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Development of a Tool for modeling Security Threats of an Enterprise Information System 2

Development of a Tool for Modeling Security Threats of an En...

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2nd international conference on Electrical, Communication and computer Engineering, ICECCE 2020

作者： Kalugina, Olga Barankova, Inna Mikhailova, Uliana Computer Science and Iformation Security Nosov Magnitogorsk State Technical University Magnitogorsk Russia

ISBN: (纸本)9781728171166

A qualitative risk assessment of information security threats make it possible to solve the problem of information security most effectively. The paper analyzes existing approaches to assessing the security risks of information systems based on existing techniques. The stages and methods of compiling a threat model of an information system are considered. Methodological approaches to improving the methods of assessing information security risks are considered. Existing software solutions for compiling threat models based on building attack trees have been analyzed, and their capabilities have been tested. A conceptual approach is proposed to optimize the process of analyzing information security threats. The paper explains the feasibility of using software modeling approaches to optimize threat assessment procedures. For this purpose, an attack graph is used, which is automatically compiled taking into account the current information assets of an enterprise. The process of assessing information security threats is carried out considering a study of the initial state of the information system security and probabilistic characteristics of an actions of a violator. To automate the process of modeling threats of information security, a method for calculating the probability of the implementation of threats based on the fuzzy logic algorithm is proposed. The proposed software solution uses the threat database FSTEC of Russia. The program database is updated offline. © 2020 IEEE.

关键词： Security of data

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D2D Task Allocation System for Industrial Robots Based on JXTA 2

D2D Task Allocation System for Industrial Robots Based on JX...

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2nd international conference on Electrical, Communication and computer Engineering, ICECCE 2020

作者： Wang, Zhaoqi Zhang, Mengxin Lu, Xuanmin School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing China School of Cyberspace Security Beijing University of Posts and Telecommunications Beijing China School of Electronics and Information Northwestern Polytechnical University Beijing China

ISBN: (纸本)9781728171166

Traditional manufacturing industries are turning into intelligent factories. If industrial robots can communicate with each other and automatically allocate tasks, the pressure in the control center will be greatly reduced. Based on JXTA protocols and Android OS platform, this paper builds a device-to-device (D2D) communication system between industrial robots, which realizes the communication and resource sharing between robots and presents the application of adaptive ant colony optimization (ACO) in task allocation problem. The simulation shows that the result of this algorithm is close to the optimal solution with short CPU time and high efficiency. © 2020 IEEE.

关键词： Ant colony optimization

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Breaches Detection in Zebra Cross Traffic Light Using Haar Cascade Classifier 2

Breaches Detection in Zebra Cross Traffic Light Using Haar C...

引用

2nd international conference on Informatics, Multimedia, Cyber, and Information System, ICIMCIS 2020

作者： Anggadhita, Mahada Panji Widiastiwi, Yuni Faculty of Computer Science University of Pembangunan Nasional Veteran Jakarta Jakarta Indonesia

ISBN: (纸本)9781728191676

Traffic violations are common in the area zebra crossing at the location of traffic lights, violations are generally caused by the negligence of motorists who do not comply with existing regulations. As a result, there were many traffic accidents that could have been avoided. Starting from this problem, a simulation model tool is needed that is able to provide direct appeals to drivers when a violation occurs. Based on this, the purpose of this research is to create a simulation model to prevent accidents caused by motorists who are negligent of the rules by identifying vehicles that stop crossing the line boundaries. zebracross or drivers waiting for an out of place traffic light using imagery HaarCascade Classifiers which is programmed using Python and OpenCV to help process digital images. The results of this study that the Haar Cascade Classifier algorithm can characterize motorbikes well, with the best average accuracy value of 91.5% at a resolution of 720p. Based on the results obtained shows that the algorithm haar cascade classifier can detect violations that exist at traffic lights. Hence this indicates the rate of traffic violations can reduce by utilizing the algorithm haar cascade classifier. © 2020 IEEE.

关键词： Python

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Fault detection in active hybrid distribution networks: Overcoming uncertainty 2

Fault detection in active hybrid distribution networks: Over...

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2nd international conference on Smart Power and Internet Energy Systems, SPIES 2020

作者： Negari, Shahram Xu, David Ryerson University Depratement of Electrical and Computer Engineering TorontoON Canada

ISBN: (纸本)9781728166117

Fault detection in active hybrid distribution networks that contain distributed energy resources and employ both alternating current and direct current is a highly complex and challenging task. Such networks are inherently stochastic, partially observable, and suffer from noisy or corrupt data. This paper proposes a fault detection method based on Bayesian inference paradigm and employs its corresponding graphical representation, that is Bayesian Belief Network (BN), to detect faults. The BN takes advantage of causal data produced by a distributed state estimation algorithm and correlational redundant data gathered from various devices to overcome uncertainty in making plausible decisions about the status of the system. simulation results prove the value of the proposed technique in improving the reliability of conventional protection and relaying schemes. © 2020 IEEE.

关键词： Fault detection

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Machine learning algorithms against hacking attack and detection success comparison 2

Machine learning algorithms against hacking attack and detec...

引用

2nd international conference on Smart Power and Internet Energy Systems, SPIES 2020

作者： Yavuz, Levent Soran, Ahmet Onen, Ahmet Muyeen, S.M. Abdullah Gül University Electrical and Computer Engineering Department Kayseri Turkey Curtin University Electrical and Computer Engineering Department Curtin Australia

ISBN: (数字)9781728166117

ISBN: (纸本)9781728166117

Power system protection units has got enormous importance with the growing risk of cyber-attacks. To create sustainable and well protected system, power system data must be healthy. For that purpose, many machine learning applications have been developed and used for bad data detection. However, each method has got different detection and application process. Methods has superiority over other methods. Although, an algorithm can detect some injections easily, same algorithm can be fail when injection type changed. So methods have got different success results when the injection types changed. For that reason, different injection types are applied on power system IEEE 14 bus system via created special hacking algorithm. PSCAD and python linkage has been used for simulation and detection parts. 3 different injection types created and applied on the system and five different most popular algorithms (SVM, k- NN, LDA, NB, LR) tested. Each algorithm's performances are compared and evaluated. © 2020 IEEE.

关键词： Network security

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Heterogeneous mayfly optimization algorithm 2

Heterogeneous mayfly optimization algorithm

引用

2nd international conference on Machine Learning, Big Data and Business Intelligence, MLBDBI 2020

作者： Gao, Zheng-Ming Li, Su-Ruo Zhao, Juan Hu, Yu-Rong Jingchu University of Technology School of Computer Engineering Jingmen China

ISBN: (纸本)9781728196381

It appeared that with more updating ways, the optimization algorithms would perform better in optimization. In this paper, the heterogeneous mayfly optimization (HMO) algorithm was proposed. The individuals in the HMO swarms would have five ways to update their positions. simulation experiments verified that the HMO algorithm would significantly increase the capabilities of the original mayfly optimization (MO) algorithm. © 2020 IEEE.

关键词： Optimization

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Securing vehicular adhoc network against malicious vehicles using advanced clustering technique 2

Securing vehicular adhoc network against malicious vehicles ...

引用

2nd international conference on Data, Engineering and Applications, IDEA 2020

作者： Temurnikar, Ankit Verma, Pushpneel Choudhary, Jaytrilok Bhagwant University Computer Science and Engineering Ajmer Rajasthan India MANIT Bhopal Computer Science and Engineering Bhopal MP India

ISBN: (数字)9781728157184

ISBN: (纸本)9781728157184

VANET is one of most emerging and unique topics among the scientist and researcher. Due to its mobility, high dynamic nature and frequently changing topology not predictable, mobility attracts too much to researchers academic and industry person. In this paper, characteristics of VANET ate discussed along with its architecture, proposed work and its ends simulation with results. There are many nodes in VANET and to avoid the load on every node, clustering is applied in VANET. VANET possess the high dynamic network having continuous changing in the topology. For stability of network, a good clustering algorithm is required for enhancing the network productivity. In proposed work, a novel approach has been proposed to make cluster in VANET network and detect malicious node of network for security network. © 2020 IEEE.

关键词： Topology

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New strategy based on large scale fading coefficients to mitigate the pilot contamination problem in massive MIMO systems 2

New strategy based on large scale fading coefficients to mit...

引用

2nd IEEE international conference on Electronics, Control, Optimization and computer Science, ICECOCS 2020

作者： Belhabib, Abdelfettah Boulouird, Mohamed Hassani, Moha M'Rabet Group Faculty of Sciences Semlalia Marrakesh Morocco I2SP Group Faculty of Sciences Semlalia Cadi Ayyad University Marrakesh Morocco Cadi Ayyad University Marrakesh Morocco

ISBN: (纸本)9781728169217

This paper provides an algorithm that aims to address the problem of Pilot Contamination (PC) within Massive MIMO systems. The algorithm is mainly derived from the asymptotic regime, where Base Stations (BSs) are equipped with a large number of antennas. Regarding the fact that the available pilot resources are limited and many users should be assigned with pilots, the reuse of the same pilots within different cells is essential. Accordingly, the pattern where pilots are reused within different cells is considered herein. Specifically, the large scale fading coefficients (LSFs) are exploited to show that the PC upon users depends on the distance between users that employ the same pilots. Hence, instead of optimizing the manner where pilots are assigned to users, the proposed algorithm assigns pilots to users of different cells based on their LSF coefficients and through the exploitation of a simple matrix arrangement. simulation results show that the problem of PC is widely reduced. © 2020 IEEE.

关键词： MIMO systems

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Estimation of the probability of correct determination of the coordinates of an object in computer modeling of methods for selecting their images 2

Estimation of the probability of correct determination of th...

引用

2nd international Scientific and Practical conference on Mathematical modeling, Programming and Applied Mathematics, ISPCMMPAM 2020

作者： Kornyshev, N.P. Serebrjakov, D.A. Yaroslav-the-Wise Novgorod State University 41 ul. B. St. Petersburgskaya Veliky Novgorod Russia

The article discusses the issues of computer modeling of methods for selecting images of objects. It considers a test video sequence with given background and object parameters. The issues of computer simulation of the formation of such a video sequence, as well as the process of selecting an image of an object and measuring its coordinates are discussed. Examples of test images and graphs of the obtained dependencies of the probability of the correct determination of coordinates depending on the specified parameters of the object and background are given. © Published under licence by IOP Publishing Ltd.

关键词： Video recording

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Fault Detection and Diagnosis of Photovoltaic Systems through I-V Curve Analysis 2

Fault Detection and Diagnosis of Photovoltaic Systems throug...

引用

2nd international conference on Electrical, Communication and computer Engineering, ICECCE 2020

作者： Zbib, Batoul Al Sheikh, Hiba Lebanese University Faculty of Engineering Department of Electrical Engineering Beirut Lebanon Lebanese International University - School of Engineering Department of Electrical and Electronic Engineering Tripoli Lebanon

ISBN: (纸本)9781728171166

This work presents an algorithm to detect and diagnose faults in PhotoVoltaic (PV) systems based on the I-V curve analysis. Three types of faults are investigated: mismatch and shading faults, connectivity faults and short circuit faults. The PV system is modeled using MATLAB/Simulink to simulate the faulty I-V curve behavior for each fault. During each simulation, the I-V curve is examined and compared with that during normal operation (without faults), in order to identify and characterize the anomalies. The different faulty modes affect the I-V characteristics of the PV string in different ways, leaving distinct signatures during its operation. Four attributes are extracted allowing for classification of faults into five classes. For some classes involving more than one fault, further analysis and comparison is carried out to allow discrimination between them. Results show that the proposed technique has good performance in detecting faults even if they are not severe. © 2020 IEEE.

关键词： Fault detection

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