Pub Date : 2015-05-19DOI: 10.1109/SCM.2015.7190470
D. Levonevskiy, R. Fatkieva, S. R. Ryzhkov.
The aim of research is to increase the network attack detection accuracy by means of fuzzy logic. This paper considers an approach to intrusion detection using fuzzy logic. The approach is based on network monitoring of the variables characteristic of different network anomalies, such as ratio of the incoming traffic to the outgoing, packet size, etc. Every type of menace is characterized by a vector of fuzzy values describing the network state when this menace is present. These vectors constitute the fuzzy rule matrix. This article proposes computation of the integral indicator of the presence of any menace using the rule matrix.
{"title":"Network attacks detection using fuzzy logic","authors":"D. Levonevskiy, R. Fatkieva, S. R. Ryzhkov.","doi":"10.1109/SCM.2015.7190470","DOIUrl":"https://doi.org/10.1109/SCM.2015.7190470","url":null,"abstract":"The aim of research is to increase the network attack detection accuracy by means of fuzzy logic. This paper considers an approach to intrusion detection using fuzzy logic. The approach is based on network monitoring of the variables characteristic of different network anomalies, such as ratio of the incoming traffic to the outgoing, packet size, etc. Every type of menace is characterized by a vector of fuzzy values describing the network state when this menace is present. These vectors constitute the fuzzy rule matrix. This article proposes computation of the integral indicator of the presence of any menace using the rule matrix.","PeriodicalId":106868,"journal":{"name":"2015 XVIII International Conference on Soft Computing and Measurements (SCM)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122924483","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-05-19DOI: 10.1109/SCM.2015.7190427
V. I. Yants, A. Chernov, M. Butakova, E. V. Klimanskaya
The aim is the development of a new multi-level model of fuzzy semi-structured information data storage. A distinction of the proposed model from known is the use of extended polybasic intuitionistic sets for description of fuzzy data and representation of fuzzy attributes on three typing levels. The main result is formal description of fuzzy semi-structured data storage. To verify the result an example of application the developed model of data storage in the intellectual diagnostic decision-making system for railway transport is showed.
{"title":"Multilevel data storage model of fuzzy semi-structured data","authors":"V. I. Yants, A. Chernov, M. Butakova, E. V. Klimanskaya","doi":"10.1109/SCM.2015.7190427","DOIUrl":"https://doi.org/10.1109/SCM.2015.7190427","url":null,"abstract":"The aim is the development of a new multi-level model of fuzzy semi-structured information data storage. A distinction of the proposed model from known is the use of extended polybasic intuitionistic sets for description of fuzzy data and representation of fuzzy attributes on three typing levels. The main result is formal description of fuzzy semi-structured data storage. To verify the result an example of application the developed model of data storage in the intellectual diagnostic decision-making system for railway transport is showed.","PeriodicalId":106868,"journal":{"name":"2015 XVIII International Conference on Soft Computing and Measurements (SCM)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115439587","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-05-19DOI: 10.1109/SCM.2015.7190484
E. E. Kotova
The work is based on a dynamic approach to modeling of learning processes. The conceptual framework of the control system is organized on the principle of feedback, separation of teaching and adaptation to the individual characteristics of the student. The purpose of the control system is to reduce the deviation of the actual knowledge level of a given training program. The knowledge accumulation process of so-called "at-risk" students is researched. The method of the didactic resources distribution based on logical models is also proposed.
{"title":"Method to support decision-making on the allocation of educational resources in the learning process","authors":"E. E. Kotova","doi":"10.1109/SCM.2015.7190484","DOIUrl":"https://doi.org/10.1109/SCM.2015.7190484","url":null,"abstract":"The work is based on a dynamic approach to modeling of learning processes. The conceptual framework of the control system is organized on the principle of feedback, separation of teaching and adaptation to the individual characteristics of the student. The purpose of the control system is to reduce the deviation of the actual knowledge level of a given training program. The knowledge accumulation process of so-called \"at-risk\" students is researched. The method of the didactic resources distribution based on logical models is also proposed.","PeriodicalId":106868,"journal":{"name":"2015 XVIII International Conference on Soft Computing and Measurements (SCM)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114544040","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-05-19DOI: 10.1109/SCM.2015.7190401
T. V. Tulupyeva, A. Suvorova, A. Toropova
Problem of evidence coherence is considered. Respondent's data coherence estimation method in risky behavior estimation model is proposed. An example of proposed method using is shown.
{"title":"Evidence coherence estimation in risky behavior","authors":"T. V. Tulupyeva, A. Suvorova, A. Toropova","doi":"10.1109/SCM.2015.7190401","DOIUrl":"https://doi.org/10.1109/SCM.2015.7190401","url":null,"abstract":"Problem of evidence coherence is considered. Respondent's data coherence estimation method in risky behavior estimation model is proposed. An example of proposed method using is shown.","PeriodicalId":106868,"journal":{"name":"2015 XVIII International Conference on Soft Computing and Measurements (SCM)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114687846","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-05-19DOI: 10.1109/SCM.2015.7190454
V. Abaturov, A. Dorogov
The organization of service-oriented knowledge extraction analytical platform infrastructure based on DBMS PostgreSQL is considered. The architecture of analytical platform infrastructure that satisfies requirements of SQL/MM and PMML standards is proposed. The analytical platform infrastructure contains the services and resources storages which are called repository. The logical data model of analytical platform infrastructure is shown.
{"title":"The repository of service-oriented analytical platform","authors":"V. Abaturov, A. Dorogov","doi":"10.1109/SCM.2015.7190454","DOIUrl":"https://doi.org/10.1109/SCM.2015.7190454","url":null,"abstract":"The organization of service-oriented knowledge extraction analytical platform infrastructure based on DBMS PostgreSQL is considered. The architecture of analytical platform infrastructure that satisfies requirements of SQL/MM and PMML standards is proposed. The analytical platform infrastructure contains the services and resources storages which are called repository. The logical data model of analytical platform infrastructure is shown.","PeriodicalId":106868,"journal":{"name":"2015 XVIII International Conference on Soft Computing and Measurements (SCM)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126203991","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-05-19DOI: 10.1109/SCM.2015.7190398
L. Zvyagin
The article contains practical algorithm for the adaptive Bayesian approach to the synthesis of algorithms for joint detection-estimation using multi-channel and adaptive schemes for joint detection-estimation.
本文包含了自适应贝叶斯方法的实用算法，以综合多通道联合检测估计算法和自适应联合检测估计算法。
{"title":"The adaptive Bayesian approach to the synthesis of algorithms for joint detection — Estimation","authors":"L. Zvyagin","doi":"10.1109/SCM.2015.7190398","DOIUrl":"https://doi.org/10.1109/SCM.2015.7190398","url":null,"abstract":"The article contains practical algorithm for the adaptive Bayesian approach to the synthesis of algorithms for joint detection-estimation using multi-channel and adaptive schemes for joint detection-estimation.","PeriodicalId":106868,"journal":{"name":"2015 XVIII International Conference on Soft Computing and Measurements (SCM)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124146423","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-05-19DOI: 10.1109/SCM.2015.7190440
N. Y. Bogula, S. Chermoshencev, I. Suzdaltsev
This paper is devoted to the development and study of evolutionary algorithms for solving multiobjective problems of high-speed digital electronic PCB design. The paper examines the criteria and constraints of the PCB design problems, and the research results are described.
{"title":"Evolutionary algorithms for digital electronic printed circuit board design","authors":"N. Y. Bogula, S. Chermoshencev, I. Suzdaltsev","doi":"10.1109/SCM.2015.7190440","DOIUrl":"https://doi.org/10.1109/SCM.2015.7190440","url":null,"abstract":"This paper is devoted to the development and study of evolutionary algorithms for solving multiobjective problems of high-speed digital electronic PCB design. The paper examines the criteria and constraints of the PCB design problems, and the research results are described.","PeriodicalId":106868,"journal":{"name":"2015 XVIII International Conference on Soft Computing and Measurements (SCM)","volume":"141 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114505419","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-05-19DOI: 10.1109/SCM.2015.7190412
S. Orlov
The article deals with the organization of effective work of the development teams of complex software systems. The structure of the P2P network with peer interaction of actors with the information and communication environment is given. The auction mechanism is constructed and the game theory model of policy objectives to minimize the design time of software projects is described. The methodology for constructing artificial objects (actors) and practical boundaries according with the Data Envelopment Analysis method are considered. This allows us to refine the knowledge of actors on the parameters of the partners in the game during the auction allocation of tasks.
{"title":"Reflexive game model for control the teams of software developers","authors":"S. Orlov","doi":"10.1109/SCM.2015.7190412","DOIUrl":"https://doi.org/10.1109/SCM.2015.7190412","url":null,"abstract":"The article deals with the organization of effective work of the development teams of complex software systems. The structure of the P2P network with peer interaction of actors with the information and communication environment is given. The auction mechanism is constructed and the game theory model of policy objectives to minimize the design time of software projects is described. The methodology for constructing artificial objects (actors) and practical boundaries according with the Data Envelopment Analysis method are considered. This allows us to refine the knowledge of actors on the parameters of the partners in the game during the auction allocation of tasks.","PeriodicalId":106868,"journal":{"name":"2015 XVIII International Conference on Soft Computing and Measurements (SCM)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114662484","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-05-19DOI: 10.1109/SCM.2015.7190400
E. D. Shishkina
The article describes the method of risks calculation on all stages of project life cycle on the basis of application of the Bayesian networks. Programmatic realization of this method is carried out by the Hugin software package.
{"title":"Bayesian networks as probabilistic graphical model for economical risk assessment","authors":"E. D. Shishkina","doi":"10.1109/SCM.2015.7190400","DOIUrl":"https://doi.org/10.1109/SCM.2015.7190400","url":null,"abstract":"The article describes the method of risks calculation on all stages of project life cycle on the basis of application of the Bayesian networks. Programmatic realization of this method is carried out by the Hugin software package.","PeriodicalId":106868,"journal":{"name":"2015 XVIII International Conference on Soft Computing and Measurements (SCM)","volume":"2015 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121481448","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-05-19DOI: 10.1109/SCM.2015.7190449
A. Dorogov
Basic technologies for creation of predicative analytical core for industrial systems of decision-making processes supporting are considered. It is proposed to use architectural solutions based on international standards of Data Mining. Issues of mobility and computational efficiency of analytical technologies for Big Data are discussed.
{"title":"Technologies of predictive analytics for big data","authors":"A. Dorogov","doi":"10.1109/SCM.2015.7190449","DOIUrl":"https://doi.org/10.1109/SCM.2015.7190449","url":null,"abstract":"Basic technologies for creation of predicative analytical core for industrial systems of decision-making processes supporting are considered. It is proposed to use architectural solutions based on international standards of Data Mining. Issues of mobility and computational efficiency of analytical technologies for Big Data are discussed.","PeriodicalId":106868,"journal":{"name":"2015 XVIII International Conference on Soft Computing and Measurements (SCM)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121510203","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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