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Muhammad Shahbaz Khan

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Lecturer

Aston University

United Kingdom

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Recent Grants

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Intelligent Traffic Monitoring System via Deep Learning

Open Date: 2019-01-01

Close Date: 2020-01-01

Grant: Close

Scotland–England Collaboration on Developing Human Resource in Quantum Technologies in Healthcare and Promoting Public Trust in Digital Health

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Articles (20)

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Collaborators (11)

Mohammed S. Alshehri

SAUDI ARABIA

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Djamel Djenouri

UWE, Bristol

UNITED KINGDOM

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Ahmed Al-Dubai

Professor and Head of the IoT and Networks Research Group

Edinburgh Napier University - Merchiston Campus

UNITED KINGDOM

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Muhammad Khurram Khan

king saud university

SAUDI ARABIA

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William Buchanan

Professor

Edinburgh Napier University

UNITED KINGDOM

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Rahmat Ullah

Lecturer

University of South Wales

UNITED KINGDOM

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Imdad Ullah Khan

Associate Professor

Lahore University of Management Sciences

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Jawad Ahmad

Assistant Professor

Edinburgh Napier University

UNITED KINGDOM

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Faisal Saeed

Associate Professor

Birmingham City University

UNITED KINGDOM

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Muhammad Imran Qureshi

Associate Professor

King Fahd University of Petroleum and Minerals

SAUDI ARABIA

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Baraq Ghaleb

Associate Professor

Edinburgh Napier University

UNITED KINGDOM

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Muhammad Shahbaz Khan

Research Interests

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Recent Grants

Articles (20)

Defining Quantum Agents: Formal Foundations, Architectures, and NISQ-Era Prototypes

Lightweight Authentication Protocols for Secure IoT Communication Networks: A Comprehensive Survey, Taxonomy, and Open Challenges

Toward practical migration to post-quantum SSH: system-level design and evaluation

QiSTH: Quantum‐Inspired Secure Multispectral Transformer Networks For Remote Sensing Data Harmonization

Privacy–preserving dementia classification from EEG via hybrid–fusion EEGNetv4 and federated learning

An explainable and efficient deep learning framework for EEG-based diagnosis of Alzheimer's disease and frontotemporal dementia

Construction of a Novel S-Box Based on a Compound Hénon–Baker Map

An interpretable deep learning framework for intrusion detection in industrial Internet of Things

TrustShare: Secure and Trusted Blockchain Framework for Threat Intelligence Sharing

Few-Shot Learning for IoT Intrusion Detection: An Attention-Based Siamese Network Approach

OculusNet: Detection of retinal diseases using a tailored web-deployed neural network and saliency maps for explainable AI

A Novel Feature-Aware Chaotic Image Encryption Scheme For Data Security and Privacy in IoT and Edge Networks

Resilience without AI: Assessing the Viability of Deception-Based Ransomware Detection

A novel transformer-based explainable AI approach using SHAP for intrusion detection in vehicular ad hoc networks

Quantum Image Encryption with Reduced Gate Complexity for Gate-Efficient Encryption Pipelines in IoT Networks

Optimizing Fire Safety: Reducing False Alarms Using Advanced Machine Learning Techniques

X-Cross: Image Encryption Featuring Novel Dual-Layer Block Permutation and Dynamic Substitution Techniques

A Chaotic Image Encryption Scheme Using Novel Geometric Block Permutation and Dynamic Substitution

Performance Evaluation of Threshold Signing Schemes in Cryptography

RNA-TransCrypt: Image encryption using chaotic RNA encoding, novel transformative substitution, and tailored cryptographic operations

Collaborators (11)

Mohammed S. Alshehri

Djamel Djenouri

Ahmed Al-Dubai

Muhammad Khurram Khan

William Buchanan

Rahmat Ullah

Imdad Ullah Khan

Jawad Ahmad

Faisal Saeed

Muhammad Imran Qureshi

Baraq Ghaleb

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