Malyshev E. V., Moskvin D. A., Zegzhda D. P.
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.
Lavrova D. S., Khushkeev A. A.
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.
Aleksandrova E.B., Shmatov V.S.
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
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
Vladimir I. Budzko, Dmitry A. Melnikov
Victor S. Gorbatov
Igor Y. Zhukov
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
Kulik S. D.
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.
Pavlenko E. Yu., Shtyrkina A. A., Zegzhda D. P.
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
Poltavtseva M.A., Kalinin M.O.
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
Aleksandrova E. B., Lavrova D. S., Yarmak A. V.
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
E.V. Zhukovskiy, M.O. Kalinin, I.I. Marshev
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.
Pavlenko E.Y., Suslov S.M.
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
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
Annotation:This article examines the existing systems that allow to partially or fully automate the penetration testing process using machine learning techniques. Their architecture and applied methods of machine learning are considered. On the basis of the analysis performed, solutions have been proposed for improving existing systems.
Keywords:machine learning, penetration testing, vulnerability scan, exploitation of vulnerabilities, social engineering, spear-phishing, automation
Poltavtseva M.A., Zegzhda D.P., Kalinin M.O.
Annotation:The paper deals with the concept and features of big data management systems, their differences from traditional DBMS. The authors describe changes in the intruder's model and new vulnerabilities of data management systems. A new threat model is being developed. The article presents new problems of information security in a distributed Big data processing and storage systems.
Keywords:Information security, Big data, vulnerability classification, intruder model, threat model
Annotation:The article considers the problem of secure Big data management systems development using a consistent approach. The author gives the features of Big data management systems, their differences from traditional DBMS. The paper presents the principles of a new, consistent approach to the secure Big data management systems development. The architecture of the security subsystem is proposed.
Keywords:Information security, Big data, data architecture, security principles, data model, process model
N. A. Grusho
Annotation:The paper reviews the multi-agent systems, their application, architectures, data storage methods. Different security analysis tools and information services are discussed with concern of automatic or automated data exchange. For modern digital infrastructures, the method of integration of multi-agent systems with security analysis tools (information services) has been proposed.
Keywords:security analysis, security, integration, multi-agent system, digital infrastructure
A.M. Sukhov, S.U. Gerasimov, M.A. Eremeev, V.I. Yakunin
Annotation:The article discusses an integrated approach to the studu of the functioning of systems. The feature of the proposed method of modeling is a complex disci-those are all factors affecting the efficiency of the process under study.
Keywords:detection system prevention and mitigation of computer attacks, the effectiveness of the targeted application, the intrusion, theory of the effectiveness of targeted processes
Annotation:he article considers the security of wireless sensor networks (WSN) against malicious nodes attacks. The authors of the article analyzed the threats of WSN and identified actual cyber-attacks. The proposed approach aimed at providing protection against malicious nodes using a fuzzy logic apparatus. As part of the proposed approach, nodes are able to change their behavior and maintain the stability of their operations in the context of cyber-attacks.
Keywords:Wireless Sensor Network, WSN, cyber-physical system, adaptive control, fuzzy logic
Ivanov D.V., Moskvin D.A., Kubrin G.S.
Keywords:web-sites security; web-vulnerabilities; dynamic web-vulnerability scanners.
Aleksandrova E.B., Rekhviashvili I.S.
Annotation:An approach is proposed to solve the problem of revoking the right to sign from a group member in ring signature schemes by adding a revocation center that checks the presence of a member certificate in the revocation list.
Keywords:RING SIGNATURE, LINKING-BASED REVOCATION
Mashkina I. V., Belova Ye. P.
Annotation:he analysis of publications devoted to the study of the world market of biometric systems and their dynamics of development. The features of biometric identification and authentication systems are considered. It is proposed to use the frequency of the fourth formant of vowel sound as a biometric parameter. The architecture of an artificial neural network is developed - a database of biometric images of personality. An experiment was conducted to identify errors of the 1st and 2nd type.
Keywords:Biometric image of a person, neural network database of biometric images, biometric parameter, frequency of the fourth formant of vowel sound, voice authentication.
Annotation:A hardware approach for building secure microcontrollers is proposed. In the framework of the proposed approach, additional modules are proposed for the microcontroller architecture.
Keywords:Internet of things, embedded systems, microcontrollers, microcontroller architecture, security hardware.
Pavlenko E.Y., Lemets A.A.
Annotation:Proposed a fuzzing method for smart contracts of the Ethereum platform, based on the use of a bee colony algorithm for generating test data. Presented the main stages of the described method, and a method for applying the bee colony algorithm for generating test data. The results of the experimental evaluation of the effectiveness of the proposed method are presented, which demonstrate an increase in the coverage of the code of smart contracts during fuzzing, as well as a decrease in the number of errors of the first kind without a significant increase in errors of the second kind.
Keywords:Ethereum, security of smart contracts, dynamic analysis of smart contracts, bees algorithm, fuzzing.
Ilchenko L.M., Gallyamova M.R., Yurin I.V., Zajcev S. I.
Annotation:The purpose of this work is to determine the category of significance of information objects of telecommunications enterprises as part of the critical information infrastructure of the Russian Federation in accordance with applicable law. To identify critical processes, the method of the mathematics by Thomas Saaty - “Analityc hierarchy process” (AHP) was used, which allowed to consider all the leading factors affecting the final result of the categorization.
Keywords:Information security, critical information infrastructure, telecommunication enterprise.
I.A. Sikarev, A.V.Garanin
Annotation:The article discusses the current state of the issue of the use of unmanned ships in the water transport field, as well as highlighted the most promising areas of application of remote piloting technology of ships. Details discussed the organization of information systems for data transmission, proposed protocols for use. Within the framework of the article, technical solutions for equipping specialized unmanned vehicles for wiring and mooring of heavy cargo ships are proposed.
Keywords:unmanned transport, remote control, NMEA-2000, AIS
R.A. Ognev, E.V. Zhukovskiy, D.P. Zegzhda
Annotation:The article describes a malware clustering approach based on the analysis of WinAPI-function call traces. The conducted research uses various clustering algorithms like k-nearest neighbors, EM (Expectation-Maximization) algorithm, hierarchical clustering and affinity propagation. Evaluation of the quality of clustering was carried out using metrics like Silhouette, Calinski–Harabasz index, Davies–Bouldin index.
Keywords:The article describes a malware clustering approach based on the analysis of WinAPI-function call traces. The conducted research uses various clustering algorithms like k-nearest neighbors, EM (Expectation-Maximization) algorithm, hierarchical clustering and affinity propagation. Evaluation of the quality of clustering was carried out using metrics like Silhouette, Calinski–Harabasz index, Davies–Bouldin index.
Zaitceva E.A., Zegzhda D.P., Poltavtseva M.A.
Annotation:In this work, a case-based reasoning approach to security evaluation of computer systems is proposed. To implement case-based reasoning it was proposed to use a graph representation in combination with the improved bag-of-objects method. The results of experimental studies confirming the effectiveness of the approach are presented.
Keywords:information security, case-based reasoning, graph theory, security evaluation.
Dakhnovich A.D., Moskvin D.A., Zegzhda D.P.
Annotation:In the paper, specifics of providing cybersecurity of Industrial Internet of Things in contrast of Industrial Control Systems “Defense-in-Depth” approach. Threat taxonomy classes are also provided. 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:internet of things, digital manufacturing, cybersecurity, industry 4.0, cyber-physical systems.
D. Zegzhda, E. Pavlenko, D. Lavrova, A. Shtyrkina
Annotation:The article proposes a sustainability criterion for cyber-physical systems, which is the number of routes of a certain quality, which allow to perform the objective function. Routes are built on a graph that simulates the system. Attacking impacts and system restoration measures that prove the applicability of the criterion for assessing the sustainability of cyber-physical systems are considered.
Keywords:sustainability, cyber sustainability, cyber resilience, cyber-physical system, information security, graph theory.
D.P. Zegzhda, D.S. Lavrova, A.V. Yarmak
Annotation:Kalman filter is an efficient data processing algorithm that removes noise and unnecessary information, and also performs system state prediction. This paper proposes the use of a Kalman filter to solve the problem of forecasting time series describing the gasoil heating loop process. The limitations associated with this approach are described, as well as the advantages compared to other predictive models
Keywords:cybersecurity, Kalman filter, time series, time series analysis, time series forecasting.
Zaitceva E.A., Zegzhda D.P., Poltavtseva M.A.
Annotation:APPLYING OF GRAPH REPRESENTATION AND CASE-BASED REASONING FOR SECURITY EVALUATION OF COMPUTER SYSTEMS
Keywords:information security, case-based reasoning, graph theory, security evaluation.
M. L. Gluharev, M. F. Solomatova
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
V. N. Kostin
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
T. N. Saurenko, V. G. Anisimov, E. G. Anisimov, V. V. Kasatkin, A. F. Suprun
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
S. V. Belim, N. F. Bogachenko
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.
A. P. Baranov, P.A. Baranov
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.
V. I. Doroshenko, A. N. Pivovarov, Y. G. Ksenofontov
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.
I. A. Sikarev, A. V.Garanin
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.
A. Yu. Garkushev, A. V. Kurilov, A. F. Suprun, D. P. Gasyuk
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.
M. E. Sukhoparov, I. S. Lebedev, K. I. Salakhutdinova
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
E. Y. Pavlenko, M. D. Stepanov
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.
D. S. Lavrova, P. A. Averyanova
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.
V. M. Krundyshev
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
E. Y. Pavlenko, K. V. Kudinov
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
E. B. Aleksandrova, A. A. Shtyrkina, A. V. Yarmak
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
E. A. Zaitceva, D. S. Lavrova
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
M. O. Kalinin
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.