Stavros Shiaeles

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Academic, Professor, Associate Professor in Cybersecurity

University of Portsmouth

United Kingdom

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About

Stavros Shiaeles is an Associate Professor in Cybersecurity at the University of Portsmouth, UK. His research focuses on various aspects of cybersecurity, including AI-generated synthetic images, deep learning applications in financial predictions, and the detection of cybersecurity threats in evolving digital environments. Recent publications highlight his contributions to understanding ransomware behavior, deepfake technologies, and cloud security frameworks.

Recent Grants

Grant: Close

FORESIGHT - Advanced cyber-security simulation platform for preparedness training in Aviation, Naval and Power-grid environments

Open Date: 2019-09-01

Close Date: 2022-08-01

Grant: Close

C.R.A.B - Cybersecurity Risk Assessment Box

Open Date: 2019-04-01

Close Date: 2019-07-01

Grant: Close

CYBER-TRUST - Advanced Cyber-Threat Intelligence, Detection, and Mitigation Platform for a Trusted Internet of Things

Open Date: 2018-05-01

Close Date: 2021-05-01

Articles (17)

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2025

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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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2023

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2022

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2022

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2022

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2021

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2021

Collaborators (8)

Basil Papadopoulos

Professor

Democritus University of Thrace School of Engineering

GREECE

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Nicholas Kolokotronis

Associate Professor

UNIVERSITY OF PELOPONNESE

GREECE

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Konstantinos Limniotis

CYPRUS

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Stavros Karamperidis

Lecturer in Maritime Economics

University of Plymouth

UNITED KINGDOM

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Mohamed Aymen Labiod

Université Paris-Est Créteil Val de Marne

FRANCE

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Mani Ghahremani

Academic, Lecturer, Lecturer

University of Portsmouth

UNITED KINGDOM

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Frederick Sheldon

Professor and former chair

University of Idaho

UNITED STATES

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Fudong Li

Bournemouth University

UNITED KINGDOM

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Stavros Shiaeles

Research Interests

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About

Recent Grants

Articles (17)

A Wide and Weighted Deep Ensemble Model for Behavioral Drifting Ransomware Attacks

DeepGuard: identification and attribution of AI-generated synthetic images

Enhancing Bitcoin price prediction with deep learning: integrating social media sentiment and historical data

Deepfakes in digital media forensics: generation, AI-based detection and challenges

Bi-layer deep learning with neural networks and large language models for cognitive biometrics

Multi-scale convolutional auto encoder for anomaly detection in 6G environment

EEGDepressionNet

A Study of Ethereum’s Transition from Proof-of-Work to Proof-of-Stake in Preventing Smart Contracts Criminal Activities

Autonomous Vehicles Security: Challenges and Solutions Using Blockchain and Artificial Intelligence

An Analysis of Cloud Security Frameworks, Problems and Proposed Solutions

Image-Based Malware Detection Using <i>α</i>-Cuts and Binary Visualisation

A comparative analysis of feature eliminator methods to improve machine learning phishing detection

Privacy issues in Android applications

Cybersecurity Challenges in the Maritime Sector

SAGMAD—A Signature Agnostic Malware Detection System Based on Binary Visualisation and Fuzzy Sets

On the suitability of blockchain platforms for IoT applications: Architectures, security, privacy, and performance

Linear regression trust management system for IoT systems

Collaborators (8)

Basil Papadopoulos

Nicholas Kolokotronis

Konstantinos Limniotis

Stavros Karamperidis

Mohamed Aymen Labiod

Mani Ghahremani

Frederick Sheldon

Fudong Li

Make your next move.

Stavros Shiaeles

Research Interests

Explore related searches

Contact this professor

About

Recent Grants

Articles (17)

A Wide and Weighted Deep Ensemble Model for Behavioral Drifting Ransomware Attacks

DeepGuard: identification and attribution of AI-generated synthetic images

Enhancing Bitcoin price prediction with deep learning: integrating social media sentiment and historical data

Deepfakes in digital media forensics: generation, AI-based detection and challenges

Bi-layer deep learning with neural networks and large language models for cognitive biometrics

Multi-scale convolutional auto encoder for anomaly detection in 6G environment

EEGDepressionNet

A Study of Ethereum’s Transition from Proof-of-Work to Proof-of-Stake in Preventing Smart Contracts Criminal Activities

Autonomous Vehicles Security: Challenges and Solutions Using Blockchain and Artificial Intelligence

An Analysis of Cloud Security Frameworks, Problems and Proposed Solutions

Image-Based Malware Detection Using <i>α</i>-Cuts and Binary Visualisation

A comparative analysis of feature eliminator methods to improve machine learning phishing detection

Privacy issues in Android applications

Cybersecurity Challenges in the Maritime Sector

SAGMAD&mdash;A Signature Agnostic Malware Detection System Based on Binary Visualisation and Fuzzy Sets

On the suitability of blockchain platforms for IoT applications: Architectures, security, privacy, and performance

Linear regression trust management system for IoT systems

Collaborators (8)

Basil Papadopoulos

Nicholas Kolokotronis

Konstantinos Limniotis

Stavros Karamperidis

Mohamed Aymen Labiod

Mani Ghahremani

Frederick Sheldon

Fudong Li

Make your next move.

SAGMAD—A Signature Agnostic Malware Detection System Based on Binary Visualisation and Fuzzy Sets