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Forming the logical conclusion about sufficiency of information of software requirements specification for software quality assessment by ISO 25010:2011 1

Forming the logical conclusion about sufficiency of informat...

引用

1st IEEE Ukraine Conference on Electrical and computer engineering, UKRCON 2017

作者： Hovorushchenko, Tetiana Computer Engineering and System Programming Department Khmelnitsky National University Khmelnitsky Ukraine

ISBN: (纸本)9781509030064

The aim of this study is the development of the method of generating and filling the template of ontology for the quality of the concrete software and method of forming the logical conclusion about the sufficiency of information of software requirements specification (SRS) for software quality assessment (by ISO 25010:2011). The first time proposed method of generating and filling the template of ontology for the quality of the concrete software leaves in the relevant ontology only measures, which are available in the SRS for the concrete software. It provides forming the ontology for the quality of the concrete software. The first time developed method of forming the logical conclusion about the sufficiency of the SRS information for software quality assessment provides the conclusion about the sufficiency or insufficiency of the SRS information for software quality assessment by ISO 25010:2011. If the SRS information is insufficient, this method: provides the conclusion for which characteristics and sub-characteristics the information is insufficient;creates the sorted list of missing measures as the recommended priority of their addition in the SRS;evaluates the veracity of software quality assessment based on the available in the SRS measures. © 2017 IEEE.

关键词： Ontology

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A botnet detection approach based on the clonal selection algorithm 9

A botnet detection approach based on the clonal selection al...

引用

9th IEEE International Conference on Dependable systems, Services and Technologies, DESSERT 2018

作者： Lysenko, Sergii Bobrovnikova, Kira Savenko, Oleg Department of Computer Engineering and System Programming Khmelnitsky National University Instytutska 11 Khmelnitsky Ukraine

ISBN: (纸本)9781538659038

The paper presents a new technique for the botnets' detection in the corporate area networks. It is based on the usage of the algorithms of the artificial immune systems. Proposed approach is able to distinguish benign network traffic from malicious one using the clonal selection algorithm taking into account the features of the botnet's presence in the network. An approach present the main improvements of the BotGRABBER system. It is able to detect the IRC, HTTP, DNS and P2P botnets. © 2018 IEEE.

关键词： Botnet

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DDoS botnet detection technique based on the use of the semi-supervised fuzzy C-means clustering 14

DDoS botnet detection technique based on the use of the semi...

引用

14th International Conference on ICT in Education, Research and Industrial Applications. Integration, Harmonization and Knowledge Transfer. Volume II: Workshops, ICTERI 2018

作者： Lysenko, Sergii Savenko, Oleg Bobrovnikova, Kira Department of Computer Engineering System Programming Khmelnitsky National University Instytutska 11 Khmelnitsky Ukraine

A new technique for the DDoS botnet detection based on the botnets network features analysis is proposed. It uses the semi-supervised fuzzy c-means clustering. The proposed approach includes the learning and the detection stages. Analysis is based on the extracted from the network traffic features that may indicate the presence of the DDoS botnets' presence in the network. Experimental results demonstrated that the proposed technique ensures the DDoS botnet detection at the rate at about 95%. © 2011 Springer-Verlag Berlin Heidelberg.

关键词： Botnet

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Method of Activity of Intelligent Agent for Semantic Analysis of Software Requirements

Method of Activity of Intelligent Agent for Semantic Analysi...

引用

IEEE International Conference on Intelligent Data Acquisition and Advanced Computing systems

作者： Olga Pavlova Tetiana Hovorushchenko Artem Boyarchuk System Programming Department of Khmelnytsky National University Computer Engineering & System Programming Department of Khmelnytsky National University Lecturer of Computer Systems Networks and Cybersecurity Department of National Aerospace University "Kharkiv Aviation Institute"

ISBN: (纸本)9781728140704

The paper deals with the development of the method of activity and the realization of the intelligent agent (IA) for semantic analysis of the natural language software requirements. This IA performs the analysis of the requirements, determines the number and percentage of missing indicators for determining the metrics of complexity and quality of software, displays which indicators are missing for each metric, and also forms the real ontology of the domain "Software engineering" (part "Quality and complexity of software. Metric analysis"). During an experiment, which is conducted with the help of the realized IA, the semantic analysis of requirements for the Internet of Things (IoT)-system was performed. Such analysis provides an increase of the volume and ensures of the sufficiency of metric information in the software requirements, which, in turn, provides an improvement in the quality of the software of IoT-system.

关键词： Natural language software requirements Semantic analysis Intelligent agent (IA) Ontology-based intelligent agent (OBIA) Internet of things (IoT)-system software requirements Intelligent agents Semantics Metronidazole activity INFORMATION ASSURANCE Metric computer software

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Intelligent Agent for Support of Decision Making on Civil Law Regulation of Contract for the Provision of in Vitro Fertilization 15

Intelligent Agent for Support of Decision Making on Civil La...

引用

15th IEEE International Scientific and Technical Conference on computer Sciences and Information Technologies, CSIT 2020

作者： Hovorushchenko, Tetiana Herts, Alla Hnatchuk, Yelyzaveta Computer Engineering and System Programming Department Khmelnytskyi Ukraine Ivan Franko National University of Lviv Civil Law and Legal Proceedings Department Lviv Ukraine

ISBN: (纸本)9781728174433

Nowadays in Ukraine, there is a need for automation and removal of human from the processes of decision making on civil law regulation of contract for the provision of in vitro fertilization, which can significantly increase the correctness of the concluded contract in terms of civil law and medical law. So, the purpose of this study is the development of an intelligent agent for support of decision making on civil law regulation of contract for the provision of in vitro fertilization. The method of activity of intelligent agent for support of decision making on civil law regulation of contract for the provision of in vitro fertilization was first developed in this paper, which concludes that the content of the contract for the provision of in vitro fertilization is correct or incorrect, as well as a recommendation to conclude a contract (if its content is correct) or to revise the contract (if its content is incorrect). © 2020 IEEE.

关键词： Decision making

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Simulation Model of Data Consistency Protocol for Multicloud systems 3

Simulation Model of Data Consistency Protocol for Multicloud...

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3rd IEEE KhPI Week on Advanced Technology, KhPI Week 2022

作者： Kozina, Olha Kozin, Mykyta National Technical University 'Kharkiv Polytechnic Institute' Department of Computer Engineering and Programming Kharkiv Ukraine Kharkiv Nation University of Radio Electronics Department of Information Control System Kharkiv Ukraine

ISBN: (数字)9798350399202

ISBN: (纸本)9798350399202

The development of multi-cloud systems with an acceptable level of service delays that significantly affect the quality of the end-users experience is an open research problem, for which simulation is successfully used. This paper proposes a simulation model in Matlab for estimating the time to write data updates initiated by the end-users to the databases of all cloud service providers for a multi-cloud system with a geo-distributed middleware that implements, as an example, the VIP-grab data consistency protocol. The simulation results indicate that our model can be useful in choosing a data consistency protocol that influences the architecture of a multicloud system. © 2022 IEEE.

关键词： MATLAB

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Social engineering Attacks Detection Approach 13

Social Engineering Attacks Detection Approach

引用

13th International Conference on Dependable systems, Services and Technologies, DESSERT 2023

作者： Lysenko, Sergii Vorobiov, Volodymyr Bokhonko, Oleksandr Gaj, Piotr Savenko, Oleg Woloszyn, Jacek Khmelnitsky National University Department of Computer Engineering and Information Systems Khmelnitsky Ukraine Silesian University of Technology Gliwice Poland Khmelnitsky National University Department of Computer Engineering and System Programming Khmelnitsky Ukraine Kazimierz Pulaski University of Technology and Humanities in Radom Department of Informatics and Teleinformatics Radom Poland

ISBN: (纸本)9798350396119

The paper focuses on the problem of technical social engineering attacks that encompass the manipulation of individuals to reveal sensitive information, execute actions, or breach security systems. These exploits frequently capitalize on human psychology, trust, and a lack of vigilance to attain unauthorized entry to networks, systems, or data. In contrast to traditional social engineering tactics that center on psychological manipulation, technical social engineering attacks employ technological means and strategies to manipulate and beguile individuals. The paper presents an attempt to detect social engineering attacks. The approach utilized four machine learning algorithms (decision tree, random forest, K-nearest neighbor, and extreme gradient boosting). The analysis is centered on data collected from network hosts, which may serve as indicators of a potential social engineering attack. The empirical results demonstrated high detection accuracy. © 2023 IEEE.

关键词： Cybersecurity

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Distributed system for Detecting the Malware in LAN

Distributed System for Detecting the Malware in LAN

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International Scientific and Technical Conference on computer Science and Information Technologies

作者： George Markowsky Oleg Savenko Anatoliy Sachenko Department of Computer Science Missouri University of Science and Technology Rolla USA Department of Computer Engineering and System Programming Khmelnytsky National University Khmelnytsky Ukraine Department of Informatics Kazimierz Pulaski University of Technology and Humanities in Radom Radom Poland

The paper proposes the architecture of distributed multilevel detection system of malicious software in local area networks. Its feature is the synthesis of its requirements of distribution, decentralization, multilevel. This allows you to use it autonomously. In addition, the feature of autonomous program modules of the system is the same organization, which allows the exchange of knowledge in the middle of the system, which, unlike the known systems, allows you to use the knowledge gained by separate parts of the system in other parts. The developed system allows to fill it with subsystems of detection of various types of malicious software in local area networks.

关键词： Architecture Distributed system Malware Local area networks

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Forming the logical conclusion about sufficiency of information of software requirements specification for software quality assessment by ISO 25010:2011

Forming the logical conclusion about sufficiency of informat...

引用

IEEE Ukraine Conference on Electrical and computer engineering (UKRCON)

作者： Tetiana Hovorushchenko Computer Engineering & System Programming Department Khmelnitsky National University Khmelnitsky Ukraine

The aim of this study is the development of the method of generating and filling the template of ontology for the quality of the concrete software and method of forming the logical conclusion about the sufficiency of information of software requirements specification (SRS) for software quality assessment (by ISO 25010:2011). The first time proposed method of generating and filling the template of ontology for the quality of the concrete software leaves in the relevant ontology only measures, which are available in the SRS for the concrete software. It provides forming the ontology for the quality of the concrete software. The first time developed method of forming the logical conclusion about the sufficiency of the SRS information for software quality assessment provides the conclusion about the sufficiency or insufficiency of the SRS information for software quality assessment by ISO 25010:2011. If the SRS information is insufficient, this method: provides the conclusion for which characteristics and sub-characteristics the information is insufficient; creates the sorted list of missing measures as the recommended priority of their addition in the SRS; evaluates the veracity of software quality assessment based on the available in the SRS measures.

关键词： Software quality Ontologies Software measurement Concrete ISO Standards

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A Cyberattacks Detection Technique Based on Evolutionary Algorithms

A Cyberattacks Detection Technique Based on Evolutionary Alg...

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IEEE International Conference on Dependable systems, Services and Technologies (DESSERT)

作者： Sergii Lysenko Kira Bobrovnikova Roman Shchuka Oleg Savenko Department of Computer Engineering and System Programming Khmelnitsky National University Khmelnitsky Ukraine

ISBN: (数字)9781728199573

ISBN: (纸本)9781728199580

An article presents an approach for cyberattack detection based on genetic algorithms is presented. The method allows detecting both known and unknown cyberattacks. The method has the heuristic nature and is based on the collected data about the cyberattacks. It makes it possible to give an answer about the cyberattacks' existence in the computer networks and its hosts. Developed attack detection approach consists of training and detection stages. The mechanism of attack detection system is based on the cyberattacks' features gathering from network or hosts, extracting the subset of acquired set and generation the attacks' detection rules. Genetic algorithms are used for the minimization of the feature set, which allows effective using of the system resources for attacks detection. In order to detect the attacks, the proposed technique involves the rule generation. The attacks' features are described by the set of sub-rules. It is suggested to use the feature with the smallest domain for generating the minimal set for rules. It is possible to select the optimal feature after all selected features which were discovered while applying the genetic algorithm. The sub-rule set is used with the aim to reduce false positive rate.

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