Academic literature on the topic 'Cyberprotection'

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Journal articles on the topic "Cyberprotection"

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Chevardin, V., O. Yurchenko, O. Zaluzhnyi, and Ye Peleshok. "Analysis of adversarial attacks on the machine learning models of cyberprotection systems." Communication, informatization and cybersecurity systems and technologies, no. 4 (December 21, 2023): 100–109. http://dx.doi.org/10.58254/viti.4.2023.09.100.

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Modern trends in the development of cyber protection systems are associated with the widespread use of machine learning technologies to detect and prevent cyber threats. At the same time, attackers are looking for ways to evade detection by such systems, using both traditional attack methods and new ones aimed exclusively at countering artificial intelligence - adversarial attacks. Therefore, finding ways to counteract adversarial attacks is an urgent scientific and technical task. Adversarial Machine Learning (AML) is used to study them, which consists in simulating such attacks. The purpose
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Nespoli, Pantaleone, Daniel Díaz-López, and Félix Gómez Mármol. "Cyberprotection in IoT environments: A dynamic rule-based solution to defend smart devices." Journal of Information Security and Applications 60 (August 2021): 102878. http://dx.doi.org/10.1016/j.jisa.2021.102878.

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Pancorbo Crespo, Jaime, Luis Guerrero Gomez, and Javier Gonzalo Arias. "Autonomous Shipping and Cybersecurity." Ciencia y tecnología de buques 13, no. 25 (2019): 19–26. http://dx.doi.org/10.25043/19098642.185.

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Currently, as a result of new communications technologies, autonomous ships are even closer to our seas than we could think. But, besides un-doubted advantages, it gives rise to uncertainties and challenges in several aspects, which include those related to the fields of cybersecurity and legislation, in relation to international regulations and national laws. The aspects of autonomous shipping are included in the information regulations of Bureau Veritas, and additional specific tags have been created to collect the cybersecurity/cyberprotection aspects of such ships.
 The objective of t
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Moore, Michael Roy, Robert A. Bridges, Frank L. Combs, and Adam L. Anderson. "Data-Driven Extraction of Vehicle States From CAN Bus Traffic for Cyberprotection and Safety." IEEE Consumer Electronics Magazine 8, no. 6 (2019): 104–10. http://dx.doi.org/10.1109/mce.2019.2928577.

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BÉLOT-DE SAINT LEGER, F., P. ARIES, N. PY, P. HUMBERT, and C. DUBOST. "Anesthésie-réanimation militaire à l’ère de l’intelligence artificielle." Revue Médecine et Armées, Volume 51, Numéro 2 (June 13, 2025): 91–104. https://doi.org/10.17184/eac.9360.

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L'intégration de l'intelligence artificielle (IA) dans le domaine médical marque une extension naturelle des biostatistiques, offrant un potentiel significatif pour optimiser la précision des diagnostics, la gestion des traitements et l'efficacité des interventions. Dans cet article, nous explorons les applications actuelles de l'IA, en mettant l'accent sur l'apprentissage automatique et ses dérivés tels que l'apprentissage supervisé, non supervisé, par renforcement profond. Chacune de ces approches est analysée à travers leurs contributions en anesthésie-réanimation militaire : prédiction des
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Дрейс, Юрій, та Леонід Деркач. "БАЗОВА МНОЖИНА УЗАГАЛЬНЕНИХ КРИТЕРІЇВ ВІДНЕСЕННЯ ОБ’ЄКТІВ ДО КРИТИЧНОЇ ІНФРАСТРУКТУРИ ДЕРЖАВИ". Ukrainian Scientific Journal of Information Security 27, № 1 (2021): 13–20. http://dx.doi.org/10.18372/2225-5036.27.15807.

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The lack of registers of critical infrastructure of the state and their information and telecommunication systemsleads to uncertainty in the amount of resources needed to protect them from possible cyberattacks. Given the limitations of© Dreis Y., Derkach L., Basic set of generalized criteria for assigning objects to the critical infrastructure of state // Ukrainian Scientific Journal ofInformation Security, 2021, vol. 27, issue 1, pp. 13-20.20such resources, an important and relevant scientific and practical task is to determine the completeness and priority of cyberprotection of these object
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Muravskyi, Volodymyr, Vasyl Muravskyi, and Oleh Shevchuk. "Classification of stakeholders (users) of accounting information for the enterprise cybersecurity purposes." Herald of Economics, no. 1(99) (February 1, 2021): 83. http://dx.doi.org/10.35774/visnyk2021.01.083.

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Introduction. The intensification of cyberrisks due to global hybrid conflicts, the COVID-19 pandemic, and economic imbalances threatens the accounting system as the main generator of economic information, which requires the organization of an effective system of enterprises cybersecurity. It is necessary to understand cyberthreats impact on the functioning of different types of stakeholders for development of the effective cybersecurity.Purpose. The main purpose is to research and improve the classification of accounting information users for the enterprises cybersecurity and minimize the var
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Volodymyr, Shypovskyi, and Cherneha Volodymyr. "Analysis of modern mechanisms of influence on the mass consciousness in cyberspace and ways to prevent the spreading of destructive information." Political Science and Security Studies Journal 2, no. 2 (2021): 25–33. https://doi.org/10.5281/zenodo.4904603.

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Information and destructive influence on Ukrainian society has become an effective element of the hybrid war, which has long been conducted by special units of the Russian Federation. Under the guise of imaginary intentions to help the Russian-speaking population, Russia is trying to seize economically profitable and strategically profitable territories of Ukraine, actively setting up special-purpose military units without sparing the country's financial resources. The information space (mass media and other Internet-sources) has acquired the status of a separate arena for the aggressive u
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Корченко, Олександр Григорович, Ігор Вадимович Логінов, and Сергій Олександрович Скворцов. "Stationary systems of cyberattacks detection and prevention for cyberprotection and cybercounterintelli-gence (by example USA)." Ukrainian Scientific Journal of Information Security 25, no. 1 (2019). http://dx.doi.org/10.18372/2225-5036.25.13664.

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Dissertations / Theses on the topic "Cyberprotection"

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Shrivastwa, Ritu Ranjan. "Enhancements in Embedded Systems Security using Machine Learning." Electronic Thesis or Diss., Institut polytechnique de Paris, 2023. http://www.theses.fr/2023IPPAT051.

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La liste des appareils connectés (ou IoT) s’allonge avec le temps, de même que leur vulnérabilité face aux attaques ciblées provenant du réseau ou de l’accès physique, communément appelées attaques Cyber Physique (CPS). Alors que les capteurs visant à détecter les attaques, et les techniques d’obscurcissement existent pour contrecarrer et améliorer la sécurité, il est possible de contourner ces contre-mesures avec des équipements et des méthodologies d’attaque sophistiqués, comme le montre la littérature récente. De plus, la conception des systèmes intégrés est soumise aux contraintes de compl
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Book chapters on the topic "Cyberprotection"

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Adusupalli, Balaji. "Securing digital insurance platforms in the era of cyber threats." In Deep Science Publishing. Deep Science Publishing, 2025. https://doi.org/10.70593/978-93-49910-74-4_7.

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Cybercrime is a rapidly growing threat globally. As society increasingly depends on the digital world and technology, there is a great diversity of cybercrime, from stealing credit cards to ransomware. One of the most attractive targets for cybercriminals is financial institutions, including insurance companies, due to the high value of the information they hold, the financial gains their loss may bring, and the interconnected regulatory frameworks that make their impact hard to control. The pandemic has further favored cybercriminals having changed normal work patterns and brought many activi
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Conference papers on the topic "Cyberprotection"

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Azeez, Nureni Ayofe, and Ademolu Oluwatosin. "CyberProtector: Identifying Compromised URLs in Electronic Mails with Bayesian Classification." In 2016 International Conference on Computational Science and Computational Intelligence (CSCI). IEEE, 2016. http://dx.doi.org/10.1109/csci.2016.0184.

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