This article examines current issues of regulation of economical relations in the lnternet environment. Complexities, created by global and virtual features of the Internet economy, are characterize＆ Problems associa...This article examines current issues of regulation of economical relations in the lnternet environment. Complexities, created by global and virtual features of the Internet economy, are characterize＆ Problems associated with the implementation of the tax and customs policy, regulation of e-money circulation, virtual labor, intellectual property rights protection and consumer rights, as well as personal information are analyzed. Specifics of economic crimes and problems of their control in a virtual environment are commented. Also, the ways to address these problems are indicated.展开更多
This paper suggests an approach for providing the dynamic federations of clouds. The approach is based on risk assessment technology and implements cloud federations without consideration of identity federations. Here...This paper suggests an approach for providing the dynamic federations of clouds. The approach is based on risk assessment technology and implements cloud federations without consideration of identity federations. Here, for solving this problem, first of all, important factors which are capable of seriously influencing the information security level of clouds are selected and then hierarchical risk assessment architecture is proposed based on these factors. Then, cloud provider’s risk priority vectors are formed by applying the AHP methodology and fuzzy logic excerpt type risk evaluation is carried out based on this vector.展开更多
Recently the number of undesirable messages coming to e-mail has strongly increased. As spam has changeable character the anti-spam systems should be trainable and dynamical. The machine learning technology is success...Recently the number of undesirable messages coming to e-mail has strongly increased. As spam has changeable character the anti-spam systems should be trainable and dynamical. The machine learning technology is successfully applied in a filtration of e-mail from undesirable messages for a long time. In this paper it is offered to apply Case Based Reasoning technology to a spam filtering problem. The possibility of continuous updating of spam templates base on the bases of which new coming spam messages are compared, will raise efficiency of a filtration. Changing a combination of conditions it is possible to construct flexible filtration system adapted for different users or corporations. Also in this paper it is considered the second approach as implementation of CRM technology to spam filtration which is not applied to this area yet.展开更多
The modelling is widely used in determining the best strategies for the mitigation of the impact of infectious diseases.Currently,the modelling of a complex system such as the spread of COVID-19 infection is among the...The modelling is widely used in determining the best strategies for the mitigation of the impact of infectious diseases.Currently,the modelling of a complex system such as the spread of COVID-19 infection is among the topical issues.The aim of this article is graphbased modelling of the COVID-19 infection spread.The article investigates the studies related to the modelling of COVID-19 pandemic and analyses the factors affecting the spread of the disease and its main characteristics.We propose a conceptual model of COVID-19 epidemic by considering the social distance,the duration of contact with an infected person and their location-based demographic characteristics.Based on the hypothetical scenario of the spread of the virus,a graph model of the process are developed starting from the first confirmed infection case to human-to-human transmission of the virus and visualized by considering the epidemiological characteristics of COVID-19.The application of graph for the pandemic modelling allows for considering multiple factors affecting the epidemiological process and conducting numerical experiments.The advantage of this approach is justified with the fact that it enables the reverse analysis the spread as a result of the dynamic record of detected cases of the infection in the model.This approach allows for to determining undetected cases of infection based on the social distance and duration of contact and eliminating the uncertainty significantly.Note that social,economic,demographic factors,the population density,mental values and etc.affect the increase in number of cases of infection and hence,the research was not able to consider all factors.In future research will analyze multiple factors impacting the number of infections and their use in the models will be considered.展开更多
文摘This article examines current issues of regulation of economical relations in the lnternet environment. Complexities, created by global and virtual features of the Internet economy, are characterize＆ Problems associated with the implementation of the tax and customs policy, regulation of e-money circulation, virtual labor, intellectual property rights protection and consumer rights, as well as personal information are analyzed. Specifics of economic crimes and problems of their control in a virtual environment are commented. Also, the ways to address these problems are indicated.
文摘This paper suggests an approach for providing the dynamic federations of clouds. The approach is based on risk assessment technology and implements cloud federations without consideration of identity federations. Here, for solving this problem, first of all, important factors which are capable of seriously influencing the information security level of clouds are selected and then hierarchical risk assessment architecture is proposed based on these factors. Then, cloud provider’s risk priority vectors are formed by applying the AHP methodology and fuzzy logic excerpt type risk evaluation is carried out based on this vector.
文摘Recently the number of undesirable messages coming to e-mail has strongly increased. As spam has changeable character the anti-spam systems should be trainable and dynamical. The machine learning technology is successfully applied in a filtration of e-mail from undesirable messages for a long time. In this paper it is offered to apply Case Based Reasoning technology to a spam filtering problem. The possibility of continuous updating of spam templates base on the bases of which new coming spam messages are compared, will raise efficiency of a filtration. Changing a combination of conditions it is possible to construct flexible filtration system adapted for different users or corporations. Also in this paper it is considered the second approach as implementation of CRM technology to spam filtration which is not applied to this area yet.
文摘The modelling is widely used in determining the best strategies for the mitigation of the impact of infectious diseases.Currently,the modelling of a complex system such as the spread of COVID-19 infection is among the topical issues.The aim of this article is graphbased modelling of the COVID-19 infection spread.The article investigates the studies related to the modelling of COVID-19 pandemic and analyses the factors affecting the spread of the disease and its main characteristics.We propose a conceptual model of COVID-19 epidemic by considering the social distance,the duration of contact with an infected person and their location-based demographic characteristics.Based on the hypothetical scenario of the spread of the virus,a graph model of the process are developed starting from the first confirmed infection case to human-to-human transmission of the virus and visualized by considering the epidemiological characteristics of COVID-19.The application of graph for the pandemic modelling allows for considering multiple factors affecting the epidemiological process and conducting numerical experiments.The advantage of this approach is justified with the fact that it enables the reverse analysis the spread as a result of the dynamic record of detected cases of the infection in the model.This approach allows for to determining undetected cases of infection based on the social distance and duration of contact and eliminating the uncertainty significantly.Note that social,economic,demographic factors,the population density,mental values and etc.affect the increase in number of cases of infection and hence,the research was not able to consider all factors.In future research will analyze multiple factors impacting the number of infections and their use in the models will be considered.
