Detecting Deepfake Modifications of Biometric Images using Neural Networks

Dudykevych, V та Yevseiev, S та Mykytyn, H та Ruda, K та Hulak, Hennadii (2024) Detecting Deepfake Modifications of Biometric Images using Neural Networks Cybersecurity Providing in Information and Telecommunication Systems 2024, 3654. с. 391-397. ISSN 1613-0073

Текст V_Dudykevych_S_Yevseiev_H_Mykytyn_K_Ruda_H_Hulak_CPITS_3654_2024.pdf Download (642kB)

Анотація

The National Cybersecurity Cluster of Ukraine is functionally oriented towards building systems for the protection of various platforms within the information infrastructure, including the development of secure technologies for detecting deepfake modifications of biometric images based on neural networks in cyberspace. The paper introduces an instrumental platform for detecting deepfake modifications of biometric images and an analytical security structure of neural network Information Technologies (IT) based on a multi-level model of “resources—systems—processes—networks—management” according to the “object—threat—protection” concept. The instrumental platform integrates information neural network technology and decision support information technology, employing a modular architecture of the neural network detection system for deepfake modifications in the “preprocessing data—feature processing—classifier training” space. The core of the IT security structure is the integrity of the functioning of the neural network system for detecting deepfake modifications of human facial biometric images and data analysis systems that implement the information process of “splitting a video file into frames—detection, feature processing—classifier accuracy assessment”. The security of the multi-level model of neural network IT is based on systemic and synergistic approaches, enabling the construction of a comprehensive IT security system, considering the emergent property in the presence of potential targeted threats and the application of advanced technologies at the hardware and software levels. The proposed comprehensive security system for the information process of detecting deepfake modifications of biometric images covers hardware and software means by segments: automated classifier accuracy assessment; real-time detection of deepfake modifications; sequential image processing; accuracy evaluation of classification using cloud computing.

Тип елементу :	Стаття
Ключові слова:	Intellectualization; cybersecurity; biometric image; deepfake; information technology; neural networks; detection system; instrumental platform; analytical security structure; comprehensive security system
Типологія:	Статті у базах даних > Scopus
Підрозділи:	Факультет інформаційних технологій та математики > Кафедра інформаційної та кібернетичної безпеки ім. професора Володимира Бурячка
Користувач, що депонує:	Павло Миколайович Складанний
Дата внесення:	08 Квіт 2024 10:32
Останні зміни:	08 Квіт 2024 10:32
URI:	https://elibrary.kubg.edu.ua/id/eprint/48581

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