Application of virtualisation environment for data security in operational data processing systems

This paper presents a concept, developed and tested by the authors, of a virtualisation environment enabling the protection of aggregated data through the use of high availability (HA) of IT systems. The presented solution allows securing the central database system and virtualised server machines by using a scalable environment consisting of physical servers and disk arrays. The authors of this paper focus on ensuring the continuity of system operation and on minimising the risk of failures related to the availability of the operational data analysis system.

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Analyzing TEDS using the new graphing features of the online data analysis system (DAS)

PsycEXTRA Dataset ◽

10.1037/e434252005-001 ◽

2005 ◽

Author(s):

Keyword(s):

Data Analysis ◽

Online Data ◽

Analysis System ◽

Data Analysis System

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Reinforcing the cyber resilience of a credit institution in Industry 4.0

National Interests Priorities and Security ◽

10.24891/ni.16.6.998 ◽

2020 ◽

Vol 16 (6) ◽

pp. 998-1012

Author(s):

G.V. Fedotova ◽

D.D. Tkachenko

Keyword(s):

Content Analysis ◽

Public Administration ◽

Data Security ◽

Industry 4.0 ◽

Credit Institution ◽

Security Systems ◽

Banking Systems ◽

It Systems ◽

Smart Technologies ◽

Banking Development

Subject. The article discusses the modeling of preventive protection of IT systems and evaluates their cyber resilience. Objectives. The study evaluates the existing threats and determines how informatization processes may unfold in the credit segment. Methods. Research is based on methods of regulatory and legislative analysis. We evaluate today’s public administration of cybersecurity in the financial and credit sector. To give a view of the existing situation and sum up the sector’s performance for the recent years, we performed the content analysis of statistics on data hacking and leakages. Results. The article highlights new trends in the financial and credit sector and the growing complexity of data security systems. As proposed by the Bank of Russia, the integration of smart technologies is showed to reinforce the cybersecurity of banking systems. Conclusions and Relevance. The informatization of all banking operation systems, growing complexity of procedures and work logs require new robust resources to be integrated into financial technologies. Stronger cybersecurity should lay a trend in the financial and credit sector in the nearest future. The findings can be used to flag strategic milestones of the banking development in the information-driven society.

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User's Manual for the National Water-Quality Assessment Program Invertebrate Data Analysis System (IDAS) Software: Version 3

Open-File Report ◽

10.3133/ofr03172 ◽

2003 ◽

Cited By ~ 19

Author(s):

Thomas F. Cuffney

Keyword(s):

Water Quality ◽

Data Analysis ◽

Quality Assessment ◽

Water Quality Assessment ◽

Assessment Program ◽

Analysis System ◽

Data Analysis System ◽

National Water

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Developmental Measurement of Mental Attention

International Journal of Behavioral Development ◽

10.1177/016502549401700110 ◽

1994 ◽

Vol 17 (1) ◽

pp. 161-200 ◽

Cited By ~ 66

Author(s):

Juan Pascual-Leone ◽

Raymond Baillargeon

Keyword(s):

Latent Class ◽

Latent Class Models ◽

Categorical Data Analysis ◽

Test Items ◽

Mental Demand ◽

Mental Attention ◽

Constructivist Model ◽

Discrete Manner ◽

Analysis System ◽

Data Analysis System

A dialectical constructivist model of mental attention ("effort") and of working memory is briefly presented, and used to explicate subjects' processing in misleading test items. We illustrate with task analyses of the Figural Intersections Test (FIT). We semantically derive a set of 10 Theoretical Structural Predictions (TSP) that stipulate relations between mental attentional resources (mental-power: Mp) and the systematically varied mental demand of items (mental-demand: Md), as they jointly codetermine probable performance (conditional probabilities of passing and failing). These predictions are evaluated on first approximation using a known family of ordered Latent Class models, all probabilistic versions of Guttman's unidimensional scale. Parameters of these models were estimated using the Categorical Data Analysis System of Eliason (1990). Main results are: (1) Data fit Lazarsfeld's latent-distance model, providing initial support for our 10 predictions; (2) The M-power of children (latent Mp-classes) when assessed behaviourally may increase with age in a discrete manner, and have the potential to generate interval scales of measurement; (3) In the light of our results what statisticians often consider "error of measurement" appears (in part) to be signal, not noise: The organismic signal of misleading (Y-) processes that in their dialectical (trade-off) interaction with success-producing (X-) processes generate performance.

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