National Interests: Priorities and Security
 

Abstracting and Indexing

РИНЦ
Referativny Zhurnal VINITI RAS
Worldcat
LCCN Permalink
Google Scholar

Online available

EBSCOhost
Eastview
Elibrary
Biblioclub

Archiving

Cyberleninka (12 month OA embargo)

A method for enhancing the competitiveness of high-tech products through critical data protection

Vol. 15, Iss. 1, JANUARY 2019

Received: 4 October 2018

Received in revised form: 26 October 2018

Accepted: 23 November 2018

Available online: 16 January 2019

Subject Heading: THREATS AND SECURITY

JEL Classification: C18, C44, D81

Pages: 168–182

https://doi.org/10.24891/ni.15.1.168

Lapsar' A.P. Rostov State University of Economics (RSUE), Rostov-on-Don, Russian Federation
lapsar1958@mail.ru

ORCID id: not available

Lapsar' S.A. Russian Foundation for Advanced Research Projects, Moscow, Russian Federation
greyser1982@yandex.ru

ORCID id: not available

Subject The competitiveness growth becomes a very vital issue as the competition in the high-tech production market intensifies, industrial intelligence emerges and some States impose restrictions and sanctions against the Russian companies.
Objectives The research attempts to create the method for making high-tech products more competitive by protecting sensitive developer's information through deceptive and bogus data leakage to competitors.
Methods The research employs methods of systems analysis and proposes a method to improve the competitiveness of high-tech products in question. The method is synthesized through the mathematical apparatus of the probability theory and mathematical statistics.
Results We devised an original method for improving the competitiveness of innovation R&D through critical data protection. As part of the proposed method, we analyzed various data protection options in case of industrial intelligence, sanctions and non-market methods of competition. The article describes the substitute of products in question for subsequent misrepresentation to competitors and evaluates its efficacy and possible detriment from competitors' actions. We also propose an algorithm for assigning numerical values of quantitative characteristics of the substitute.
Conclusions and Relevance The proposed method supplements the existing critical data protection approaches through bogus data leakage. The method draws upon the known mathematical apparatus and can make long-term capital expenditures in high-tech product development more effective. The method is rather easy to practice if professional experts are involved and expert panels are formed. It should be used in combination with other data protection methods.

Keywords: high-tech product, substitution item, critical data, competitiveness

References:

  1. Panarin I.N. Informatsionnaya voina i vlast' [Information warfare and power]. Moscow, Mir bezopasnosti Publ., 2001, 223 p.
  2. Doronin A.I. Razvedyvatel'noe i kontrrazvedyvatel'noe obespechenie finansovo-khozyaistvennoi deyatel'nosti predpriyatiya [Intelligence and counterintelligence in financial and business operations]. Tula, Grif i Ko Publ., 2000, 116 p.
  3. Shlykov V.V. Kompleksnoe obespechenie ekonomicheskoi bezopasnosti predpriyatiya [Complex maintenance of corporate economic security]. Moscow, Aleteiya, Saint Petersburg University of Ministry of Interior of Russia, Ryazan Institute of Law and Economics of Russian Interior Ministry Publ., 1999, 144 p.
  4. Grishina N.V. Organizatsiya kompleksnoi sistemy zashchity informatsii [The creation of a comprehensive data protection system]. Moscow, Gelios ARV Publ., 2007, 256 p.
  5. Lapsar' A.P., Lapsar' S.A. [Safety of innovation under competitive struggle]. Finansy i kredit = Finance and Credit, 2017, vol. 23, iss. 1, pp. 49–62. (In Russ.) URL: Link
  6. Reil'yan Ya.R. Analiticheskaya osnova prinyatiya upravlencheskikh reshenii [The analytical framework for managerial decision-making]. Moscow, Finansy i Statistika Publ., 1989, 208 p.
  7. Germeier Yu.B. Vvedenie v teoriyu issledovanii operatsii [Introduction to the operation research theory]. Moscow, Nauka Publ., 1971, 384 p.
  8. Azgal'dov G.G., Raikhman E.P. Ekspertnye metody v otsenke kachestva tovarov [Expert methods in product quality appraisal] Moscow, Ekonomika Publ., 1974, 151 p.
  9. Ryabushkin T.V. Statisticheskie metody analiza ekspertnykh otsenok [Statistical methods for analysis of expert assessments]. Moscow, Nauka Publ., 2007, 384 p.

View all articles of issue

 

ISSN 2311-875X (Online)
ISSN 2073-2872 (Print)

Journal current issue

Vol. 15, Iss. 4
April 2019

Archive