Adnan Akhunzada

Lecturer/Assistant Professor

Coventry University

United Kingdom

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Adnan Akhunzada is a Lecturer/Assistant Professor at Coventry University, located in the United Kingdom. His research interests encompass a range of areas including cyber security, artificial intelligence, and machine learning applications in health and industry. Recent publications highlight his contributions to topics such as threat intelligence frameworks for Industrial IoT, phishing detection models, and advanced techniques in medical imaging.

Adnan Akhunzada

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Articles (25)

An Improvised Certificate-Based Proxy Signature Using Hyperelliptic Curve Cryptography for Secure UAV Communications

Advanced Quantum Control With Ensemble Reinforcement Learning: A Case Study on the XY Spin Chain

A 5G network based conceptual framework for real-time malaria parasite detection from thick and thin blood smear slides using modified YOLOv5 model

Generative AI: a double-edged sword in the cyber threat landscape

Hybrid deep learning based threat intelligence framework for Industrial IoT systems

DWSD: Dense waste segmentation dataset

Challenges in detecting security threats in WoT: a systematic literature review

Context aware machine learning techniques for brain tumor classification and detection – A review

Convolutional Attention Based Mechanism for Facial Microexpression Recognition

Design and performance of an AI-enabled threat intelligence framework for IoT-enabled autonomous vehicles

Towards assessing reliability of next‐generation Internet of Things dashboard for anxiety risk classification

Across the Spectrum In-Depth Review AI-Based Models for Phishing Detection

LPN-IDD: A Lightweight Pyramid Network for Image Deraining and Detection

Online Recruitment Fraud (ORF) Detection Using Deep Learning Approaches

Deep Learning-Based Classification of Chest Diseases Using X-rays, CT Scans, and Cough Sound Images

A Comprehensive Analysis of Security-Based Schemes in Underwater Wireless Sensor Networks

The Integration of WoT and Edge Computing: Issues and Challenges

Analyzing the Impact of Active Attack on the Performance of the AMCTD Protocol in Underwater Wireless Sensor Networks

Toward Performance and Energy-Efficient Edge-of-Things

An Empirical Study to Investigate the Impact of Factors Influencing Knowledge Sharing in Virtual Teams

Comprehensive Evaluation of Publication and Citation Metrics for Quantifying Scholarly Influence

DHSDJArch: An Efficient Design of Distributed Heterogeneous Stream-Disk Join Architecture

Delay Optimization in LoRaWAN by Employing Adaptive Scheduling Algorithm With Unsupervised Learning

Evaluating the Effectiveness of Author-Count based Metrics in Measuring Scientific Contributions

The Integration of WoT and Edge Computing: Issues and Challenges

Collaborators (7)

Mohammad Hossein Anisi

Nikola Ivković

Kashif Qureshi

Iftikhar Ahmad

Salman Z. Alharthi

Muath A. Obaidat

Nebrase Elmrabit

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