Modeling the Protection of Personal Data From Trust and the Amount of Information on Social Networks

Yevseiev, Serhii; Лаптєв, Олександр; Lazarenko, Sergii; Korchenko, Anna; Manzhul, Iryna

doi:10.21303/2461-4262.2021.001615

Cited by 18 publications

(11 citation statements)

References 16 publications

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“…To determine the relationship between the "prey" and the "predator," the threat classifier and expert assessment steps proposed in [25] and presented in Fig. 2, 3 are used.…”

Section: Research Materials and Methodsmentioning

confidence: 99%

“…In [25], it is proposed to use the Lotka-Volterra model to assess the dependence of personal data protection on the amount of information in the system and trust in social networks. As a result of research, the authors proved that the dependence of personal data protection on trust is proportional with other protection parameters unchanged.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

“…l M Tr . Based on the estimates given in [25,26,28], as well as expert estimates, we obtain the numerical value of the coefficient φ, which determines the mortality rate of "predators" in the Lotka-Volterra model φ=0.29.…”

Section: Cyber-physical Systems Safety Assessment Based On Finite-state Machine H Cpsmentioning

confidence: 99%

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Development of a method for assessing the security of cyber-physical systems based on the Lotka–Volterra model

Yevseiev

Pohasii

Milevskyi

et al. 2021

EEJET

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The paper presents the results of the development of a method for assessing the security of cyber-physical systems based on the Lotka–Volterra model. Security models of cyber-physical systems are proposed: “predator–prey” taking into account the computing capabilities and focus of targeted cyberattacks, “predator–prey” taking into account the possible competition of attackers in relation to the “prey”, “predator–prey” taking into account the relationships between “prey species” and “predator species”, “predator–prey” taking into account the relationship between “prey species” and “predator species”. Based on the proposed approach, the coefficients of the Lotka–Volterra model α=0.39, β=0.32, γ=0.29, φ=0.27 were obtained, which take into account the synergy and hybridity of modern threats, funding for the formation and improvement of the protection system, and also allow determining the financial and computing capabilities of the attacker based on the identified threats. The proposed method for assessing the security of cyber-physical systems is based on the developed threat classifier, allows assessing the current security level and provides recommendations regarding the allocation of limited protection resources based on an expert assessment of known threats. This approach allows offline dynamic simulation, which makes it possible to timely determine attackers' capabilities and form preventive protection measures based on threat analysis. In the simulation, actual bases for assessing real threats and incidents in cyber-physical systems can be used, which allows an expert assessment of their impact on both individual security services and security components (cyber security, information security and security of information). The presented simulation results do not contradict the graphical results of the classical Lotka–Volterra model, which indicates the adequacy of the proposed approach for assessing the security of cyber-physical systems

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“…To determine the relationship between the "prey" and the "predator," the threat classifier and expert assessment steps proposed in [25] and presented in Fig. 2, 3 are used.…”

Section: Research Materials and Methodsmentioning

confidence: 99%

Section: Literature Review and Problem Statementmentioning

confidence: 99%

See 1 more Smart Citation

Development of a method for assessing the security of cyber-physical systems based on the Lotka–Volterra model

Yevseiev

Pohasii

Milevskyi

et al. 2021

EEJET

Self Cite

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“…To assess the current state of the security level and individual security indicators, many different security indicators are used [13,14]. However, most of them are far from the results described above.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Development of a concept for cybersecurity metrics classification

Yevseiev

Milov

Оpirskyy

et al. 2022

EEJET

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The development of the IT industry and computing resources allows the formation of cyberphysical social systems (CPSS), which are the integration of wireless mobile and Internet technologies and the combination of the Internet of things with the technologies of cyberphysical systems. To build protection systems, while minimizing both computing and economic costs, various sets of security profiles are used, ensuring the continuity of critical business processes. To assess/compare the level of CPSS security, various assessment methods based on a set of metrics are generally used. Security metrics are tools for providing up-to-date information about the state of the security level, cost characteristics/parameters from both the defense and attack sides. However, the choice of such sets is not always the same/understandable to the average person. This, firstly, leads to the absence of a generally accepted and unambiguous definition, which means that one system is more secure than another. Secondly, it does not take into account the signs of synergy and hybridity of modern targeted attacks. Without this knowledge, it is impossible to show that the metric measures the security level objectively. Thirdly, there is no universal formal model for all metrics that could be used for rigorous analysis. The paper explores the possibility of defining a basic formal model (classifier) for analyzing security metrics. The proposed security assessment model takes into account not only the level of secrecy of information resources, the level of provision of security services, but also allows, based on the requirements put forward, forming the necessary set of security assessment metrics, taking into account the requirements for the continuity of business processes. The average value of the provision of security services to CPSS information resources is 0.99, with an average value of the security level of information resources of 0.8

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“…The work [13,15,27] is devoted to solving the problem of ensuring functional stability on the basis of Petri nets. In the works [14][15][16][17]24] network technologies of visual information transmission and development of information technology of task distribution for network systems using the simulation environment GRASS are considered. The methods mentioned in these works also use the mechanisms of network restructuring during anomalous overloads.…”

Section: Literature Reviewmentioning

confidence: 99%

Comprehensive Methods of Evaluation of Distance Learning System Functioning

Барабаш¹,

Лаптєв²,

Sobchuk³

et al. 2021

IJCNIS

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Given recent events, training during quarantine can only take place remotely. To ensure quality training, communication must be seamless. To do this, the network must function smoothly. The solution to this problem is functionally stable networks that allow uninterrupted transmission of information due to redundancy. An important issue is the definition of redundancy. To solve this problem, the article considers the method of synthesis of the structure of the distance learning system. The method of synthesis of network structure used for providing distance learning by the criterion of maximum functional stability on the basis of the introduction of correcting communication lines is offered. With this method, you can develop tools for self-recovery of distributed software, taking into account the characteristics of disparate computer resources through the use of redundancy. This will allow you to develop functionally stable software systems, significantly reduce the recovery time of such systems after or in the event of possible failures. To increase the efficiency of the developed method, the mathematical model of the hyper network based on two hypergraphs was improved, which allows taking into account different requirements for the quality of the network.

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Modeling the Protection of Personal Data From Trust and the Amount of Information on Social Networks

Cited by 18 publications

References 16 publications

Development of a method for assessing the security of cyber-physical systems based on the Lotka–Volterra model

Development of a method for assessing the security of cyber-physical systems based on the Lotka–Volterra model

Development of a concept for cybersecurity metrics classification

Comprehensive Methods of Evaluation of Distance Learning System Functioning

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