Visible to the public Biblio

Filters: Keyword is digital economy  [Clear All Filters]
2020-11-02
Fedosova, Tatyana V., Masych, Marina A., Afanasyev, Anton A., Borovskaya, Marina A., Liabakh, Nikolay N..  2018.  Development of Quantitative Methods for Evaluating Intellectual Resources in the Digital Economy. 2018 IEEE International Conference "Quality Management, Transport and Information Security, Information Technologies" (IT QM IS). :629—634.

The paper outlines the concept of the Digital economy, defines the role and types of intellectual resources in the context of digitalization of the economy, reviews existing approaches and methods to intellectual property valuation and analyzes drawbacks of quantitative evaluation of intellectual resources (based intellectual property valuation) related to: uncertainty, noisy data, heterogeneity of resources, nonformalizability, lack of reliable tools for measuring the parameters of intellectual resources and non-stationary development of intellectual resources. The results of the study offer the ways of further development of methods for quantitative evaluation of intellectual resources (inter alia aimed at their capitalization).

2020-10-06
Petrenko, S. A., Vorobieva, D. E..  2019.  Method of Ensuring Cyber Resilience of Digital Platforms Based on Catastrophe Theory. 2019 XXII International Conference on Soft Computing and Measurements (SCM)). :97—101.

This article presents the valuable experience and practical results of exploratory research by authors on the scientific problem of cyber-resilient (Cyber Resilience) critical information infrastructure in the previously unknown heterogeneous mass cyber attacks of attackers based on similarity invariants. It is essential that the results obtained significantly complement the well-known practices and recommendations of ISO 22301 (https://www.iso.org), MITER PR 15-1334 (www.mitre.org) and NIST SP 800-160 (www.nist.gov) in terms of developing quantitative metrics and cyber resistance measures. This allows you to open and formally present the ultimate law of the effectiveness of ensuring the cyber stability of modern systems of Industry 4.0. in the face of growing security threats.

2018-02-02
Rogers, R., Apeh, E., Richardson, C. J..  2016.  Resilience of the Internet of Things (IoT) from an Information Assurance (IA) perspective. 2016 10th International Conference on Software, Knowledge, Information Management Applications (SKIMA). :110–115.

Internet infrastructure developments and the rise of the IoT Socio-Technical Systems (STS) have frequently generated more unsecure protocols to facilitate the rapid intercommunication between the plethoras of IoT devices. Whereas, current development of the IoT has been mainly focused on enabling and effectively meeting the functionality requirement of digital-enabled enterprises we have seen scant regard to their IA architecture, marginalizing system resilience with blatant afterthoughts to cyber defence. Whilst interconnected IoT devices do facilitate and expand information sharing; they further increase of risk exposure and potential loss of trust to their Socio-Technical Systems. A change in the IoT paradigm is needed to enable a security-first mind-set; if the trusted sharing of information built upon dependable resilient growth of IoT is to be established and maintained. We argue that Information Assurance is paramount to the success of IoT, specifically its resilience and dependability to continue its safe support for our digital economy.