Organization of the entrusted calculations in crucial objects of informatization under uncertainty

Vorobiev, E. G.; Petrenko, Sergei; Kovaleva, I. V.; Abrosimov, I. K.

doi:10.1109/scm.2017.7970566

Cited by 10 publications

(3 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Soft computing is normally undertaken in apparent cases of available statistics on testing and debugging software products and systems. As mentioned before, the most popular approaches include the use of artificial neural system technologies [19,[31][32][33] and fuzzy set apparatus [34][35][36][37]. Given below are examples of developing such models.…”

Section: Use Of Soft Computingmentioning

confidence: 99%

Simulation of Software Security Tests by Soft Computational Methods

Markov¹,

Markov²,

Tsirlov³

2019

Proceedings of the VIth International Workshop 'Critical Infrastructures: Contingency Management, Intelligent, Agent-Based, Clo

View full text Add to dashboard Cite

The worth of the using of software performance reliability assessment models at early testing stages is shown. The characteristic property of nonmonotonic increasing of performance reliability of current software systems is underscored. Ways of enhancing adequacy and fidelity of software testing simulation are exemplified. The conditions of using of soft computing for assessing the reliability and security of information systems software are shown.

show abstract

Section: Use Of Soft Computingmentioning

confidence: 99%

Simulation of Software Security Tests by Soft Computational Methods

Markov¹,

Markov²,

Tsirlov³

2019

Proceedings of the VIth International Workshop 'Critical Infrastructures: Contingency Management, Intelligent, Agent-Based, Clo

View full text Add to dashboard Cite

show abstract

“…Incomplete information on the software structure, principles and functioning, heterogeneity of its composition, presence of imported elements, and insufficient specifications make it difficult to evaluate and predict the software reliability. In these cases, traditional approaches to acquisition and forecasting of reliable values are associated with significant costs; that is why models based on the fuzzy sets of theory that allow estimating the software reliability with practically acceptable accuracy are of immediate interest [26][27][28].…”

Section: Fuzzy Model Of Software Reliability and Security Evaluation-mentioning

confidence: 99%

Models for Testing Modifiable Systems

Markov¹,

Barabanov²,

Tsirlov³

2018

Probabilistic Modeling in System Engineering

View full text Add to dashboard Cite

The work describes reliability and security growth models for modifiable software systems as a result of revisions and tests performed for specified input data areas. The work shows that the known reliability growth models are of monotonically increasing type, which is not in line with current multi-version team technologies of software development that are primarily based on the open-source code. The authors suggest new nonmonotonically increasing models of software reliability evaluation and planning that allow taking into account the effect of decreased reliability resulting from updates or wavefront errors. The work describes the elaborated bigeminal and generic reliability evaluation model as well as the models and test planning procedures. The work includes calculated expressions for the evaluation of the model accuracy and shows that the developed models are adequate to real data. An example is given of transition from probability models to fuzzy models in case of incomplete basic data. The work provides general recommendations for selection of software tool testing models.

show abstract

“…In most countries requirements for information security critical information infrastructure are mostly of a voluntary nature, but in connection with the increasingly active terrorist groups using cyber-attacks, the nature of these claims is gradually shifting towards mandatory [1] legislation in combating cybercrime and protecting critical infrastructure are becoming tougher all over the world.…”

Section: Introductionmentioning

confidence: 99%

Methodology of security assessment automated systems as objects critical information infrastructure

Butusov¹,

Systemprom²,

Romanov³

2018

Cybersecurity issues

View full text Add to dashboard Cite

The technique of estimation of protection of critically important properties of the automated systems as objects of critical information infrastructure is offered. Privacy, integrity and availability of protected resources with different categories of importance are identified as critical properties. It is shown that the existing models of information security systems as part of automated systems and methods for assessing the security of critical properties do not fully reflect the specifics of information security systems as complex organizational and technical systems, the behavior of which, as a rule, reflects the dynamics of poorly structured processes, characterized by a high degree of uncertainty due to non-stationarity, inaccuracy and insufficiency of observations, fuzzy and unstable trends. The reliability of estimates of resource security of automated systems significantly depends on the selected model of formation of the structure of the information security system. Most effective way to increase the reliability of estimates of security is the distribution model of protection mechanisms in the neutralized threats. The statement and the scientific problem of estimation in the conditions of high uncertainty of protection of resources of the automated systems from violations of its critical properties-confidentiality, integrity and availability of the protected resources with various categories of importance is resulted. Determined constraints and assumptions for the task. On the basis of the model of formation of structure of information security system of automated systems by distribution of protection mechanisms on neutralizable threats of information security the values of potential risk from realization of actual threats are determined for each level of protection. The technique is used in the design and development of automated systems of state and military administration.

show abstract

Organization of the entrusted calculations in crucial objects of informatization under uncertainty

Cited by 10 publications

References 0 publications

Simulation of Software Security Tests by Soft Computational Methods

Simulation of Software Security Tests by Soft Computational Methods

Models for Testing Modifiable Systems

Methodology of security assessment automated systems as objects critical information infrastructure

Contact Info

Product

Resources

About