Oleg Illiashenko

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Senior Lecturer in Cyber Security and Forensics

Leeds Beckett University

United Kingdom

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About

Oleg Illiashenko is a Senior Lecturer in Cyber Security and Forensics at Leeds Beckett University, UK. His research focuses on advanced topics in cybersecurity, including neural networks for deepfake classification, cybersecurity for FPGA services, and the reliability of UAV and IoT systems. Prof. Illiashenko has published extensively on innovative methods for ensuring secure communications in complex environments and the assessment of cybersecurity risks in autonomous transport systems.

Recent Grants

Grant: Open

An Integrated Cyber Security Risk & Resilience Management Platform, With Holistic Situational Awareness, Incident Response & Preparedness Capabilities

Open Date: 2023-11-01

Close Date: 2026-10-31

Grant: Close

European network of Cybersecurity centres and competence Hub for innovation and Operations

Open Date: 2019-02-01

Close Date: 2023-02-28

Grant: Close

"Integrating the National Aerospace University ""KhAI"" into ERA"

Open Date: 2011-12-01

Close Date: 2015-05-31

Articles (10)

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2025

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2024

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2024

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2024

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2024

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2023

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2023

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2022

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2022

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2022

Collaborators (1)

Lukasz Scislo

Assistant Professor

Cracow University of Technology

POLAND

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Oleg Illiashenko

Research Interests

Explore related searches

Contact this professor

About

Recent Grants

Articles (10)

Neural Network Ensemble Method for Deepfake Classification Using Golden Frame Selection

Methods and Software Tools for Reliable Operation of Flying LiFi Networks in Destruction Conditions

Ensuring cybersecurity of FPGA as a service with the use of penetration testing of components

Deployment of a UAV swarm-based LiFi network in the obstacle-ridden environment: algorithms of finding the path for UAV placement

SYNAPSE - An Integrated Cybersecurity Risk & Resilience Management Platform, With Holistic Situational Awareness, Incident Response & Preparedness Capabilities

Security-Informed Safety Analysis of Autonomous Transport Systems Considering AI-Powered Cyberattacks and Protection

Flying Sensor and Edge Network-Based Advanced Air Mobility Systems: Reliability Analysis and Applications for Urban Monitoring

UAV Fleet as a Dependable Service for Smart Cities: Model-Based Assessment and Application

Combining Markov and Semi-Markov Modelling for Assessing Availability and Cybersecurity of Cloud and IoT Systems

UAV and IoT-Based Systems for the Monitoring of Industrial Facilities Using Digital Twins: Methodology, Reliability Models, and Application

Collaborators (1)

Lukasz Scislo

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