Economic security: modeling and evaluation

The training manual presents the methodological aspects of the policy of economic security of the enterprise: the concept of policy, classification of risks, threats and methodology of their assessment, the mechanism of economic security of the enterprise, including the processes of formation of economic security strategy, accounting, control of risks and threats. The textbook meets the requirements of the GEF in the specialty 38.05.01 Economic security. Designed for undergraduate, graduate and postgraduate students studying in economic specialties and areas of training, as well as for business leaders, specialists in the field of economic security

Quantifying Uncertainty in Food Security Modeling

Food security is considered as the most important global challenge. Therefore, identifying long-term drivers of food security and their connections is essential to steer policymakers determining policies for future food security and sustainable development. Given the complexity and uncertainty of multidimensional food security, quantifying the extent of uncertainty is vital. In this study, we investigated the uncertainty of a coupled hydrologic food security model to examine the impacts of climatic warming on food production (rice, cereal and wheat) in a mild temperature study site in China. In addition to varying temperature, our study also investigated the impacts of three CO2 emission scenarios—the Representative Concentration Pathway, RCP 4.5, RCP 6.0, RCP 8.5—on food production. Our ultimate objective was to quantify the uncertainty in a coupled hydrologic food security model and report the sources and timing of uncertainty under a warming climate using a coupled hydrologic food security model tested against observed food production years. Our study shows an overall increasing trend in rice, cereal and wheat production under a warming climate. Crop yield data from China are used to demonstrate the extent of uncertainty in food security modeling. An innovative and systemic approach is developed to quantify the uncertainty in food security modeling. Crop yield variability with the rising trend of temperature also demonstrates a new insight in quantifying uncertainty in food security modeling.

Integral assessment of the level of Ukraine’s economic security: Modeling and economic analysis

The influence of military-political instability at the state security has special consequences and cannot be ignored. That is why the methods of economic security calculations should be adapted to modern conditions. Significant changes in economic, political, social conditions in Ukraine because of the influence of military events cause the necessity of developing approaches to calculations of economic security level. The article aims at analyzing active methods of calculations of economic security level to adapt their indicators to actual economic circumstances in Ukraine and the world. Indicators of the economic security have been composed of budget, money-credit, foreign exchange, debt, known banking financial market security, banking security. Every component of economic security has factors of war influence, which, as a result, correlates with the integral indicator of economic security. The relevance and indispensability of reinforcement of the economy’s competitiveness on security foundations are substantiated. The authors’ methods of calculation of an integral indicator of economic security have been suggested. A taxonomic indicator is used to measure the level of security. Conclusions regarding the preconditions, capacity, and availability of tendencies of economic security in regions of the country have been made. Strategic priorities of the state policy for reinforcement of economic security have been substantiated.

On the Modeling of Automotive Security: A Survey of Methods and Perspectives

As the intelligent car-networking represents the new direction of the future vehicular development, automotive security plays an increasingly important role in the whole car industry chain. On condition that the accompanying problems of security are proofed, vehicles will provide more convenience while ensuring safety. Security models can be utilized as tools to rationalize the security of the automotive system and represent it in a structured manner. It is essential to improve the knowledge about security models by comparing them besides proposing new methods. This paper aims to give a comprehensive introduction to the topic of security models for the Intelligent Transport System (ITS). A survey of the current methodologies for security modeling is conducted and a classification scheme is subsequently proposed. Furthermore, the existing framework and methods to build automotive security models are broadly examined according to the features of automotive electronic system. A number of fundamental aspects are defined to compare the presented methods in order to comprehend the automotive security modeling in depth.

Intelligent Cybersecurity Services and Management: Concepts, AI-based Modeling, Research Issues and Directions

Artificial intelligence (AI) is one of the major technologies in this Fourth Industrial Revolution, which aims to function in an intelligent manner in various application domains, e.g., intelligent cybersecurity management. Popular AI techniques that include machine learning and deep learning methods, natural language processing, the concept of knowledge representation, and knowledge or rule-based expert systems, can be used to intelligently tackle today's diverse cybersecurity problems according to the needs. Based on these AI techniques, in this paper, we aim to present a comprehensive view on \textit{AI-driven cybersecurity} in terms of concepts, extracting security insights, and eventually security intelligence modeling that can play significant role to solve various cybersecurity tasks such as identifying malicious activities, predicting cyber-attacks, access control, intrusions or anomaly detection etc. Thus, the concept of AI-based security modeling could make the cybersecurity computing process more intelligent and automated than the traditional ones. Based on our study, finally, we highlight several \textit{research issues and future directions} within the area of AI-driven cybersecurity. Overall, the ultimate goal of this paper is to serve as a reference point and guidelines for the cybersecurity professionals as well as the researchers in this work domain, particularly from the technical point of view.