ABSTRACTS OF ARTICLES OF THE JOURNAL "INFORMATION TECHNOLOGIES".
No. 6. Vol. 22. 2016

To the contents

N. V. Britvin¹, expert, britvin.nickita@yandex.ru, E. O. Karpukhin^{1, 2}, Senior Staff Scientist, ret1987@yandex.ru
¹Design Information Technologies Center, Russian Academy of Sciences
²Moscow Aviation Institute (National Research University)

Development a Simulation Model of the Attack "Man in the Middle" for Studies the Effectiveness Data-Driven Interaction Protocols

The tasks, related to evaluating and improving the effectiveness of protocols and protection means from various attacks, are relevant for majority of enterprises, including aerospace industry. Improving data-driven interaction protocols and protection means, based on the detection of anomalies in the network by monitoring the changing characteristics of information flows when exposed to an attacker, requires the development of an adequate model to describe the actual implementation of such an attack, as a "man in the middle". To achieve this target, in this work was carried the analysis of the main characteristics of the process data transferring over a network, that are affected by the attack "man in the middle". It defines the principles of attacks to simulated data transmission system and the implications of this attack. The result of this work is a software tool to simulate the presence of attacker in the network, allowing the attacker to investigate the influence on the process of information exchange between subscribers in the form of delays, loss, distortion and reduce packet data rate. It also provides methods and features of application developed model.
Keywords: attack "man in the middle", data-driven interaction, protocol optimization, model of the attacker, TCP, UDP

P. 403—408

V. A. Bogatyrev, Professor, e-mail: Vladimir.bogatvrev@gmail.com, A. V. Bogatyrev, Post Graduate Saint Petersburg National Research University of Information, Technologies, Mechanics and Optics

The Reliability of the Cluster Real-Time Systems with Fragmentation and Redundant Service Requests

For clustered systems, real-time, consolidating server resources, with the organization of local queues in each of them proposed the assessment of the probability that the waiting time of requests in their fragmentation and redundant parallel execution fragments in different nodes of a cluster is lower than the maximum permissible value.
Purpose — to improve the timeliness of service requests in real time the result of fragmentation and the reservation requests.
To achieve the goal of the research disciplines of service at the requirement of delivery of results within the deadlines, providing:
• splitting (fragmentation) of the query into parts that are executed in different nodes of a cluster (paralleling service the request);
• fragmentation of the query with redundant execution copies of fragments in different nodes of a cluster.
Analyzed the impact of fragmentation and multiplicity of redundancy calculations on the probability of timely fulfillment of requests in terms of possible failures and errors of calculations.
The possibility of increasing the probability of timely fulfillment of requests when splitting a query into pieces (fragments) with redundant parallel execution of query fragments to different nodes of a cluster. In this case, when the low probability of timely maintenance increases with the increase of number oi fragments and the multiplicity of redundancy they will run on different nodes of a cluster.
The existence of the border intensity input stream, below which the query is broken into pieces with their concurrent execution of different nodes leads to an increase in the probability of servicing the request within the deadlines, and the fragmentation efficiency increases with increasing multiplicity of redundancy when performing fragments.
The proposed model can be used to assess the functional reliability and the choice of the paralleling and redundancy of the computational process for real-time computing and control systems of cluster architecture.
Keywords: reliability, redundant computation, real-time, cluster, requests, Queuing system, Queuing, fragmentation

P. 409—416

M. Yu. Neustroev, Graduate Student, e-mail: m.neustroev@gmail.com, State Educational Institution of Higher Education Moscow Region "University of technology", Korolev, Moscow region

Analysis of Performance of Efficiency and Speed of Service in Call Centers

In the article the analysis of already exist of existing models samples using IVR-systems, shows the need for further research and development of algorithms to intelligently manage calls the IVR-system without participation of operators to reduce the loading call centers.
Keywords: Service call center, interactive voice response (IVR), call center efficiency, ASA, waiting time, time for maintenance, loading operators, voice message

P. 416—422

A. B. Filimonov, Professor, filimon_ab@mail.ru, Fam Fuong Kuong, an intern, cuongbkedu@yahoo.com, Moscow Technological University

Dynamic Aerial Target Recognition by Using Radar Range Profiles

This article considers the problem of aerial target recognition based on analysis characteristics of radar range profiles and also information base structure of recognition system. We will compare static and dynamic recognition schemes. Firstly static pattern of target is built, this pattern is data received at a moment. Secondly dynamic patterns of target are built, they are tracking data of target in a specific period of time.
There is an important feature of radar range profiles: they have complex configuration and their range profiles can be greatly changed when change observation angle. Moreover, some aerial targets of different types in different course angles may have similar range profiles and therefore generate indistinguishable pattern in the signature space. Thus, the static recognition schemes may give wrong answers regardless of the choice of informative signatures and make it difficult or even exclude the possibility of their practical use.
Studies show that required reliability and quality of moving target recognition can be obtained by applying dynamic recognition scheme. In this scheme, dynamic pattern is built by data aggregation at different moments of radar observation.
Radar observation occurs in noise and interference conditions, which limits resolution and accuracy of radar, uncertainties and variability of reflection properties of targets. Therefore, only robust recognition algorithms can have practical value, they are designed to work in conditions of uncontrolled disturbing factors. These dynamic recognition schemes allow to minimizing the impact of uncertainty factors by expanding data base of recognition algorithms.
The first stage of radar recognition procedure is forming informative signatures, which is considered as an input pattern tuple of target observation, then it solves the problem pattern classification. There are two ways of dynamic aerial target recognition, which differ in the processing order of observation data. The first method uses aggregation of input data, which is supplied to the input of the classifier. In the second method, aggregation procedure applies with respect to the output data of the classifier.
Keywords: radar, radar observation, aerial target recognition, range profiles, informative signatures, dynamic patterns, data aggregation, dynamic recognition schemes

P. 423—430

P. S. Poperechny, Postgraduate, IPPM RAS, e-mail: ppoperechny@elvees.com, Institute for Design Problems in Microelectronics

Errr-Correcting Capability Estimating for RS and BCH Codes

This paper proposes the approach of estimating of error-correcting capability by means of changed Binary Symmetric Channel (BSC). It's known that Reed-Solomon codes are more powerful than any codes with the same code-rate and data length. But to prove it there is a special BSC with packet error. Actually it's shown that RS codes have advantages both in correcting-level capability and in apparatus resources.
Keywords: RS, BCH, correcting level capability, BSC, Galois field

P. 431—435

S. S. Dvornikov, Assistant, e-mail: dvornikov_s_s@mail.ru, S. V. Dvornikov, Professor, e-mail: practicdsv@yandex.ru, Budyonny Military Academy of the Signal Corps, Saint-Peterburg

Forming Signals with Continuous Phase for Broadcast Discrete Information

The limitation of frequency range requires the development of new types of modulated signals. To determine the effectiveness of new types of signals are invited to identify the noise immunity of the signals and their spectral efficiency as a criteria. Protection against interference is defined by the signal / noise ratio, for predetermined value of the bit error rate. Under spectral efficiency we mean the bandwidth required to reliably transmit the signal at a predetermined rate.
Currently, the most effective criterion for noise immunity is phase shift keying. Therefore signals of PSK were taken as the basis for the study. The analysis showed that the synthesis signals of phase shift keying can be representing as a sequence of radio pulses. The RF pulse duration is determined by changed of the phase discontinuity information symbol. Consequently, the spectrums of phase-shift keyed signals are similar to the spectrum of a sequence of pulses. Provided that the sequence and signals have the same data rate.
The results allow concluding that the phase-shift keyed signals have a good the noise immunity, but they do not satisfy in terms of spectral efficiency. This fact explains the phase discontinuity when changing the information symbol.
In order to improve the spectral efficiency of the phase-shifted signals are invited to perform the following sequence of actions.
In the first phase is created a signal which is a modulating signal. The modulating signal is a signal whose phase signal is manipulated by the law of the information signal. Thus, the minimum length of the information signal is equal to one period of the frequency of the modulating oscillations. The result is a phase-shift keyed signal of low frequency.
The second stage of algorithm produces a resultant modulated signal. For this purpose, phase of high frequency signal formed by the law by which changes phase-shift keyed signal of low frequency.
The result is obtained the signal of phase-modulation, whose spectrum occupies a smaller bandwidth compared with the corresponding speed transmission PSK signal. At the same time, the resultant signal of phase-modulation allows you to transfer discrete information. This fact makes it interesting for digital information transmission systems via radio.
The experiment showed that a new class of signals is has 2—3 times better spectral efficiency level of conservation in the transmission band of 85—95 % of the energy. A new class is defined as signals with signals of phase-modulated continuous-discrete.
Keyword: phase manipulation, discrete information, spectral efficiency signals, phase manipulation with smoothly phase changes, control channels

P. 435—440

Yu. I. Petrov, Assistant Professor, Moscow University of Technology, e-mail: mailtoYuriPetrov@gmail.com

Decision Support System for Development of Technically Complex Manufactured Goods

Despite different estimates of experts, industrial sector still remains and probably will be the basis of the economies of the states with the high level of technological development. Thus competitiveness of the state and specific branch of national economy is defined by competitiveness of the enterprises which, in turn, significantly depends on competitiveness of their goods. Problems of the goods competitiveness of the domestic industrial enterprises are still in big relevance in connection with the imposed anti-Russian sanctions, and need of new markets development according to increase in influence of the countries of BRICS in the world.
Creation of new model (assortment unit) of the complex industrial product requires the solution of many tasks and execution of a set of the operations integrated by the corresponding business process. In previous author's papers a business-process, that allows to approach optimum in a problem of product development and takes into account some of the enterprises specifics, was offered. However the optimization models provided in the business process (based on a Knapsack problem with boolean variables) are enough labor-consuming and leads to the idea of special software development (decision support system), that can be programmed according to the offered methodology and can facilitate making decisions on product design to the expert.
Article considers issues of design and implementation of the decision support system, that includes two components: server-side (Firebird Server) and client-side (Delphi desktop application). Using system, the specialist has an opportunity to work with a product development problem, to make projects, to fill conditions of problems, database of accessories and competitors' products, and also to carry out the analysis of the decisions, having opportunity to see results of work in an electronic or printed form.
Keywords: information system, analytical information system, software, business process, monitoring, publishing holding, OLAP, Delphi, PostgreSQL, product competitiveness, complex industrial products development.

P. 441—446

ΐ. N. Rodionov, Doctor of technical sciences, Leading Researcher, Computer Centre Of Far-Eastern Branch of RAS, ran@newmail.ru

System Interrelation of Conceptual Data Model Key Categories

This paper examines dynamic aspects of entities behavior at domain of interest by means of original entities lifespan models (ELM). After some supplements to extended event driven process chain (eEPC) model the last uses as a basic for ELM. Such ELM enables to determine entities trajectories and objects which compel entities to migrate with the confine of area. Dynamic of entity interprets as property changes due to interaction of an entity with another objects including entities. Any ELM associates with one and only one property which have to be modified. Actions, events and conditions as components of an entity lifespan are connected with objects and timestamps. Thereby all data model categories become interlocking and pursue the aim to derive more detail and exact database. Addition of unified structures for recording ELM and its instances in data model permits to construe some information objects as roles.
Keywords: entity lifespan, roles, states, actions, timestamps, data model, data structures

P. 447—457

Μ. V. Kuznetsova¹, Graduate Student, V. V. Strijov², Leading Researcher
¹Moscow Institute of Physics and Technology, Moscow;
²Computing Centre of the Russian Academy of Sciences, Moscow

Local Forecasting of Time Series with Invariant Transformations

The paper describes a univariate time series forecasting model. It proposes to find — segments of local history, which are similar to the forecasted segment. A distance function is used to cluster segments. The forecast is the average of the value of time series from this cluster. To improve the quality of forecast the paper proposes an invariant transformation of segments. This transformation holds the equivalence of time series respect to clusters. The transformation is a function, constructed by the dynamic time warping procedure. The retrospective forecasting procedure calculates the accuracy of the forecasting model. Accelerometer time series of a person's motion are used in computational experiment. It compares two constructing forecasting models. The first one clusters segments, the second one uses k-nearest neighbor algorithm to select similar segments.
Keywords: clustering, k-nearest neighbor algorithm, dynamic time warping, warping path, dynamic aligning, local forecasting, monotonic transformation, retrospective forecast, supported segment

P. 457—462

A. N. Chetyrbotsky, D. Sc., Leading Researcher, Far East Geological Institute, The Far Eastern Federal University, e-mail: Chetyrbotsky@yandex.ru

Automatic Classification of Objects of Multidimensional Sampling Recursive Method of Constructing Curves of Peano (for Example, Fisher's iris data)

Based on the recursive method of constructing curves of Peano developed an algorithm of automatic classification of objects of multidimensional sampling. The essence of development is to agree among themselves the respective distributions of images of objects on the segment of the real axis. To evaluate the performance of the algorithm used publicly available for use by the sample of 150 observations of four-three species of iris flowers (Fisher's iris data). The results of the algorithm and performed their analysis.
Keywords: multidimensional sampling, cluster analysis, space-filling curves

P. 463—466

M. H. Mammadova, D. Sc. of eng., Prof., Head of Department IIT of ANAS, Z. G. Jabrayilova, Phd of eng., Assistant Prof., Chief Researcher IIT of ANAS Institut of Information Technology of Azerbaijan National Academy of Science, AZ1141, Azerbaijan Republic, Baku ρ., B. Vahabzadeh str., 9, depart15@iit.ab.az, www.ikt.az

The Methodological Approach to Multi-Criteria Decision-making in Human Resource Management

The methodological approach to decision-making in human resource management (HRM) is developed. The paper presents a generalized conceptual decision-making model in HRM. To ensure the adaptability of multi-criteria decision-making in HRM a modified TOPSIS method is proposed. Introducing additional components into the decision-making algorithm, this modification excludes the hierarchal structure of criteria, and takes into account the competence of experts. The method is tested on the employment case study.
Keywords: human resource management, decision-making, fuzzy environment, multi-criteria optimization, experts' competence, TOPSIS method

P. 467—480

To the contents