Modeling of information attacks, and security risk assessment facilities
On the basis of logical-probabilistic approach developed logical-probabilistic models of information security assessment of the object of attack. The models are based on the current level of knowledge to counter attacks and allow the information to take into account technological features, especially the functioning of the object of attack, regulations and any requirements. The properties of the obtained models in the grades of the new security functions. Improved reachability condition acceptable security level of the object of attack. formulates logic and probabilistic risk assessment criteria of information security object of attack. Proposed procedure for assessing price risks. Showing the direction of automation assess the level of risk on the basis of intelligent fuzzy logic and neural networks for web development environment for cloud computing in cluster Hadoop. Formulated the main system requirements for intelligent automated system monitoring daemon TaskTraker_состояние and others in cluster Hadoop.
Implementation of IT and program projects seems to be very complicated and taught process, associated with many uncertainties and risks. Sure, this does not mean the rejection of such projects, supposed the more responsibility for the decision making process of new information technologies implementation. To manage various problems which face project managers, it makes sense to use special risk management software. The functionality of modern risk management systems allows identifying risk occurrence, conducting scenario modeling, take the more appropriate managing decisions based on scenario analysis and mathematical calculations. All these functionality will support project manager to optimize his business activities in accordance to risk management practices and ensure better coordination and balance inside the project team. Currently there available a wide range of project management software, but it is reasonable to conduct some analysis in terms of applicability to specific IT projects. The author will review the most appropriate software solutions for the risk management in IT area, conduct competitive analysis and provide some recommendations on software selection.
The ACRN Journal of Finance and Risk Perspectives (JoFRP) is a strictly academic, double-blind peer reviewed international e-journal, by the ACRN Oxford Research Centre, UK. All article abstracts are indexed in the SSRN database, the social science research network, in EBSCO, and are searchable through Google Scholar. It is included in the h-Index and impact calculations. The journal is listed in the Cabell Quality Publishing Database, which is typically relevant for tenure track evaluations.
This journal is special because it aims to provide an outlet for inter-disciplinary and more in-depth research papers with various methodological approaches. The target group of this journal are academics who want to get a better understanding of the interconnectedness of their fields by acknowledging the methods and theories used in closely related areas.
The JoFRP thus aims to overcome the self-imposed paradigmatic boundaries and reflexive isomorphisms of the individual, typically rather narrow fields and invites new and combined perspectives from the fields of Finance, Risk and Accounting. Despite its methodological, topical and disciplinary openness - it does so with a strong focus on academic rigor and robustness. All articles will be strictly double-blind peer reviewed and authors are frequently invited to discuss the ramifications of their articles in the global FRAP conferences.
In our conducted research we have built the data processing pipeline for storing railway KPIs data based on Big Data open-source technologies – Apache Hadoop, Kafka, Kafka HDFS Connector, Spark, Airflow and PostgreSQL. Created methodology for data load testing allowed to iteratively perform data load tests with increased data size and evaluate needed cluster software and hardware resources and, finally, detected bottlenecks of solution. As a result of the research we proposed architecture for data processing and storage, gave recommendations on data pipeline optimization. In addition, we calculated approximate cluster machines sizing for current dataset volume for data processing and storage services.
Narrative functions very greatly and are studied in a wide interdisciplinary spectrum. However, one of the functions of the narrative have not yet been studied in detail and therefore deserves a special attention. This is an alarm function: narratives can not only reconstruct past events, but they can also warn on the possible danger, predict the future events and simulate the reactions of recipients. In theoretical narratology, this function is perceived with caution: narrative is usually considered as a form referring to the past. At the same time, the applied research shows that narratives could be actively involved in the practices of predicting the future. This mechanism is largely based on the collective memory. The article deals on the problem of narrative representation of risk and its relation to collective memory.
The possibility of using the category of "value community" in the study of risk is analyzed. On the example of the "psychophysical numbing" studies we try to show the possible contribution of sociology based on utilizing the resources of functionalism and of "folk sociology" approach.
The present article contains a description of new method of royalty calculation based on analysis of risk decrease generated by franchisor's intellectual assets transmitted to franchises.
The article discusses the productivity of using the naïve theories of communities in the study of the social aspects of risk. We identify existing and future research directions. We also discuss the question of what aspects of risk and risk perception can potentially depend upon naïve perceptions of the communities. A brief description of the main approaches to the study of lay theories communities is also given.
A model for organizing cargo transportation between two node stations connected by a railway line which contains a certain number of intermediate stations is considered. The movement of cargo is in one direction. Such a situation may occur, for example, if one of the node stations is located in a region which produce raw material for manufacturing industry located in another region, and there is another node station. The organization of freight traﬃc is performed by means of a number of technologies. These technologies determine the rules for taking on cargo at the initial node station, the rules of interaction between neighboring stations, as well as the rule of distribution of cargo to the ﬁnal node stations. The process of cargo transportation is followed by the set rule of control. For such a model, one must determine possible modes of cargo transportation and describe their properties. This model is described by a ﬁnite-dimensional system of diﬀerential equations with nonlocal linear restrictions. The class of the solution satisfying nonlocal linear restrictions is extremely narrow. It results in the need for the “correct” extension of solutions of a system of diﬀerential equations to a class of quasi-solutions having the distinctive feature of gaps in a countable number of points. It was possible numerically using the Runge–Kutta method of the fourth order to build these quasi-solutions and determine their rate of growth. Let us note that in the technical plan the main complexity consisted in obtaining quasi-solutions satisfying the nonlocal linear restrictions. Furthermore, we investigated the dependence of quasi-solutions and, in particular, sizes of gaps (jumps) of solutions on a number of parameters of the model characterizing a rule of control, technologies for transportation of cargo and intensity of giving of cargo on a node station.
Event logs collected by modern information and technical systems usually contain enough data for automated process models discovery. A variety of algorithms was developed for process models discovery, conformance checking, log to model alignment, comparison of process models, etc., nevertheless a quick analysis of ad-hoc selected parts of a journal still have not get a full-fledged implementation. This paper describes an ROLAP-based method of multidimensional event logs storage for process mining. The result of the analysis of the journal is visualized as directed graph representing the union of all possible event sequences, ranked by their occurrence probability. Our implementation allows the analyst to discover process models for sublogs defined by ad-hoc selection of criteria and value of occurrence probability
The geographic information system (GIS) is based on the first and only Russian Imperial Census of 1897 and the First All-Union Census of the Soviet Union of 1926. The GIS features vector data (shapefiles) of allprovinces of the two states. For the 1897 census, there is information about linguistic, religious, and social estate groups. The part based on the 1926 census features nationality. Both shapefiles include information on gender, rural and urban population. The GIS allows for producing any necessary maps for individual studies of the period which require the administrative boundaries and demographic information.
Existing approaches suggest that IT strategy should be a reflection of business strategy. However, actually organisations do not often follow business strategy even if it is formally declared. In these conditions, IT strategy can be viewed not as a plan, but as an organisational shared view on the role of information systems. This approach generally reflects only a top-down perspective of IT strategy. So, it can be supplemented by a strategic behaviour pattern (i.e., more or less standard response to a changes that is formed as result of previous experience) to implement bottom-up approach. Two components that can help to establish effective reaction regarding new initiatives in IT are proposed here: model of IT-related decision making, and efficiency measurement metric to estimate maturity of business processes and appropriate IT. Usage of proposed tools is demonstrated in practical cases.