INTELLIGENT CYBER DEFENCE SYSTEMS: DETECTION OF RANSOMWARE AND PROTECTION OF WIRELESS NETWORKS BASED ON ARTIFICIAL INTELLIGENCE TECHNOLOGIES
The monograph is devoted to a comprehensive study of two critical areas of cybersecurity: countering ransomware and protecting IEEE 802.11 wireless networks. The work combines theoretical research and practical solutions for creating effective information security systems. The first part of the m...
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| フォーマット: | Online |
| 言語: | 英語 |
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PC TECHNOLOGY CENTER
2025
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| オンライン･アクセス: | https://directory.doabooks.org/handle/20.500.12854/162805.2 |
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| author | Harasymchuk, Oleh Opirskyy, Ivan Banakh, Roman Zhuravchak, Danyil Partyka, Olha Nyemkova, Elena Vasylyshyn, Sviatoslav Partyka, Andrii Nakonechnyy, Yuriy Lukovskyy, Taras Susukailo, Vitalii Otenko, Viktor Tyshyk, Ivan Dzianyi, Nazarii Sabodashko, Dmytro Haraniuk, Petro Dudykevych, Valerii Semenyuk, Serhiy Stakhiv, Marta Zhuravel, Ihor Kret, Taras Mychuda, Lesya Mychuda, Zynoviy Polotai, Orest Kurii, Yevhenii Nakonechna, Nataliya Luzhetska, Nataliya Obshta, Anatoliy Korobeinikova, Tetiana |
| author_browse | Banakh, Roman Dudykevych, Valerii Dzianyi, Nazarii Haraniuk, Petro Harasymchuk, Oleh Korobeinikova, Tetiana Kret, Taras Kurii, Yevhenii Lukovskyy, Taras Luzhetska, Nataliya Mychuda, Lesya Mychuda, Zynoviy Nakonechna, Nataliya Nakonechnyy, Yuriy Nyemkova, Elena Obshta, Anatoliy Opirskyy, Ivan Otenko, Viktor Partyka, Andrii Partyka, Olha Polotai, Orest Sabodashko, Dmytro Semenyuk, Serhiy Stakhiv, Marta Susukailo, Vitalii Tyshyk, Ivan Vasylyshyn, Sviatoslav Zhuravchak, Danyil Zhuravel, Ihor |
| author_facet | Harasymchuk, Oleh Opirskyy, Ivan Banakh, Roman Zhuravchak, Danyil Partyka, Olha Nyemkova, Elena Vasylyshyn, Sviatoslav Partyka, Andrii Nakonechnyy, Yuriy Lukovskyy, Taras Susukailo, Vitalii Otenko, Viktor Tyshyk, Ivan Dzianyi, Nazarii Sabodashko, Dmytro Haraniuk, Petro Dudykevych, Valerii Semenyuk, Serhiy Stakhiv, Marta Zhuravel, Ihor Kret, Taras Mychuda, Lesya Mychuda, Zynoviy Polotai, Orest Kurii, Yevhenii Nakonechna, Nataliya Luzhetska, Nataliya Obshta, Anatoliy Korobeinikova, Tetiana |
| author_sort | Harasymchuk, Oleh |
| collection | Directory of Open Access Books |
| description | The monograph is devoted to a comprehensive study of two critical areas of cybersecurity: countering ransomware and protecting IEEE 802.11 wireless networks. The work combines theoretical research and practical solutions for creating effective information security systems.
The first part of the monograph explores methods for detecting and countering ransomware viruses in real time using eBPF technology and machine learning models. An innovative model of an integrated data collection system is presented, combining monitoring of system calls, file and cryptographic activity with network traffic analysis. A comprehensive classification model based on an ensemble of decision trees and random forests is proposed, demonstrating malware detection accuracy above 95%. A methodology for applying deep neural networks to identify complex ransomware behaviour patterns has been developed, providing 97.8% identification accuracy.
The second part of the work is devoted to the development of innovative approaches to protecting wireless Wi-Fi networks. A conceptual model of the Wireless Honeypot as a Service information protection system using cloud computing is presented, which provides improved speed and deployment flexibility. A unique method for tracking attackers based on metadata with 90–100% geolocation accuracy has been developed. A diagnostic model of a decoy system has been proposed, which allows configurations to be automatically generated according to the attacker's profile. A method for detecting intrusions based on the K-nearest neighbours algorithm has been presented, which provides 100% accuracy in detecting ‘evil twin’ attacks.
The practical value of the monograph lies in the possibility of directly implementing the developed methods and tools in cybersecurity systems. The research results can be used to protect both corporate and private networks. The proposed solutions significantly increase the level of protection against modern cyber threats, including ransomware and attacks on wireless networks.
The monograph will be useful for cybersecurity specialists, system administrators, software developers, researchers, teachers, and students of relevant specialities. The materials of the work are also of interest to managers of organisations and specialists responsible for the information security of enterprises of various forms of ownership. |
| format | Online |
| id | doab-20.500.12854ir-162805.2 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | PC TECHNOLOGY CENTER |
| publisherStr | PC TECHNOLOGY CENTER |
| record_format | ojs |
| spelling | doab-20.500.12854ir-162805.22025-08-29T09:59:36Z INTELLIGENT CYBER DEFENCE SYSTEMS: DETECTION OF RANSOMWARE AND PROTECTION OF WIRELESS NETWORKS BASED ON ARTIFICIAL INTELLIGENCE TECHNOLOGIES Harasymchuk, Oleh Opirskyy, Ivan Banakh, Roman Zhuravchak, Danyil Partyka, Olha Nyemkova, Elena Vasylyshyn, Sviatoslav Partyka, Andrii Nakonechnyy, Yuriy Lukovskyy, Taras Susukailo, Vitalii Otenko, Viktor Tyshyk, Ivan Dzianyi, Nazarii Sabodashko, Dmytro Haraniuk, Petro Dudykevych, Valerii Semenyuk, Serhiy Stakhiv, Marta Zhuravel, Ihor Kret, Taras Mychuda, Lesya Mychuda, Zynoviy Polotai, Orest Kurii, Yevhenii Nakonechna, Nataliya Luzhetska, Nataliya Obshta, Anatoliy Korobeinikova, Tetiana Harasymchuk, Oleh Cybersecurity ransomware eBPF artificial intelligence machine learning deep neural networks wireless networks IEEE 802.11 ireless Honeypot as a Service K-nearest neighbors (KNN) cryptographic ransomware real-time cloud computing metadata geolocation information protection system call monitoring malware classification evil twin attack honeypot thema EDItEUR::U Computing and Information Technology The monograph is devoted to a comprehensive study of two critical areas of cybersecurity: countering ransomware and protecting IEEE 802.11 wireless networks. The work combines theoretical research and practical solutions for creating effective information security systems. The first part of the monograph explores methods for detecting and countering ransomware viruses in real time using eBPF technology and machine learning models. An innovative model of an integrated data collection system is presented, combining monitoring of system calls, file and cryptographic activity with network traffic analysis. A comprehensive classification model based on an ensemble of decision trees and random forests is proposed, demonstrating malware detection accuracy above 95%. A methodology for applying deep neural networks to identify complex ransomware behaviour patterns has been developed, providing 97.8% identification accuracy. The second part of the work is devoted to the development of innovative approaches to protecting wireless Wi-Fi networks. A conceptual model of the Wireless Honeypot as a Service information protection system using cloud computing is presented, which provides improved speed and deployment flexibility. A unique method for tracking attackers based on metadata with 90–100% geolocation accuracy has been developed. A diagnostic model of a decoy system has been proposed, which allows configurations to be automatically generated according to the attacker's profile. A method for detecting intrusions based on the K-nearest neighbours algorithm has been presented, which provides 100% accuracy in detecting ‘evil twin’ attacks. The practical value of the monograph lies in the possibility of directly implementing the developed methods and tools in cybersecurity systems. The research results can be used to protect both corporate and private networks. The proposed solutions significantly increase the level of protection against modern cyber threats, including ransomware and attacks on wireless networks. The monograph will be useful for cybersecurity specialists, system administrators, software developers, researchers, teachers, and students of relevant specialities. The materials of the work are also of interest to managers of organisations and specialists responsible for the information security of enterprises of various forms of ownership. Published 2025-08-29T09:59:33Z 2025-07-15T13:31:04Z 2025-08-29T09:59:33Z 2025-06-30 book 978-617-8360-22-1 https://directory.doabooks.org/handle/20.500.12854/162805.2 eng image/jpeg Attribution-NonCommercial-NoDerivatives 4.0 International https://monograph.com.ua/catalog/book/978-617-8360-22-1 PC TECHNOLOGY CENTER 10.15587/978-617-8360-22-1 10.15587/978-617-8360-22-1 105e2329-8f11-44ef-beca-adf5b71eb8f4 978-617-8360-22-1 132 Kharkiv. Ukraine open access |
| spellingShingle | Cybersecurity ransomware eBPF artificial intelligence machine learning deep neural networks wireless networks IEEE 802.11 ireless Honeypot as a Service K-nearest neighbors (KNN) cryptographic ransomware real-time cloud computing metadata geolocation information protection system call monitoring malware classification evil twin attack honeypot thema EDItEUR::U Computing and Information Technology Harasymchuk, Oleh Opirskyy, Ivan Banakh, Roman Zhuravchak, Danyil Partyka, Olha Nyemkova, Elena Vasylyshyn, Sviatoslav Partyka, Andrii Nakonechnyy, Yuriy Lukovskyy, Taras Susukailo, Vitalii Otenko, Viktor Tyshyk, Ivan Dzianyi, Nazarii Sabodashko, Dmytro Haraniuk, Petro Dudykevych, Valerii Semenyuk, Serhiy Stakhiv, Marta Zhuravel, Ihor Kret, Taras Mychuda, Lesya Mychuda, Zynoviy Polotai, Orest Kurii, Yevhenii Nakonechna, Nataliya Luzhetska, Nataliya Obshta, Anatoliy Korobeinikova, Tetiana INTELLIGENT CYBER DEFENCE SYSTEMS: DETECTION OF RANSOMWARE AND PROTECTION OF WIRELESS NETWORKS BASED ON ARTIFICIAL INTELLIGENCE TECHNOLOGIES |
| title | INTELLIGENT CYBER DEFENCE SYSTEMS: DETECTION OF RANSOMWARE AND PROTECTION OF WIRELESS NETWORKS BASED ON ARTIFICIAL INTELLIGENCE TECHNOLOGIES |
| title_full | INTELLIGENT CYBER DEFENCE SYSTEMS: DETECTION OF RANSOMWARE AND PROTECTION OF WIRELESS NETWORKS BASED ON ARTIFICIAL INTELLIGENCE TECHNOLOGIES |
| title_fullStr | INTELLIGENT CYBER DEFENCE SYSTEMS: DETECTION OF RANSOMWARE AND PROTECTION OF WIRELESS NETWORKS BASED ON ARTIFICIAL INTELLIGENCE TECHNOLOGIES |
| title_full_unstemmed | INTELLIGENT CYBER DEFENCE SYSTEMS: DETECTION OF RANSOMWARE AND PROTECTION OF WIRELESS NETWORKS BASED ON ARTIFICIAL INTELLIGENCE TECHNOLOGIES |
| title_short | INTELLIGENT CYBER DEFENCE SYSTEMS: DETECTION OF RANSOMWARE AND PROTECTION OF WIRELESS NETWORKS BASED ON ARTIFICIAL INTELLIGENCE TECHNOLOGIES |
| title_sort | intelligent cyber defence systems detection of ransomware and protection of wireless networks based on artificial intelligence technologies |
| topic | Cybersecurity ransomware eBPF artificial intelligence machine learning deep neural networks wireless networks IEEE 802.11 ireless Honeypot as a Service K-nearest neighbors (KNN) cryptographic ransomware real-time cloud computing metadata geolocation information protection system call monitoring malware classification evil twin attack honeypot thema EDItEUR::U Computing and Information Technology |
| topic_facet | Cybersecurity ransomware eBPF artificial intelligence machine learning deep neural networks wireless networks IEEE 802.11 ireless Honeypot as a Service K-nearest neighbors (KNN) cryptographic ransomware real-time cloud computing metadata geolocation information protection system call monitoring malware classification evil twin attack honeypot thema EDItEUR::U Computing and Information Technology |
| url | https://directory.doabooks.org/handle/20.500.12854/162805.2 |
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