Minor and Junior Oil Companies Problems in Russia

Astakhov, A.M.; Astakhov, S.M.

doi:10.3997/2214-4609.202050088

Cited by 1 publication

(5 citation statements)

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“…Vulnerability in itself does not cause damage it is only a condition or set of conditions that allows a threat to harm assets. When a threat is realized, one or more vulnerabilities of an asset can be used [58]. At that, one type of vulnerability can lead to many various security threats.…”

Section: Enhanced Clements-hoffman Model For Databasesmentioning

confidence: 99%

“…However, obtaining accurate P t i , P γ ψ , L l , and R l values is not an easy task. This is often not possible in practice [58]. In addition, to paraphrase Zadeh [65], as system complexity increases, analytical precision decreases [35].…”

Section: Evaluation Technique Of Database Securitymentioning

confidence: 99%

“…An analysis of various relevant sources on the problems of information risk management [53,58,66,67] showed that to evaluate P t it is enough to enter three verbal gradations with the corresponding approximate quantitative estimates, without which any qualitative scale is meaningless:…”

Section: Evaluation Technique Of Database Securitymentioning

confidence: 99%

“…This three-level scale, as noted by some experts [53,58,66,67], is usually sufficient for an initial high-level assessment. This is explained by the fact that estimates of the expected frequency of occurrence of a threat from level to level on a qualitative scale differ significantly, so it is unlikely that competent experts would be greatly mistaken in their estimates.…”

Section: Evaluation Technique Of Database Securitymentioning

confidence: 99%

“…On the other hand, the value of the frequency estimate can be converted into the numerical equivalent of the probability of the threat occurrence, corresponding to a certain range of values. The results of the analysis of relevant sources [66,68,69] Then, using the well-known qualitative scales used in assessing information security risks [53,58,66,67], in particular, a three-level qualitative scale, we define the names of fuzzy variables-a set of values of a term-set T: T = {"low likelihood", "moderate likelihood", "high likelihood"} = {"L", "M", "H"}, that is α 1 = "L", α 2 = "M", α 3 = "H".…”

Section: Evaluation Technique Of Database Securitymentioning

confidence: 99%

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Technique for Evaluating the Security of Relational Databases Based on the Enhanced Clements–Hoffman Model

et al. 2021

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Obtaining convincing evidence of database security, as the basic corporate resource, is extremely important. However, in order to verify the conclusions about the degree of security, it must be measured. To solve this challenge, the authors of the paper enhanced the Clements–Hoffman model, determined the integral security metric and, on this basis, developed a technique for evaluating the security of relational databases. The essence of improving the Clements–Hoffmann model is to expand it by including a set of object vulnerabilities. Vulnerability is considered as a separate objectively existing category. This makes it possible to evaluate both the likelihood of an unwanted incident and the database security as a whole more adequately. The technique for evaluating the main components of the security barriers and the database security as a whole, proposed by the authors, is based on the theory of fuzzy sets and risk. As an integral metric of database security, the reciprocal of the total residual risk is used, the constituent components of which are presented in the form of certain linguistic variables. In accordance with the developed technique, the authors presented the results of a quantitative evaluation of the effectiveness of the protection of databases built on the basis of the schema with the universal basis of relations and designed in accordance with the traditional technology of relational databases.

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Section: Enhanced Clements-hoffman Model For Databasesmentioning

confidence: 99%

Section: Evaluation Technique Of Database Securitymentioning

confidence: 99%

Section: Evaluation Technique Of Database Securitymentioning

confidence: 99%

Section: Evaluation Technique Of Database Securitymentioning

confidence: 99%

Section: Evaluation Technique Of Database Securitymentioning

confidence: 99%

See 3 more Smart Citations