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Abstract. Given the global nature of cyber threats, assurance of a cyber security policy is very important not only at the local organisation level, but also at national and international level. Currently, cyber security as such is not suitably regulated internationally; therefore, the role of national cyber security strategies has become particularly significant. Lithuania is among the leaders in the EU and globally in the development of the optical fibre network. FTTP coverage has already reached 95%, the highest in the EU. Regardless of that, the cyber security programme effective in Lithuania does not provide conditions to ensure an appropriate level of cyber security and may not be regarded as a high-level contemporary strategic document in the area of cyber security. This article presents a study the main outcome of which are guidelines for a contemporary model of the Lithuanian national cyber security strategy. Based on comparative and historical studies as well as expert interviews conducted by authors and on the best practice of other countries, the article presents the elements of a model of the Lithuanian national cyber security strategy as well as guidelines on the content of these elements of the model. The article also reveals which elements of the model of the national cyber security strategy should most of all reflect the national situation and which elements may be unified and possibly also adapted in the cyber security strategies of other countries.

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The strategic documents of the state provide for inclusive and green growth aimed at the inclusion of society in the development of the state. It causes the need to highlight the main components of growth and guidelines for their calculation. The international community moved away from using the Gross Domestic Product (GDP) as a measure of economic development, and started measuring growth by calculating the Inclusive Development Index. The study conducted in the article is concentrated on the main directions of the international community development, which focus on assessment of the mineral resource management as one of the levers of increasing the production efficiency and taxes distribution. This article suggests to improve the rent payments for the minerals extraction through a correction factor, since the Tax Code of Ukraine does not take into account the multifunctionality of the territory where these resources are mined. The coefficient is estimated to vary from 1.25 to 2.0, depending on the polyfunctional characteristics of the mining area. This approach will improve existing methodological recommendations and include such an important area as inclusive green growth in the calculations, as not only the economic indicators of economic activity, but also the environmental feasibility of using the territory where it is carried out will be taken into account.

Purpose The purpose of this paper is to assess such processing of personal data for identification purposes from the point of view of the principle of data minimisation, as set out in the EU’s General Data Protection Regulation (GDPR) and examine whether the processing of personal data for these purposes can be considered proportionate, i.e. whether it is performed for the purposes defined and only as much as is necessary. Design/methodology/approach In this paper, the authors discuss and present the relevant legal regulation and examine the goals and implementation of such regulation in Lithuania. This paper also examines the conditions for the lawful processing of personal data and their application for the above-mentioned purposes. Findings This paper addresses the problem that, on the one hand, financial institutions must comply with the objectives of collecting as much personal data as possible under the AML Directive (this practice is supported by the supervisory authority, the Bank of Lithuania), and, on the other hand, they must comply with the principle of data minimisation established by the GDPR. Originality/value Financial institutions process large amounts of personal data. These data are processed for different purposes. One of the purposes of processing personal data is (or may be) related to the prevention of money laundering and terrorist financing. In implementing the Know Your Customer principle and the relevant legal framework derived from the EU AML Directive, financial institutions collect various data, including projected account turnovers, account holders' relatives involved in politics, etc.