Evaluating the threat to national information security
- Author(s)
-
DOIhttp://dx.doi.org/10.21511/ppm.18(3).2020.17
-
Article InfoVolume 18 2020, Issue #3, pp. 195-210
- Cited by
- 874 Views
-
140 Downloads
This work is licensed under a
Creative Commons Attribution 4.0 International License
An effective strategy for managing the national information security with capabilities to resist information threats significantly impacts its further development. This study aims to assess the level of threat to the information security of countries based on the integral index. It is proposed to use five indicators characterizing individual areas of information security and 37 world development indicators, selected from the World Bank database. Correlation analysis selected 12 out of 37 development indicators relevant to security indicators for which the correlation coefficient exceeded 0.5 or –0.5. The Harrington-Mencher function is proposed to determine the information security threat index. Nonlinear normalization was carried out to bring the initial data to a comparable measurement. Canonical analysis was performed to determine the indicator weights. The data from 159 countries were taken for 2018 to assess the index. The result was presented on the map showing countries’ distribution by the information security threat index, thus forming five groups. The group with a “very well” resistance to threats includes economically developed countries with a high level of information security. The “well” group was formed by new industrial and developing countries with economic potential sufficient to prevent information threats and combat their consequences. The information security level in developing countries, where the results of overcoming information threats will affect the economic sphere, is defined as “acceptable”. Countries with a low level of development and information security formed groups designated as “bad” and “very bad”, which indicates a high level of threats to their information security.
Acknowledgment
This work is carried out with in the tax payer – funded researches: No. 0118U003574 “Cybersecurity in the banking fraud enforcement: protection of financial service consumers and the financial and economic security growth in Ukraine”.
- Keywords
-
JEL Classification (Paper profile tab)C10, C43, O30
-
References34
-
Tables6
-
Figures5
-
- Figure 1. Bibliometric map constructed based on keywords from publications on the Scopus database
- Figure 2. Results of correlation analysis
- Figure 3. Graph of the second type of the curve for GDP per capita
- Figure 4. Graph of the first type of curve for Control of corruption: estimate
- Figure 5. Map of the distribution of countries according to the information security threat index
-
- Table 1. Quantitative and qualitative interpretation of the information security threat level index
- Table 2. Normalized components of the information security threat index (fragment)
- Table 3. Results of canonical analysis
- Table 4. The values of components of the information security threat index reduced to the dimensionless Harrington desirability scale (fragment)
- Table 5. Calculations of Harrington-Mencher transformation values (fragment)
- Table 1A. World Development Indicators
-
- Aldhous, P. (2020). A Security Breach Exposed More Than One Million DNA Profiles On A Major Genealogy Database.
- Anscombe, T. (2020). Beware scams exploiting coronavirus fears.
- Bekmuratov, T. F., Ganiev, A. A., & Botirov, F. B. (2020). Concept of establishing multi-agent intellectual automatically systems in the enterprise. International Journal of Scientific and Technology Research, 9(4), 347-352.
- Brožová, H., Šup, L., Rydval, J., Sadok, M., & Bednar, P. (2016). Information security management: ANP based approach for risk analysis and decision making. Agris On-line Papers in Economics and Informatics, 8(1), 13-23.
- Burke, W., Oseni, T., Jolfaei, A., & Gondal, I. (2019, January). Cybersecurity Indexes for eHealth. In Proceedings of the 2019 Australasian Computer Science Week Multiconference, ACSW 2019 (Australia, Sydney, January, 2019), ACM International Conference Proceeding Series, Article No.: 17 (pp. 1-8).
- Cardholm, L. (2015). Identifying the business value of information security. In Banking, Finance, and Accounting: Concepts, Methodologies, Tools, and Applications (pp. 1056-1079).
- Deane, J. K., Goldberg, D. M., Rakes, T. R., & Rees, L. P. (2019). The effect of information security certification announcements on the market value of the firm. Information Technology and Management, 20(3), 107-121.
- Dincelli, E. (2018). The role of national culture in shaping information security and privacy behaviors. In D. Siegel (Ed.), World Scientific Reference on Innovation: Volume 4: Innovation in Information Security (pp. 47-68).
- Dorosh, M., Voitsekhovska, M., & Balchenko, I. (2019, January). Research and Determination of Personal Information Security Culture Level Using Fuzzy Logic Methods. In Proceedings of the 2nd International Conference on Computer Science, Engineering and Education Applications, ICCSEEA 2019 (Ukraine, Kiev, 29 March 2019), Advances in Intelligent Systems and Computing, Volume 938 (pp. 503-512).
- Dumas, E. (2020). Mobile adware: The Silent Plague with No Origin.
- e-Governance Academy Foundation. (2020). National Cyber Security Index.
- Frolova, E. E., Polyakova, T. A., Dudin, M. N., Rusakova, E. P., & Kucherenko, P. A. (2018). Information security of Russia in the digital economy: The economic and legal aspects. Journal of Advanced Research in Law and Economics, 9(1), 89-95.
- Harrington, E. (1965). The Desirability Function. Industrial Quality Control, 21, 10, 494-498.
- Jazri, H., Zakaria, O., & Chikohora, E. (2018, May). Measuring cybersecurity wellness index of critical organisations. Paper presented at 2018 IST-Africa Week Conference, IST-Africa 2018 (Botswana, Gaborone, May 2018), Institute of Electrical and Electronics Engineers Inc.
- Kirilenko, V. P., & Alexeyev, G. V. (2018). Political technologies and international conflicts in the information space of the Baltic Sea region. Baltic Region, 10(4), 20-38.
- Ključnikov, A., Mura, L., & Sklenár, D. (2019). Information security management in smes: Factors of success. Entrepreneurship and Sustainability Issues, 6(4), 2081-2094.
- Klyaus, T. K., & Gatchin, Yu. A. (2020, June). Mathematical model for information security system effectiveness evaluation against advanced persistent threat attacks. Paper presented at 2020 Wave Electronics and its Application in Information and Telecommunication Systems, WECONF 2020 (Russian Federation, Saint-Petersburg, 1-5 June 2020), Institute of Electrical and Electronics Engineers Inc.
- Kosevich, E. (2020). Estrategias de seguridad cibernética en los países de América Latina [Cyber security strategies of Latin America countries]. Iberoamerica, 1, 137-159. (In Spanish).
- Kshetri, N. (2017). An opinion on the ‘Report on Securing and Growing the Digital Economy. IEEE Security and Privacy, 15(1), 80-85.
- Mencher, Eh. M., & Zemshman, A. Ja. (1986). Osnovy planirovaniya eksperimenta s elementami matematicheskoy statistiki v issledovanii po vinogradstvu [Basics of planning an experiment with elements of mathematical statistics in a study on viticulture]. Kishinev: Shtiintsa. (In Russian).
- Morrow, S., & Crabtree, T. (2019). The future of cybercrime & security. Threat Analysis, Impact Assessment & Mitigation Strategies 2019–2024.
- Omirzhanov, Y., Baimagambetova, Z., Tusupova, A., Omirtay, R., & Uteuliev, S. (2017). On the national security correlation with freedom of speech in Kazakhstan. Journal of Advanced Research in Law and Economics, 8(3), 980-986.
- Park, S. (2019). Why information security law has been ineffective in addressing security vulnerabilities: Evidence from California data breach notifications and relevant court and government records. International Review of Law and Economics, 58, 132-145.
- Popova, L., Korostelkina, I., Dedkova, E., & Korostelkin, M. (2019, October). Information Risks and Threats of the Digital Economy of the XXI Century: Objective Prerequisites and Management Mechanisms. In T. Antipova & Á. Rocha (Eds.), Digital Science 2019. DSIC 2019. Advances in Intelligent Systems and Computing, vol. 1114. Springer, Cham.
- Schmitz, C., & Pape, S. (2020). LiSRA: Lightweight Security Risk Assessment for decision support in information security. Computers and Security, 90, 101656.
- Scopus. (2020). Analyze search results.
- Singh, A. N., & Gupta, M. P. (2019). Information Security Management Practices: Case Studies from India. Global Business Review, 20(1), 253-271.
- Sonny, Z. (2011). National security in Malaysia’s digital economy: Redefinition, reaction and legal reform. Journal of Applied Sciences Research, 7(special issue), 2316-2325.
- StatSoft. (2020). Produkty STATISTICA [STATISTICA products]. (In Russian).
- The World Bank. (2020). World Development Indicators.
- Topa, I., & Karyda, M. (2019). From theory to practice: guidelines for enhancing information security management. Information and Computer Security, 27(3), 326-342.
- VOSviewer. (2020). Download VOSviewer.
- Warkentin, M., & Orgeron, C. (2020). Using the security triad to assess blockchain technology in public sector applications. International Journal of Information Management, 52, 102090.
- Yunis, M. M., & Koong, K. S. (2015). A conceptual model for the development of a national cybersecurity index: An integrated framework. Paper presented at 21st Americas Conference on Information Systems, AMCIS 2015 (Puerto Rico,El Conquistador Resort and Convention Center Fajardo).
-
Perceived health risk, online retail ethics, and consumer behavior within online shopping during the COVID-19 pandemic
Yuniarti Fihartini
,
Arief Helmi ,
Meydia Hassan ,
Yevis Marty Oesman
doi: http://dx.doi.org/10.21511/im.17(3).2021.02
Innovative Marketing Volume 17, 2021 Issue #3 pp. 17-29 Views: 4519 Downloads: 1730 TO CITE АНОТАЦІЯThe risk of virus contracting during the COVID-19 pandemic has changed consumer preference for online shopping to meet their daily needs than shopping in brick-and-mortar stores. Online shopping presents a different environment, atmosphere, and experience. The possibility of ethical violations is higher during online than face-to-face transactions. Therefore, this study was conducted to investigate the influence of perceived health risk and customer perception of online retail ethics on consumer online shopping behavior during the COVID-19 pandemic, involving seven variables, namely perceived health risk, security, privacy, non-deception, reliability fulfillment, service recovery, and online shopping behavior. The data were collected through an online survey by employing the purposive sampling technique to a consumer who has shopped online during the COVID-19 pandemic in Indonesia. 315 valid responses were obtained and analyzed through quantitative method using SEM-Amos. The results showed that perceived health risk and four variables of online retail ethics including security, privacy, reliability fulfillment, and service recovery affected online shopping behavior. Meanwhile, non-deception was found to have an insignificant effect. The coefficient value proved perceived health risk to be more dominant in influencing online shopping behavior than the variables of online retail ethics. Thus, consumers pay more concern for their health during online shopping. However, positive consumer perceptions of the behavior of online retail websites in providing services also can encourage consumers to shop online during this pandemic.
-
Environmental Performance Index: relation between social and economic welfare of the countries
Tetyana Pimonenko 
,
Oleksii Lyulyov ,
Olena Chygryn ,
Maksim Palienko
doi: http://dx.doi.org/10.21511/ee.09(3).2018.01
Environmental Economics Volume 9, 2018 Issue #3 pp. 1-11 Views: 3587 Downloads: 549 TO CITE АНОТАЦІЯThe paper deals with the analysis of methodology of Environmental Performance Index. The authors analyzed and systematized the main existing integrated indices, which were used for evaluation of environmental, social and economic situation in the countries. The authors allocated the environmental performance index as a basis for analyzing the environmental policy of the country. In this direction, the authors analysed the main features, structure and indicators of environmental performance index. The authors allocated the world-leader countries with huge level of CO2 emissions. According to the results, the authors aproved that these countries should improve their environmental policy. Accordingly, they occupied less position in environmental performance index. For the purpose to analyze the relation between ecological, social and economic welfare, the authors analyzed score of sustainable development goal index, social progress index and gross domestic product per capita. The comparison analysis of findings showed that countries with good position on environmental performance index have the strong position on sustainable development goal index and social progress index. The authors suggested that Ukraine should orient to the EU countries with purpose to improve the environmental policy.
-
Methodological bases of estimating the efficiency of economic security management of the enterprises in the global environment
Iryna D’yakonova ,
Alina Nikitina ,
Victor Sukhonos ,
Fedir Zhuravka
doi: http://dx.doi.org/10.21511/imfi.15(2).2018.13
Investment Management and Financial Innovations Volume 15, 2018 Issue #2 pp. 145-153 Views: 1730 Downloads: 212 TO CITE АНОТАЦІЯThe article analyzes concepts to determining the essence of the economic security management at an enterprise. The main features of identifying the effectiveness of economic security management at the enterprise are stipulated. The theoretical and methodological approach to determining the effectiveness of economic security management of the enterprise is proposed, which allows to identify the threats and predict their consequences, to provide internal balance in the enterprise activity and the compliance of its mission and strategic direction of the activity with its key interests. Moreover, it is proposed to use the matrix of comparing the level of the enterprise economic security (EES) and the total impact on the EES level in one of the scenarios (pessimistic, optimistic, and most probable), which allows to assess the effectiveness of the economic security management of the enterprises and provide recommendations to increase the latter, minimizing destructive effects of dominant threats in the context of certain functional components of the economic security.
