检索结果-内蒙古大学图书馆

Methodology to Improve the Quality of Cyber Threat Intelligence Production Through Open Source Platforms 1

International Conference on Computer Science, Electronics, and Industrial engineering, CSEI 2022

作者： Machado da Silva, Rogerio Costa Gondim, João José de Oliveira Albuquerque, Robson Professional Post-Graduate Program in Eletrical Engineering - PPEE Department of Eletrical Engineering University of Brasília Distrito Federal Brasília70910-900 Brazil

ISBN: (数字)9783031305924

ISBN: (纸本)9783031305917

In cyberspace, boundaries are constantly being crossed in the name of progress and convenience, and invariably result in new vulnerabilities and potential attacks. Traditional security approaches are not able to contain the dynamic nature of new techniques and threats, which are increasingly resilient and complex. In this scenario, the sharing of threat intelligence is growing. However, the vast majority of data is shared in the form of unstructured textual reports, or extracted from blogs and social media. These data sources have been imposing great limitation on security analysts due to the high volume and low quality of Cyber Threat Intelligence (CTI). Among the various aspects that impose limitations on the use of CTI, we focus on data quality. Inaccurate, incomplete or outdated information makes actions reactive, in no way different from traditional approaches. However, quality threat intelligence has a positive impact on incident response time. In this work we propose an Indicator of Compromise enrichment process to improve the quality of CTI, based on the intelligence production cycle, we conduct research to define metrics capable of evaluating the CTI produced through open source licensed threat intelligence platforms. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Cybersecurity

来源：评论

学校读者我要写书评

暂无评论

High impedance fault classification in microgrids using a transformer-based model with time series harmonic synchrophasors under data quality issues

引用

Neural Computing and Applications 2024年第23期36卷 14017-14034页

作者： Cieslak, Dionatan A. G. Moreto, Miguel Lazzaretti, André E. Macedo-Júnior, José R. PPGEEL - Graduate Program in Electrical Engineering Federal University of Santa Catarina UFSC R. Eng. Agronômico Andrei Cristian Ferreira s/n Santa Catarina Florianópolis88040-900 Brazil CPGEI - Graduate Program in Electrical and Computer Engineering Federal University of Technology - Paraná UTFPR Av. Sete de Setembro 3165 Paraná Curitiba80230-901 Brazil PPGEELT - Graduate Program in Eletrical Engineering Federal University of Uberlândia UFU Av. João Naves de Ávila 2121 Minas Gerais Uberlândia38408-100 Brazil

Recent advances in distribution networks, driven by the integration of renewable energy sources, have spurred the emergence of microgrids, elevating concerns regarded reliability and stability. In this context, precise monitoring of events, particularly those elusive to detection like high-impedance faults (HIFs), becomes imperative. The development of phasor measurement units (PMUs) with their harmonic synchronized measurements has enhanced the monitoring task and fostering the application of synchrophasors even on microgrids. This work introduces a novel method for event classification in microgrids, utilizing combined low-rate PMU data and harmonic synchrophasor time series. Central to our approach is the usage of a state-of-the-art transformer neural network, based on the attention mechanism, to effectively discern HIFs from other faulty and non-fault events. Notably, this methodology accounts for prevalent PMU data quality issues, including noise, missing data, and synchronism errors. Results from real-world HIF data demonstrate a robust performance, with an accuracy rate of approximately 98% in event classification. This harmonic synchrophasor-based strategy showcases promise as an original approach for handling commercial PMU data, offering sufficient robustness for deployment in real-world applications. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2024.

关键词： Phasor measurement units

来源：评论

学校读者我要写书评

暂无评论

Multi-Objective Grey Wolf Optimizer for the Identification Process of a real MIMO System

Multi-Objective Grey Wolf Optimizer for the Identification P...

引用

IEEE/IAS International Conference on Industry Applications (INDUSCON)

作者： Allan Christian Krainski Ferrari Gideon Villar Leandro Leandro dos Santos Coelho Eletrical Engineering Department Federal University of Paraná UFPR Curitiba Brazil Electrical Engineering Graduate Program (PPGEE) Federal University of Paraná (UFPR) and Industrial and Systems Engineering Graduate Program (PPGEPS) Pontifical Catholic University of Paraná (PUCPR)

This article implements the multi-objective grey wolf optimizer (MOGWO) in the identification process of a multivariable system. For a sequence of 100 runs, MOGWO approach had compared and analyzed with the grey wolf optimizer (GWO), the single-objective version. In the computational simulation, the determination coefficient values and mean square error had used to analyze the quality of the models obtained. In the results, MOGWO showed superior to GWO to the differences between the order of magnitude of the system outputs. The implementation shows that MOGWO and other multi-objective metaheuristics can be an alternative method to solve problems of identification processes of multivariable systems.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Multi-Objective Grey Wolf Optimizer for the Tuning Process of the FOPID Controller

Multi-Objective Grey Wolf Optimizer for the Tuning Process o...

引用

IEEE/IAS International Conference on Industry Applications (INDUSCON)

作者： Allan Christian Krainski Ferrari Gideon Villar Leandro Leandro Dos Santos Coelho Gilberto Reynoso Meza Eletrical Engineering Department Federal University of Paraná UFPR Curitiba Brazil Electrical Engineering Graduate Program (PPGEE) Federal University of Paraná (UFPR) Industrial and Systems Engineering Graduate Program (PPGEPS) Pontifical Catholic University of Paraná (PUCPR) Industrial and Systems Engineering Graduate Program (PPGEPS) Pontifical Catholic University of Paraná Curitiba Brazil

This article implements the multi-objective grey wolf optimizer (MOGWO) in the tuning process of the gains of the Fractional-Order Proportional-Integral-Derivative (FOPID) controller applied in the control of a boiler system. For a sequence of 100 runs, this application had compared and analyzed with other implementation that uses MOGWO to optimize the gains of the classical Proportional-Integral-Derivative (PID) controller. In the computational simulation, the value hypervolume metric had used to analyze the performance of the controllers. In the results, the implementation of the FOPID showed superior to PID, where the comparison had validated by a hypothesis test. Despite the higher computational cost concerning the tuning process of the PID controller, this study proved that the FOPID controller can be advantageous for industrial applications.

关键词：

来源：评论

学校读者我要写书评

暂无评论

USASAT-NGSO-3X Filing Analysis Using ITU-BR GIBC Software For Various Orbital Shells

USASAT-NGSO-3X Filing Analysis Using ITU-BR GIBC Software Fo...

引用

IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS)

作者： Fika Triana Meiditomo Sutyarjoko Heroe Wijanto Graduate Program of Regulation and Management of Telecommunication School of Eletrical Engineering Telkom University Bandung Indonesia Regulation and Management of Telecommunication School of Electrical Engineering Telkom University Bandung Indonesia The University Center of Excellence for Intelligent Sensing-IoT School of Electrical Engineering Telkom University Bandung Indonesia

ISBN: (数字)9798331543105

ISBN: (纸本)9798331543112

Interference is a significant problem in satellite communication operations, one of which is between Non-Geostationary Orbit (non-GSO) satellites and Geostationary Orbit (GSO) ground stations. To calculate the impact of this interference, an evaluation of the EPFD (Equivalent Power Flux Density) is carried out, which describes the average power density of the signal received at the receiving station location. This study conducted an in-depth study of the level of interference by signals from the USASAT NGSO-3X satellite in various orbital shells that affect the GSO system. By using the worst-case geometry method, the EPFD calculation can provide valuable insight into the level of interference that occurs. Based on the results of the study, it was concluded that a more in-depth study of the ITU-BR GIBC software algorithm was needed regarding the analysis of EPFD values using the worst-case geometry method. GIBC simulations show inconsistencies in the EPFD values correlated with the values set in Article 22 ITU-R and S.1503-2 ITU-R, both through aggregate and separate orbit examinations, so that a review of the ITU-R S.1503-2 algorithm is needed to ensure that interference between non-GSO satellites and GSO earth stations remains under control within the specified limits.

关键词： Space vehicles Geometry Earth Satellites Aggregates Space technology Software algorithms Interference Orbits Software

来源：评论

学校读者我要写书评

暂无评论

Mitigating Intentional Electromagnetic Interferences over the GSM-R System with Adaptive Filters

Mitigating Intentional Electromagnetic Interferences over th...

引用

International Conference on Applied Electromagnetics and Communications (ICECom)

作者： Artur N. de São José Virginie Deniau Úrsula do C. Resende Ricardo Adriano Graduate Program in Electrical Engineering Federal University of Minas Gerais French Institute of Science and Technology for Transport France Laboratory on Electronics Waves and Signal Processing for Transport French Institute of Science and Technology for Transport Development and Networks Villeneuve d’Ascq France Eletrical Engineering Department Federal Center for Technological Education of Minas Gerais Belo Horizonte Brazil Eletrical Engineering Department Federal University of Minas Gerais Belo Horizonte Brazil

ISBN: (数字)9781728155142

ISBN: (纸本)9781728155159

Intentional electromagnetic interference is a potential issue for railway networks based on ground-to-train communications. Reported mitigation techniques usually rely on electromagnetic compatibility classical procedures, which are not always the best option for such an unpredictable event. In this work, offline adaptive filtering is used to recover global system for mobile communications - railway damaged data.

关键词： Jamming Rail transportation Base stations Time-frequency analysis Downlink Noise measurement Convergence

来源：评论

学校读者我要写书评

暂无评论

Information to the Eye of the Beholder: Data Visualization for Many-Objective Optimization

Information to the Eye of the Beholder: Data Visualization f...

引用

Congress on Evolutionary Computation

作者： Ivan Reinaldo Meneghini Roozbeh H. Koochaksaraei Frederico G. Guimarães Antonio Gaspar-Cunha Graduate Program in Eletrical Engineering Universidade Federal de Minas Gerais Belo Horizonte MG Brazil Machine Intelligence and Data Science (MINDS) Laboratory Universidade Federal de Minas Gerais Belo Horizonte Brazil Institute for Polymers and Composites University of Minho Guimaraes Portugal

The visualization gap is one of the important challenges posed by many-objective optimization problems (MaOPs). In this paper, we present an integrated data visualization method for MaOPs, called CAP-vis plot, combining the Chord diagram, the Angular mapping and the Parallel coordinates in the same visualization. The method follows the circular design layout, showing different levels of information. This new approach allows the spatial location of points in high dimensional spaces, the visualization of harmony and conflict between objectives, as well as the comparison of the approximation sets provided by different algorithms. With this work, we try to fill the visualization gap and bring information to the eye of the decision-maker and the optimizer, with an intuitive overview of the obtained results. Some experiments were performed using the Benchmark Functions proposed for the IEEE-CEC 2018 Competition on Many-Objective Optimization. We used the tool to visualize the results obtained by NSGA-III, HypE, RVEA, MOEA/DD, PICEA-g, using the PlatEMO MATLAB platform, with the same parameter settings of the competition. The results on the Benchmark Problems show the importance of the qualitative analysis of the data. The experiments show how visualization can help interpretation of the results and identification of strengths and drawbacks of MOEA.

关键词： Data visualization Tools Optimization Layout Approximation algorithms Benchmark testing Linear programming

来源：评论

学校读者我要写书评

暂无评论

Multivariable nonlinear boiler power plant identification through neural networks and Particle Swarm Optimization approaches

Multivariable nonlinear boiler power plant identification th...

引用

IEEE/IAS International Conference on Industry Applications (INDUSCON)

作者： Fábio A. Guerra Helon V. H. Ayala André E. Lazzaretti Marcio R. Sans Leandro S. Coelho Cesar A. Tacla Eletroelectronics Department (DPEE) Electrical System Division (DVSE) Centro Politécnico da UFPR LACTEC-Institute of Technology for Development Curitiba Parana Brazil Industrial and Systems Engineering Graduate Program (LAS/PPGEPS) Pontifical Catholic University of Paraná Curitiba Parana Brazil Graduate Program in Eletrical Engineering and Industrial Informatics (CPGEI) Federal University of Technology Parana Curitiba Parana Brazil

The identification of nonlinear systems with artificial neural networks models has been successfully used in many applications. Most processes in industry are characterized by nonlinear and time-varying behavior. In this context, the identification of mathematical models for nonlinear systems is vital in many fields of engineering. The Radial Basis Function Neural Network (RBF-NN) is a powerful approach for nonlinear identification and can be improved using Particle Swarm Optimization (PSO) approaches. This paper presents a multivariable nonlinear system identification using RBF-NN combined with standard PSO and Constriction Factor PSO (CFPSO) approaches in order to determine the RBF-NN parameters. RBF-NN is considered to be a good choice for black-box modeling problems due to its rapid learning capacity and, therefore, has been applied successfully to nonlinear time series modeling and nonlinear identification. On the other hand, PSO was inspired by the choreography of bird flocks and fish schools and can be seen as a distributed behavior algorithm that performs multidimensional search. Furthermore, promising simulation results from performance analysis of the proposed RBF-NN with PSO training approaches are presented and discussed in this paper showing promising results.

关键词： Artificial neural networks Boilers Neurons Modeling Power generation Optimization Nonlinear systems

来源：评论

学校读者我要写书评

暂无评论

Integrated use of artificial neural networks and genetic algorithms for problems of alarm processing and fault diagnosis in power systems

Integrated use of artificial neural networks and genetic alg...

引用

2010 Asian Conference on Intelligent Information and Database Systems, ACIIDS 2010

作者： Fritzen, Paulo Cícero Cardoso Jr., Ghendy Zauk, João Montagner De Morais, Adriano Peres Bezerra, Ubiratan H. Beck, Joaquim A. P. M. Federal Institut of Education Science and Tecnology of Tocantins Campus Palmas IFTO Avenue LO 5 Block AE 310 South Palmas Tocantins 77021-090 Brazil Federal University of Santa Maria Eletrical Engineering Pós-Graduate Program UFSM Avenue Roraima 1000 Santa Maria Rio Grande do Sul 97105-900 Brazil Federal University of Pará Department of Electrical Engineering and Computer Street Augusto Corrêa 01 Guamá 66075-110 Belém Pará Brazil Centrais Elétricas Do Norte Do Brasil S/A Eletronorte Quarter 06 Set A B and Block C Asa Norte 70.716-901 Brasília DF Brazil

ISBN: (纸本)3642121446

This work approaches relative aspects to the alarm processing problem and fault diagnosis in system level, having as purpose filter the alarms generated during a outage and identify the equipment under fault. A methodology was developed using Artificial Neural Networks (ANN) and Genetic Algorithms (GA) in order to resolve the problem. This procedure had as initiative explore the GA capacity to deal with combinatory problems, as well as the ANN processing speed and generalization capacity. Such strategy favors a fast and robust solution. © 2010 Springer-Verlag Berlin Heidelberg.

关键词： Neural networks

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：