series formed of sensor and actuator data.

Keywords:

data prediction, multivariate time series, network attacks, convolutional neural networks.

Pages 18-30

Annotation:

A control protocol in the systems for goods and services reviews, based on non-interactive zero-knowledge proof, is proposed. The user keys are stored as Merkle tree. The protocol ensures anonymity of the author of the reviews and does not allow one user to leave more than one review per product or service.

Keywords:

zero-knowledge, control of reviews, Merkle tree

Pages 31-40

Annotation:

In the article some properties of the «alternations» statistic are proved. For example, we investigate properties of the scheme when «alternations» are independent. This fact allows us to construct new goodness-of-fit test.

Keywords:

goodness-of-fit test, series, binary sequence

Pages 41-44

Annotation:

Currently, there is a tendency to over-promote the phenomenon of blockchain technology (BC), which is supposedly universal and has all-pervasive possibilities for revolutionary transformation of the various areas of social activity, including business and state governance. As an example, the relatively successful development of the so-called cryptocurrencies, which have already won a certain share of public relations at both the national and global levels, is given. The presence of such mass statements is explained by the fact that the description of the obvious advantages of the BС is carried out without a detailed and comprehensive risk analysis of the practical implementation of its basic concepts, including information security of the appropriate applications. The proposed work shows methods for ensuring a consensus between fundamentally distrustful users, who ensure the relative stability of cryptocurrency systems even in the absence of a centralized (state and, moreover, international) level of regulation. An appropriate classification of systems based on the BC and their features are given. Along with this, this paper focuses on the need for a thorough and comprehensive analysis of the information security risks associated with the BC use. It is shown that at the present stage of the BC systems development, they do not provide reliable user authentication, reliable system management, guarantees of secure generation, distribution and storage of cryptographic keys, guaranteed possibility of returning the values stolen by hackers, and also do not implement the principle of non-repudiation. The conclusion is made about the expediency of its further comprehensive application, based on the fact that the BC unreasonable use can cause considerable damage at the level of the whole sector of the economy. This article is a continuation of publications about the properties and features of blockchain technology.

Keywords:

blockchain; cryptocurrency; digital wallet; digital signature; transaction; fork; smart contract; authentication; non-repudiation; information security

Pages 45-54

Annotation:

The main purpose of the article is to present the necessary elements of system analysis necessary for training future university specialists in the field of information security for example, applied information (computer) technologies. The main focus is on the effectiveness of the system, which can be assessed using indicators expressed in posynomials. The indicator is represented by a posynomial. Then apply well-developed tools to minimize posynomial. We used the necessary principles and methods of system analysis, as well as geometric programming. In this case, geometric programming is considered as a tool for solving problems of system analysis in the field of information security. The result of the optimization of the information security effectiveness indicator is presented on a training example while minimizing the posynomial. The students learn the system analysis elements. Students solve optimization problems. Recommendations were developed for solving typical educational problems for students. In conclusion, it is concluded that it is necessary to pay more attention in the framework of the educational process to the elements of system analysis.

Keywords:

system analysis, system, indicator, criterion of effectiveness, geometric programming, information security.

Pages 55-59

Annotation:

Paper proposed an approach to estimating the sustainability of cyber-physical systems based on system state analysis. As a criterion, it is proposed to use the structural characteristic of the graph, which describes the CPS. For a numerical assessment of sustainability, authors propose to use properties of graph spectrum distribution – set of eigenvalues of adjacency matrix corresponding to the graph.

Keywords:

sustainability; cyber sustainability; cyber resilience; cyber-physical system; information security; spectral graph theory

Pages 60-67

Annotation:

The article presents a model of Big data management system designed to solve the problems of information security (IS) systems of this class. The features of this class of systems are highlighted, the mathematical definition of the model and architecture of data processing in accordance with the concept of ANSI/SPARC and the principles of modeling information systems in is are given. The analysis of the model is carried out.

Keywords:

data management systems, Big data, information security, system modeling

Pages 69-78

Annotation:

Benford's law describes the frequency distribution of leading digits in numerical data taken from real processes. In particular, it is widely used to detect anomalies in financial data. The paper proposed applying Benford's law to detect DoS-attacks in components of large-scale industrial systems. The experimental results for the data generated by the system sensors from industrial Tennessee Eastman process are given.

Keywords:

information security, Benford’s law, time series, large-scale industrial systems

Pages 79-88

Annotation:

Detection of malicious software is an essential part of the security of computer systems. This paper presents machine learning-based classifiers which are developed due to the analysis of main characteristics of executable files. The conducted research uses various classification algorithms like decision tree, adaptive and gradient boosting, random forest, Naive Bayes, k-nearest neighbors and neural networks.

Keywords:

computer security, malware detection, classification, machine learning, neural network, random forest, decision tree, static analysis.

Pages 89-99

Annotation:

Proposed an approach to detecting malware for the Android operating system using a capsular neural network. The approach is to build a CMYK image, the pixels of which are formed based on the sequence of actions performed by the application under study. The results of experimental studies of the proposed campaign demonstrate its high efficiency for solving the problem of determining malicious Android applications.

Keywords:

malicious applications, malware detection, Android operating system, application security analysis, capsule neural network, Android security

Pages 100-111

Annotation:

he article describes an approach to identify malicious software based on the analysis of its functionality. To ensure the completeness of the analysis, it is proposed to use dynamic symbolic execution to determine the conditions for reaching the target program blocks. To optimize the process of searching for the ways of program execution leading to the execution of malicious operations, the methods reinforcement learning are used

Keywords:

computer security, malware detection, malicious activity, machine learning, symbolic execution, reinforcement learning, targeted attacks

Pages 112-122

Annotation:

This paper is devoted to the problem of access control in universal object-oriented databases. It considers the aspects of data processing and access control in databases.

Keywords:

Object-Oriented Databases; Information Safety, Access Control, Database Control Systems

Pages 9-16

Annotation:

The paper discusses one of the approaches to the estimation of hazards emergency situation, using information and a probability method. Based on guidance documents rapid emergency assessment and formed a whole series of typical disaster with the corresponding characteristics. The scale of the disaster describes the magnitude of the potential danger in the form of a portion of entropy. Formed nonlinear number of emergencies on the degree of danger.

Keywords:

Estimation of Danger of an Emergency Situation; Information and Probabilistic Method; Entropy

Pages 17-23

Annotation:

Methodical approaches to the construction of conditionally deterministic and stochastic models for predicting damage during information security incidents in information systems for various purposes are proposed. The initial information for the simulation is a priori data on the possible nature of the predicted processes, obtained on the basis of operating experience of similar information systems and expert assessments, as well as statistical data on the temporal and volumetric characteristics of damages during information security incidents in the system under study. Integration of data is based on the principle of maximum uncertainty.

Keywords:

Information Systems, Information Security Incidents, Damage Prediction Mmodels

Pages 24-28

Annotation:

A threshold secret sharing scheme which distributes the secret between the nodes of a treelike graph is proposed. Nodes, the descendants of which cover all set of leaf nodes, can reconstruct the secret. Otherwise nodes do not obtain any information on a secret. The scheme is based on the construction of a polynomial. Coefficients of а polynomial are defined by the structure of the graph.

Keywords:

Secret Sharing, Hierarchy of Users, Binary Tree, Polynomial.

Pages 29-34

Annotation:

Control sum mechanism efficiency research aimed at distortion revealing in a message being transmitted is a relevant task that is solved using different possible information transfer operation condition models. In this paper distortions are modelled as an overlay of noise component with low signal/noise ratio , which poses most practical interest. Considered class of control sums is related to message consistency control mechanisms which are implemented, in particular, in TCP protocol. Functional dependency of control sum error probability from value is acquired for latter’s low value.

Keywords:

Information Security, TCP, CRC, Control Sum, Error Probability, Distortion Model.

Pages 35-40

Annotation:

A methodology for quantifying the security of monitoring the operability of technical equipment in the system for controlling the movement of vessels along the Northern Sea Route using meteor communication networks of the Russian Arctic is described.

Keywords:

Meteor Communication Network, Monitoring, Meteor Trail, Network Topology, Fragmentation, Defragmentation.

Pages 41-48

Annotation:

The principle and structure of the creation of a control and monitoring algorithm for a remotely controlled sea vessel are described. Movement modes of the controlled towing vessel are considered in detail, subject to the influence of the typical for the port disturbances. The characteristics and methods for calculating the influence of interference to ensure the information security of communication channels of unmanned vessels are provided.

Keywords:

global navigation satellite system, unmanned navigation, automated ship traffic control systems.

Pages 49-55

Annotation:

Paper is devoted to development of the technique allowing to estimate reasonably quality of an information system in the conditions of purposeful malefaction counteraction who apply modern means of distortion, substitution of information and failure of information exchange. The scientific basis of the offered technique is made by composition of the scientific device of decision-making in the conditions of uncertainty and the theory of mass service information security.

Keywords:

Quality of Information, Information Counteraction, Integrity of Information Content, Protection of Information.

Pages 56-61

Annotation:

The means software control installed on personal computers of automated systems users were considered. The shortcomings of such software solutions are substantiated and the approach to the use of executable files using the machine learning algorithm, gradient boosting decision trees, based on the XGBoost, LightGBM, CatBoost libraries is presented. Program identification performed by using XGBoost, LightGBM. A comparison of the experimental results with previous studies by other authors. The obtained results show that the developed approach allows revealing established security policy violations when processing information in automated systems.

Keywords:

Information Security, Program Identification, Machine Learning, Gradient Boosting Decision Trees

Pages 62-67

Annotation:

Using the bee colony algorithm for modeling intelligent systems based on self-organizing FANET networks (Flying Ad Hoc Networks) is proposed. A mathematical model of an intelligent fire extinguishing system has been developed, and possible cyberattacks on it have been described and modeled. For each cyberattack scenario, a counter-scenario has been developed with a strict mathematical description.

Keywords:

Bee Colony Algorithm, Cyberattack, FANET, Mathematical Model.

Pages 68-74

Annotation:

An approach to the early detection of cyberattacks on industrial systems is proposed, based on a predictive analysis of the time series of system components using the Kalman filter and the Random Forest machine learning algorithm to automatically classify predicted values into normal and abnormal.

Keywords:

Cyberattack, Kalman Filter, Adaptive Forecasting, Time Series Analysis, Machine Learning, Random Forest Algorithm.

Pages 75-84

Annotation:

The transition from the information economy to the digital presents new challenges to the community related to the development of breakthrough technologies, a network of cyber-physical systems, artificial intelligence, and big data. When creating digital platforms, a number of difficulties arise: the large dimension of the digital infrastructure and its heterogeneity, poorly established information interaction between the segments, the lack of a common approach to ensuring cybersecurity and high dependence on personnel qualification and reliability of equipment. The introduction of the digital economy leads to an increase in the risk of cyber threats associated with problems of access control between systems, regulation of information and control flows. For solving cyber threat detection tasks it is proposed to use generative adversarial neural networks. Training and testing algorithms of the neural network are provided. The experimental results demonstrated that the proposed solution is highly accurate in detecting cyberattacks.

Keywords:

Artificial Intelligence, Cybersecurity, Digital Manufacturing, Generative Aadversarial Networks, Neural Networks, GAN, IIoT

Pages 85-92

Annotation:

The paper discusses the application of the ant algorithm to ensure the cyber resilience of a distributed network under various types of cyberattacks. The principle of the ant algorithm operation is described, a mathematical model of the network infrastructure is developed, and possible types of cyberattacks are identified within the model. The results of experimental studies have demonstrated the applicability of the ant algorithm to ensure the cyber resilience of large-scale distributed networks.

Keywords:

Cyber Resilience, Ant Algorithm, Cyberattack, Mathematical Model, Pheromone

Pages 93-103

Annotation:

Cryptographic access control is a relatively new concept that implements the rules for restricting the access of some entities to an object using cryptographic primitives. With the advent of a quantum computer, the discrete logarithm and factorization problems, which are used in public key cryptosystems, can be solved in polynomial time. In this regard, there is a need to search for new mathematical problems that are resistant to attacks on both classical and quantum computers. One of the promising problems is to compute the isogeny of supersingular elliptic curves. The article proposed cryptographic access control scheme based on isogeny, an analysis of protocol security and the results of practical implementation in SAGE.

Keywords:

Cryptography, Post-Quantum Cryptography, Cryptographic Access Control, Elliptic Curves, Isogeny of Elliptic Curves

Pages 104-114

Annotation:

An approach for self-regulation of the cyberphysical systems network infrastructure using the mathematical apparatus of de Bruijn graphs and intersection graphs used in the bioinformatic problem of genome assembly is proposed. This approach reduces the time of system reconfiguration due to faster “adhesion” of the restored sections of the target function.

Keywords:

self-regulation, graph model, cyber-physical system, informational security, de Bruijn graph, intersection graph

Pages 115-124

Annotation:

The paper reviews a neuro-fuzzy system, the hybrid soft computing structures that integrate elements of artificial neural networks and fuzzy logic. Modern neuro-fuzzy systems are investigated, neuro-fuzzy tools for detecting the scanning of computer network nodes using a neuro-fuzzy approach are proposed, and the effectiveness of this technology is analyzed. The applicability of a hybrid neuro-fuzzy system that combines the direct signal propagation neural network and the Takagi — Sugeno fuzzy basis is substantiated and confirmed.

Keywords:

Security, Artificial Intelligence, Neuro-Fuzzy Reasoning, Neural Network, Fuzzy Logic, Network Scanning, Takagi — Sugeno, ANFIS, Soft Computing.

Pages 125-136

Annotation:

The article considered a theoretical approach, the application of which would make it possible to formulate a reasonable version of the construction of distributed systems and telecommunications for the benefit of the digital economy under conditions of external special software and technical impacts and taking into account the effective restoration of elements of distributed systems and telecommunications.

Keywords:

Connectivity, distributed system, efficient recovery.

Pages 9-12

Annotation:

The article is devoted to the study of fundamentally new methods of encryption of information by means of coding means in the form of pictures with high density of data placement inside standard frame images. Combining traditional cryptographic techniques with information-based nano bar code technologies provides more durable ways to prevent unauthorized access to information resources.

Keywords:

bar code, frame, information protection.

Pages 13-19

Annotation:

The article analyzes the security of modern data architectures implemented in relational DBMSs. The authors focus on attacks that use inference methods, which traditional access control methods do not protect against. Examples of such attacks are given and fundamental approaches to defending against them are analyzed. It is proposed as a protective measure the development of special software built and functioning according to the principles of intelligent analysis.

Keywords:

information security, data architecture, data storage security, data processing security, intelligent analysis

Pages 20-25

Annotation:

The issues of ensuring the information security of autonomous objects are considered. The prerequisites for the use of additional independent methods for assessing the state of autonomous objects are determined. Side channels are described with which it becomes possible to monitor the states of individual intelligent agents. An experiment was conducted, which consisted in the accumulation of statistical information on various types of maneuvers of an unmanned object using two audio recording devices. The behavior model of an autonomous object can be used as an additional element to determine the state of information security of autonomous objects. Using a segmented model, it was possible to improve the accuracy of determining the state of information security.

Pages 26-34

Annotation:

The principles of the functioning of the Arduino hardware platform are investigated. The security problems that may arise when using this hardware platform are analyzed.

Keywords:

Internet of things, embedded systems, Arduino, AVR, microcontrollers, security hardware.

Pages 35-39

Annotation:

Criteria of priority of processes occurring on the elements of critical information infrastructure (CII) to maintain the required level of security are considered. The following are selected as indicators of the priority criteria of processes: importance and problematic. It is proposed to evaluate the priority of processes by the integrated indicator «Process Priority Index», comparing the processes with each other and setting them in a ranked list by priority of maintaining the required level of protection of KII, based on a qualification approach. The characteristics of the rating scales for assessing the criteria for the priority of processes determined by the expert method taking into account the competence of experts are proposed. Calculation of the proposed criteria and the process priority index allows to obtain a numerical integral assessment of the process priority.

Keywords:

process, priority, priority criteria, qualimetric approach.

Pages 40-44

Annotation:

A methodological approach to the construction of models for predicting the properties of information security systems at the evolutionary stages of development is proposed. The approach is based on the representation of the development of information security systems as a process of change in the permissible range of indicators characterizing their properties. It is assumed that the amount of resources spent on improving each property, the greater the closer the current value of the indicator characterizing this property to the maximum possible value for the considered information security system. This circumstance is taken into account by reducing the relative rates of improvement of indicators as they approach their values to the maximum possible.

Keywords:

information security system, system properties, property indicators, development forecasting, model.

Pages 45-49

Annotation:

The article proposes method for audit quality enhancement while performing corporate network practical threat modelling by increasing stealth of presence inside by outgoing network link quantity minimization.

Keywords:

cyberthreat modelling, information security audit, pentest, penetration testing, routing

Pages 50-55

Annotation:

In article the generalized keys pre-distribution scheme is suggested. Calculations are carried out in the any vector space. Key materials are formed based on elements of a vector space and the symmetric operator over a vector space. Two special cases for implementation of the suggested scheme are considered.

Keywords:

keys pre-distribution scheme, vector space, symmetric encryption.

Pages 56-60

Annotation:

The paper considers value which is error probability in every of four message block integrity checking methods: digital signature, cyclical redundant code, control sums in vector space over a field of two elements and control sums in a ring of integers , where is the checking code length. Comparison of asymptotic representations for with small , which is distortion of transmitted binary signal and for large which is transmitted block’s volume is presented in the paper. Values of main members for asymptotic decomposition for value with , are obtained for the integrity checking methods noted. These values are calculated as an example for parameters of TCP protocol segments.

Keywords:

information security, TCP, CRC, control sum, error probability, distortion model, digital signature, comparison, integrity.

Pages 61-66

Annotation:

The author proposes an approach to provide cyber sustainability of complex industrial systems, which consists in the ability of the system to function correctly under cyber attacks. The proposed approach is based on the principles of molecular-genetic control systems and self-regulation of living tissue.

Keywords:

cyber sustainability, self-regulation, cyberphysical systems, molecular-genetic control system.

Pages 67-71

Annotation:

The model of cyberattacks on digital production systems is presented. The examples of the most significant information security incidents in this type of systems are considered in full detail. Possible approaches to ensuring the cybersecurity of digital production systems are described.

Keywords:

information security, cyberattack, cyber security, digital production.

Pages 72-75

Annotation:

This article presents an approach to building a system for identifying cyberthreats in modern industrial systems (IIoT, VANET, WSN) by means of artificial intelligence and deep learning. The results of the tests conducted to assess the suggested approach for efficiency based on deep learning networks are provided.

Keywords:

cybersecurity, cyberphysical infrastructure, industrial systems, artificial intelligence, machine learning, deep learning networks, IIoT, WSN, VANET.

Pages 76-83

Annotation:

The article considers the usage of taint-analysis for improving the security exploration efficiency of the software running on ARM architecture. The comparative analysis of existent dynamic binary instrumentation frameworks is performed and the most acceptable one is chosen to satisfy requirements of the task. The modification of its functionality is finished in order to improve the analysis efficiency of input data influence on explored program operation.

Keywords:

Taint analysis, The Internet of Things (IoT), cyber-physical system, vulnerability

Pages 84-91

Annotation:

In the paper, a step-by-step Industrial Internet of Things deployment in brownfield environment is described. Also key features of each step are provided. Threat taxonomy classes are provided while digitalization process. Based on the cybersecurity threats analysis the requirements for Industrial Internet of Things resilience against network threats are described, as well as and approach for architecting industrial systems networks with cybersecurity by design.

Keywords:

digital manufacturing, cybersecurity, industry 4.0, industrial internet of things, critical information infrastructure.

Pages 92-100

Annotation:

The author proposes an approach for predicting the state of smart grid components, which is based on a combination of the mathematical techniques of the Kalman filter and machine learning. Prediction of the state will make it possible to detect cyberattacks implemented against a smart grid at an early stage.

Keywords:

smart grid, cyber-attack prediction, Kalman filter.

Pages 101-104

Annotation:

The paper offers an approach to detecting information security breaches in digital production systems using a graph representation of the component interaction.

Keywords:

information security, breach detection, cybersecurity, digital production.

Pages 105-107

Annotation:

One of the commonly known approaches to network security is the intrusion detection system (IDS) that analyzes the behavior of traffic and hosts in the network. This article presents a technique for generating datasets for the IDS and provides their characteristics as well as defines the features of typical attacks against industrial systems. The results can be used for training the AI IDS in detecting security threats to modern industrial systems.

Keywords:

dynamic networks, artificial intelligence, cybersecurity, computerized learning, dataset preparation, industrial systems, IDS.

Pages 108-114

Annotation:

The paper considers blockchain based systems threats caused by uneven distribution of computational power. The blockchain based system model allowing to assess security against the specified threats is proposed.

Keywords:

Blockchain, 51% attack, security assessment.

Pages 114-117