Book
2018 Engineering and Telecommunication (EnT-MIPT)
The highest rates of use of Internet technologies and, first of all, the Internet of things, in various fields of human activity, impose new requirements to ensure information security of objects of risk. Cyber attacks can cause huge material and financial damage. The complexity of countering cyber attacks is primarily due to their high technology. Therefore, only the use of intelligent means and systems of counteraction can be a real protection against malicious intrusion.
Infocommunication services industry is a branch of material production involved in the creation of material goods and national income. Each production industry, except for the General features peculiar to all branches of material production, has its own characteristics, leaving an imprint on the nature of its enterprises. In the field of Infocommunications, this is primarily a feature of the subject of labor, which are the services provided to their consumers using infocommunication systems. Infocommunication products are not in the form of a product or thing. K. Marx called it a useful effect delivered to the consumer of this effect through the transmission of messages (information, content). Despite the immaterial nature of infocommunication products, it is material, as it is a product of spatial movement, which by its nature is material
Abstract—This article proposes the order of description and classification of digital traces of the attacking object and new methodical recommendations for creating a protection function to counter cyber attacks.
Abstract—This article proposes the order of description and classification of digital traces of the attacking object and new methodical recommendations for creating a protection function to counter cyber attacks.
Nowadays, the NearNorth of Russia undergoes a fateful epoch. The processes of destruction of the old world order in economic, social and cultural relations is not only continuing, but increasing its pace. The omnipresent destruction is manifested through the depopulation of villages and small towns, further decline in agricultural production, "consolidation" (actually closing) of educational institutions and health care centers, and the degradation of infrastructure. The compressed social space of the Middle North of Russia is shrinking in concentric circles around the regional centers, increasing the vastness of social vacuum and the white space, with the latter being gradually occupied by the mutating natural forms. In addition, yet another (opposite) trend can be identified. It is associated with the escalation of migration amongst the dwellers of the large cities, especially megalopolises, to rural areas.
Extensive development of Russian cities, especially Moscow and St. Petersburg, has revealed serious social problems that had previously not been fully taken into account. In particular, the rapid escalation and exacerbation of social problems determine the quality of life in cities. From one perspective, Moscow and St. Petersburg are represented as thriving metropolises possessing a whole set of such social attractors as rich and comfortable residential buildings, shopping malls with international brands, best restaurants, medical facilities and other requisites of the upper classes. However, parallel to these features, the quality of life in metropolitan areas is determined by such parameters as the deteriorating environmental conditions, increase in street (and other types of) crime, unsolvable traffic conditions which reduce inner-city mobility to a minimum, and the decline of anti-terrorist security.
In the Middle North of Russia, especially in the Kostroma region, one particular trend became evident: there has been a transition from the seasonal migration to dachas towards the ‘settled’ migration related not only to the summer recreation, but also to the industrial activity in the framework of modern technologies. Specifically, modern forms of labor in the field of information technology were initially (and still remain to be) exterritorial in nature. Those working with data tend to be indifferent to the location of their job – what is important to them is a point of connection to the network and a portal for entry into hyperspace.
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
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.