EFFECTIVE WAYS TO INCREASE THE SECURITY OF STORING INFORMATION IN A DATABASE

In the era of rapid technological development, the issue of information security is very relevant. The article discusses issues related to information security in computer systems due to the simple and quick copying of information through communication channels. The problem of information security covers a wide range of issues, from the legislature to a specific technical device. Program developers suggest the need for technical means of protection that provide a high level of information security. Experience has shown that software cannot guarantee information security. Therefore, any software must be supplemented by organizational measures that determine the rules for access and storage of information. In practice, software users face additional challenges when using security tools. This article presents a classification of guarantees and methods of self-defense, as well as methods of protection by requesting additional information.

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Covert Communication in Termography - Analysis of Possibilities and Examples

Pomiary Automatyka Robotyka ◽

10.14313/par_241/65 ◽

2021 ◽

Vol 25 (3) ◽

pp. 65-72

Author(s):

Krzysztof Sawicki ◽

Grzegorz Bieszczad ◽

Tomasz Sosnowski ◽

Mariusz Mścichowski

Keyword(s):

Information Security ◽

Thermal Imaging ◽

Communication Channels ◽

Infrared Camera ◽

Integration Time ◽

Covert Communication ◽

Hidden Information ◽

Additional Information ◽

The Third ◽

Imaging Camera

The article presents a new concept of using thermography – steganography in thermography. Steganography is a technique of hiding information in a non-obvious way and belongs to the field of science related to information security. This article examines three examples of steganographic channels – covert communication channels that use thermal imaging devices in three different ways. The first proposed method uses the possibility of alternating the scene observed by the infrared camera in a way that additional information is included in the thermogram. The second method, called ThermoSteg, uses modification of one of the parameters of the thermal imaging camera (integration time) to embed the signal containing hidden information. The third method is based on digital thermograms and the methods of replacing dead pixels in them by creating the so-called zombie pixels carrying secretive information. Three methods have been implemented under real conditions and proven to work in practice.

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Vitamins in Human Health

10.15407/akademperiodyka.063.182 ◽

2006 ◽

Author(s):

Yu.M. Parkhomenko ◽

◽

G.V. Donchenko ◽

Keyword(s):

Human Health ◽

Biological Properties ◽

General Information ◽

Health Issues ◽

Wide Range ◽

Modern Classification ◽

History Of ◽

Fat Soluble Vitamins ◽

And Storage

The book describes the history of the discovery of vitamins, presents modern ideas about the properties of vitamins and their importance for humans as essential nutritional factors. General information is provided about the modern classification of vitamins, physicochemical and biological properties of water- and fat-soluble vitamins and vitamin-like compounds, their role in metabolism and, in general, in human health. The causes of hypovitaminosis are analyzed, advice is given on their prevention and storage of vitamins in food. The book is intended for specialists in the field of biology, medicine, as well as for a wide range of readers, including teachers, students and other people interested in health issues.

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Foreign experience of supporting development of technologies of storage of energy

Proceedings of the Voronezh State University of Engineering Technologies ◽

10.20914/2310-1202-2019-2-341-351 ◽

2019 ◽

Vol 81 (2) ◽

pp. 341-351

Author(s):

L. V. Kalimullin ◽

D. K. Levchenko ◽

Y. B. Smirnova ◽

E. S. Tuzikova

Keyword(s):

Energy Storage ◽

Storage Systems ◽

Technological Development ◽

Energy Industry ◽

Development Programs ◽

Energy Storage Systems ◽

High Level ◽

Storage Technologies ◽

Energy Companies ◽

And Storage

The purpose of the research is to analyze the needs for supporting developed systems of energy storage and storage systems. The analysis of the main global global challenges and challenges associated with the prospects for the development of energy storage and storage systems in Russia. Energy storage and storage technologies in the leading countries for the development of this energy industry (European Union countries, USA, China). Recommendations are formulated to ensure the possibility of creating energy storage systems in Russia. Scientific novelty lies in the development of theoretical and methodological provisions of a system for stimulating the development of energy storage and storage technologies, based on experiments with a high level of technological development in the energy sector, capable of setting and achieving strategic technological fronts of state development. Energy industries, including industry development programs and corporate documents of energy companies; in support of projects for the implementation of initiatives for the development and development of energy storage systems; in the process of developing educational programs in the field of energy and cooperation projects.

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Developing a Typology of Regions Based on Their Predisposition to Scientific and Technological Development

Economics and Management ◽

10.35854/1998-1627-2021-10-775-785 ◽

2021 ◽

Vol 27 (10) ◽

pp. 775-785

Author(s):

Yu. G. Myslyakova

Keyword(s):

National Economy ◽

Technological Development ◽

Methodological Approach ◽

Federal District ◽

Successful Implementation ◽

Territorial Development ◽

Wide Range ◽

Classification Of Regions ◽

Scientific And Technological Development

Aim. The presented study aims to describe the proposed typology of regions based on their predisposition to scientific and technological development in the context of hereditary industrial, social, and institutional determinants of economic territorial development. Tasks. The authors develop a methodological approach to forming a basic criterion for the classification of regions; develop a methodology for the classification of regions based on their predisposition to scientific and technological development with allowance for the economic impact of their hereditary core; test the authors’ developments on the regions of the Russian Federation. Methods. This study uses tools for modeling the hereditary socio-economic core of regions based on the calculation of Frobenius norms to identify the prevailing dynamic trends in territorial development, and a matrix method for developing a regional typology. The methodology applied by the authors focuses on identifying territories that are more susceptible to technological transformations, including those that ensure the significant impact of these transformations on the national economy. Results. The study tests the authors’ developments on Russian regions and provides two typologies. The first typology groups regions according to criteria such as stable positive predisposition, permissible positive predisposition, negative predisposition, and stable negative predisposition to scientific and technological development. The second typology identifies regions with hereditary capital, regions with useful heredity, regions with defective useful heredity, regions with the effect of a large hereditary base, regions with defective heredity, and regions with significant defective heredity. The developed typologies make it possible to identify regions that serve as the opposite poles of scientific and technological transformations as well as high-risk regions with unjustified investment in innovative economic activities. Conclusions. Industrially developed regions are more predisposed to scientifific and technological development, and expansion of innovations will be implemented faster in these regions compared with others. The Sverdlovsk and Tyumen regions have an elastic industrial heritage, which is manifested in the successful implementation of a wide range of innovative tasks. Comparative analysis also shows that the Ural Federal District has the most favorable industrial, social, and institutional hereditary determinants responsible for the susceptibility of the territory to technological transformations compared with other regions, which makes it a potential center for the scientific and technological development of the national economy.

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Particle Classification through the Analysis of the Forward Scattered Signal in Optical Tweezers

Sensors ◽

10.3390/s21186181 ◽

2021 ◽

Vol 21 (18) ◽

pp. 6181

Author(s):

Inês Alves Carvalho ◽

Nuno Azevedo Silva ◽

Carla C. Rosa ◽

Luís C. C. Coelho ◽

Pedro A. S. Jorge

Keyword(s):

Optical Tweezers ◽

Temporal Dynamics ◽

Principal Component ◽

Machine Learning Algorithms ◽

Scattered Signal ◽

Additional Information ◽

Wide Range ◽

Data Signal ◽

Small Clusters

The ability to select, isolate, and manipulate micron-sized particles or small clusters has made optical tweezers one of the emergent tools for modern biotechnology. In conventional setups, the classification of the trapped specimen is usually achieved through the acquired image, the scattered signal, or additional information such as Raman spectroscopy. In this work, we propose a solution that uses the temporal data signal from the scattering process of the trapping laser, acquired with a quadrant photodetector. Our methodology rests on a pre-processing strategy that combines Fourier transform and principal component analysis to reduce the dimension of the data and perform relevant feature extraction. Testing a wide range of standard machine learning algorithms, it is shown that this methodology allows achieving accuracy performances around 90%, validating the concept of using the temporal dynamics of the scattering signal for the classification task. Achieved with 500 millisecond signals and leveraging on methods of low computational footprint, the results presented pave the way for the deployment of alternative and faster classification methodologies in optical trapping technologies.

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EFFECTIVE METHODS FOR SUCCESSFUL INFORMATION SECURITY AWARENESS

Pro Publico Bono - Magyar Közigazgatás ◽

10.32575/ppb.2021.1.7 ◽

2021 ◽

Vol 9 (1) ◽

pp. 108-127

Author(s):

Ildikó Legárd

Keyword(s):

Information Security ◽

Technological Development ◽

Real Life ◽

Communication Channels ◽

Security Awareness ◽

Effective Solution ◽

Information Security Awareness ◽

Interactive Games ◽

Awareness Programs ◽

Digital Competencies

Information security awareness is becoming increasingly important these days. It is not enough to have a well-developed physical and logical protection of the system and stored data; the users of these systems have to keep up with technological development and have to be sufficiently aware or cautious when using these systems. Information Security Awareness Programs provide the most effective solution for the improvement of users’ information security knowledge and digital competencies. The aim of this study is to help organisations in finding and providing an effective way of knowledge transfer. The study identifies the key elements of the implementation of the awareness programs and highlights the importance of communication channels and methods. The essay summarises and shows the most effective techniques that experts can use in order to draw the user’s attention toward information security, like real-life simulation scenarios, interactive games, themed awareness videos and other gamification techniques.

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Can you make morphometrics work when you know the right answer? Pick and mix approaches for apple identification

10.1101/288175 ◽

2018 ◽

Cited By ~ 2

Author(s):

Maria D. Christodoulou ◽

Nicholas H. Battey ◽

Alastair Culham

Keyword(s):

Data Gathering ◽

Learning Tools ◽

Living Things ◽

Combined Use ◽

Wide Range ◽

Apple Cultivars ◽

The Right ◽

High Level ◽

Post Hoc

AbstractMorphological classification of living things has challenged science for several centuries and has led to a wide range of objective morphometric approaches in data gathering and analysis. In this paper we explore those methods using apple cultivars, a model biological system in which discrete groups are pre-defined but in which there is a high level of overall morphological similarity. The effectiveness of morphometric techniques in discovering the groups is evaluated using statistical learning tools. No one technique proved optimal in classification on every occasion, linear morphometric techniques slightly out-performing geometric (72.6% accuracy on test set versus 66.7%). The combined use of these techniques with post-hoc knowledge of their individual successes with particular cultivars achieves a notably higher classification accuracy (77.8%). From this we conclude that even with pre-determined discrete categories, a range of approaches is needed where those categories are intrinsically similar to each other, and we raise the question of whether in studies where potentially continuous natural variation is being categorised the level of match between categories is routinely set too high.

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The way of value of Correlation of genomic DNA microsatellite loci and live weight of Chukchi reindeer

Genetika i razvedenie zhivotnyh ◽

10.31043/2410-2733-2020-3-27-32 ◽

2020 ◽

pp. 27-32

Author(s):

V. Dodokhov ◽

N. Pavlova ◽

T. Rumyantseva ◽

L. Kalashnikova

Keyword(s):

Microsatellite Markers ◽

Agricultural Production ◽

Live Weight ◽

Biodiversity Loss ◽

Tribal Community ◽

High Germination ◽

Wide Range ◽

The Mean ◽

High Level ◽

Dna Microsatellite

The article presents the genetic characteristic of the Chukchi reindeer breed. The object of the study was of the Chukchi reindeer. In recent years, the number of reindeer of the Chukchi breed has declined sharply. Reduced reindeer numbers could lead to biodiversity loss. The Chukchi breed of deer has good meat qualities, has high germination viability and is adapted in adverse tundra conditions of Yakutia. Herding of the Chukchi breed of deer in Yakutia are engaged only in the Nizhnekolymsky district. There are four generic communities and the largest of which is the agricultural production cooperative of nomadic tribal community «Turvaurgin», which was chosen to assess the genetic processes of breed using microsatellite markers: Rt6, BMS1788, Rt 30, Rt1, Rt9, FCB193, Rt7, BMS745, C 143, Rt24, OheQ, C217, C32, NVHRT16, T40, C276. It was found that microsatellite markers have a wide range of alleles and generally have a high informative value for identifying of genetic differences between animals and groups of animal. The number of identified alleles is one of the indicators of the genetic diversity of the population. The total number of detected alleles was 127. The Chukchi breed of deer is characterized by a high level of heterozygosity, and the random crossing system prevails over inbreeding in the population. On average, there were 7.9 alleles (Na) per locus, and the mean number of effective alleles (Ne) was 4.1. The index of fixation averaged 0.001. The polymorphism index (PIC) ranged from 0.217 to 0.946, with an average of 0.695.

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COVID-19 Outbreak Prediction with Machine Learning

10.34055/osf.io/xr4js ◽

2020 ◽

Author(s):

Sina Faizollahzadeh Ardabili ◽

Amir Mosavi ◽

Pedram Ghamisi ◽

Filip Ferdinand ◽

Annamaria R. Varkonyi-Koczy ◽

...

Keyword(s):

Machine Learning ◽

Prediction Models ◽

Fuzzy Inference ◽

Control Measures ◽

Future Research ◽

Complex Nature ◽

Inference System ◽

Wide Range ◽

Standard Models ◽

High Level

Several outbreak prediction models for COVID-19 are being used by officials around the world to make informed-decisions and enforce relevant control measures. Among the standard models for COVID-19 global pandemic prediction, simple epidemiological and statistical models have received more attention by authorities, and they are popular in the media. Due to a high level of uncertainty and lack of essential data, standard models have shown low accuracy for long-term prediction. Although the literature includes several attempts to address this issue, the essential generalization and robustness abilities of existing models needs to be improved. This paper presents a comparative analysis of machine learning and soft computing models to predict the COVID-19 outbreak as an alternative to SIR and SEIR models. Among a wide range of machine learning models investigated, two models showed promising results (i.e., multi-layered perceptron, MLP, and adaptive network-based fuzzy inference system, ANFIS). Based on the results reported here, and due to the highly complex nature of the COVID-19 outbreak and variation in its behavior from nation-to-nation, this study suggests machine learning as an effective tool to model the outbreak. This paper provides an initial benchmarking to demonstrate the potential of machine learning for future research. Paper further suggests that real novelty in outbreak prediction can be realized through integrating machine learning and SEIR models.

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MODERN PROBLEMATICS AND ANALYSIS OF EFFICIENCY OF APPLICATION OF DIFFERENT APPROACHES TO DESTRUCTION OF INFORMATION ON MAGNETIC MEDIA

Collection of scientific works of Odesa Military Academy ◽

10.37129/2313-7509.2019.12.2.154-164 ◽

2019 ◽

Vol 2 (12) ◽

pp. 154-164

Author(s):

O. Semenenko ◽

O. Vodchyts ◽

V. Koverga ◽

R. Lukash ◽

O. Lutsenko

Keyword(s):

Armed Forces ◽

Information Storage ◽

Storage Device ◽

Magnetic Media ◽

Long Term Storage ◽

Physical Impact ◽

And Storage ◽

Term Storage

The introduction and active use of information transmission and storage systems in the Ministry of Defense (MoD) of Ukraine form the need to develop ways of guaranteed removal of data from media after their use or long-term storage. Such a task is an essential component of the functioning of any information security system. The article analyzes the problems of guaranteed destruction of information on magnetic media. An overview of approaches to the guaranteed destruction of information on magnetic media of different types is presented, and partial estimates of the effectiveness of their application are given by some generally accepted indicators of performance evaluation. The article also describes the classification of methods of destruction of information depending on the influence on its medium. The results of the analysis revealed the main problems of application of software methods and methods of demagnetization of the information carrier. The issue of guaranteed destruction of information from modern SSD devices, which are actively used in the formation of new systems of information accumulation and processing, became particularly relevant in the article. In today's conditions of development of the Armed Forces of Ukraine, methods of mechanical and thermal destruction are more commonly used today. In the medium term, the vector of the use of information elimination methods will change towards the methods of physical impact by the pulsed magnetic field and the software methods that allow to store the information storage device, but this today requires specialists to develop new ways of protecting information in order to avoid its leakage.

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