Farhan Ullah
Orcid: 0000-0002-1030-1275Affiliations:
- Prince Mohammad Bin Fahd University, Cybersecurity Center, Khobar, Saudi Arabia
According to our database1,
Farhan Ullah authored at least 93 papers
between 2016 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
Edge-QSFL: Quantum-Enhanced Split Federated Learning With Multi-Head Temporal Networks for Edge-Based Intelligent Transportation Security.
IEEE Trans. Consumer Electron., May, 2026
FedDefuse: a data-free self-training framework for reliable open-world federated defense.
Computing, April, 2026
Hybrid Machine Learning-Based Trust Management Approach to Secure the Mobile Crowdsourcing.
Digit. Threat. Res. Pract., March, 2026
Adversarial Malware Detection on Consumer Devices Using Optimized Image-Based Ensembles.
IEEE Consumer Electron. Mag., March, 2026
XAI-EdgeSFL: Explainable Edge Intelligence With Adaptive Intrusion-Resilient Split Federated Learning for Consumer Healthcare Ecosystems.
IEEE Trans. Consumer Electron., February, 2026
TIDE-Net: A Two-Stage Temporal Deep Learning Framework for Multi-Granular IoT Intrusion Detection.
Concurr. Comput. Pract. Exp., February, 2026
MSEF-YOLO11s: a multi-scale extraction and fusion network for small target detection in drone imagery.
J. Supercomput., January, 2026
HoloTiny-AD: A Trustworthy Anomaly Detection in Resource-Constrained IoT Devices Using Holographic TinyML and Deep Metaheuristics.
IEEE Internet Things J., 2026
Securing smart city Internet of Vehicles via transformer integrated consensus ensemble learning and bio-inspired metaheuristics.
Int. J. Crit. Infrastructure Prot., 2026
AI-Driven Energy-Efficient Load Balancing in Hybrid Edge-Cloud Architectures for Renewable Energy Networks.
IEEE Netw. Lett., 2026
ANRF: An Adaptive Network Reconstruction Framework for Community Detection in Bipartite Networks.
Future Internet, 2026
PAACGAN : Protocol-Aware Generative Augmentation for Robust Imbalanced Network Intrusion Detection.
Expert Syst. J. Knowl. Eng., 2026
2025
ZTID-IoV: Zero-Trust Intrusion Detection in IoV Using Neurosymbolic AI Approach With Federated Meta-Learning.
IEEE Trans. Consumer Electron., November, 2025
Adaptive IoT Defense With Deep Q-Learning Model for DNS Spoofing Prevention in Self-Organizing Networks.
IEEE Commun. Stand. Mag., September, 2025
Signal Image Video Process., August, 2025
IEEE Consumer Electron. Mag., July, 2025
Q-P2FL: Quantum-Enhanced Federated Edge Intelligence for Privacy-Preserving Adversarial Attack Detection on Consumer Edge Devices.
IEEE Trans. Consumer Electron., May, 2025
Federated Edge Intelligence for Enhanced Security in Consumer Intermittent Healthcare Devices Using Adversarial Examples.
IEEE Trans. Consumer Electron., May, 2025
TCAD-Net: Integrating Transformer and Convolution for Weakly Supervised Anomaly Data Discovery.
IEEE Trans. Consumer Electron., May, 2025
IEEE Consumer Electron. Mag., May, 2025
A Survey on Emerging Trends and Applications of 5G and 6G to Healthcare Environments.
ACM Comput. Surv., April, 2025
IEEE Consumer Electron. Mag., March, 2025
Efficient malware detection using hybrid approach of transfer learning and generative adversarial examples with image representation.
Expert Syst. J. Knowl. Eng., February, 2025
Homomorphic Encryption Applications for IoT and Light-Weighted Environments: A Review.
IEEE Internet Things J., January, 2025
Classification of intrusion cyber-attacks in smart power grids using deep ensemble learning with metaheuristic-based optimization.
Expert Syst. J. Knowl. Eng., January, 2025
BrainNet: a custom-designed CNN and transfer learning-based models for diagnosing brain tumors from MRI images.
PeerJ Comput. Sci., 2025
A Stochastic Prototypical Network for Few-Shot Intrusion Detection in CAN-Based IoV Network.
IEEE Open J. Commun. Soc., 2025
TFedSec-HI: Transformer-Driven Federated Security for IoT-Enabled Healthcare Industry 5.0 on Non-IID Data.
IEEE Internet Things J., 2025
EIDS-DTL: Edge-Based Intrusion Detection System for IoUAVs Using Metaheuristic Task Optimization and Deep Transfer Learning.
IEEE Internet Things J., 2025
THE-TAFL: Transforming Healthcare Edge with Transformer-based Adaptive Federated Learning and Learning Rate Optimization.
Internet Things, 2025
Optimizing vehicle security: A multiclassification framework using deep transfer learning and metaheuristic-based genetic algorithm optimization.
Int. J. Crit. Infrastructure Prot., 2025
Elevating e-health excellence with IOTA distributed ledger technology: Sustaining data integrity in next-gen fog-driven systems.
Future Gener. Comput. Syst., 2025
Measuring student attention based on EEG brain signals using deep reinforcement learning.
Expert Syst. Appl., 2025
Machine Learning Stroke Prediction in Smart Healthcare: Integrating Fuzzy K-Nearest Neighbor and Artificial Neural Networks with Feature Selection Techniques.
Comput. Mater. Continua, 2025
Advanced EEG Signal Processing and Deep Q-Learning for Accurate Student Attention Monitoring.
IEEE Access, 2025
ActionSync Video Transformation: Automated Object Removal and Responsive Effects in Motion Videos Using Hybrid CNN and GRU.
IEEE Access, 2025
NRF: A Network Reconstruction Framework for Community Detection in Bipartite Networks.
IEEE Access, 2025
Proceedings of the IEEE International Conference on Big Data, 2025
Proceedings of the Advanced Information Networking and Applications, 2025
2024
IEEE Wirel. Commun., December, 2024
NMal-Droid: network-based android malware detection system using transfer learning and CNN-BiGRU ensemble.
Wirel. Networks, August, 2024
Enhanced Network Intrusion Detection System for Internet of Things Security Using Multimodal Big Data Representation with Transfer Learning and Game Theory.
Sensors, July, 2024
A Scalable Federated Learning Approach for Collaborative Smart Healthcare Systems With Intermittent Clients Using Medical Imaging.
IEEE J. Biomed. Health Informatics, June, 2024
Intelligent multimedia content delivery in 5G/6G networks: A reinforcement learning approach.
Trans. Emerg. Telecommun. Technol., April, 2024
NIDS-VSB: Network Intrusion Detection System for VANET Using Spark-Based Big Data Optimization and Transfer Learning.
IEEE Trans. Consumer Electron., February, 2024
Privacy-Preserving Federated Learning Approach for Distributed Malware Attacks With Intermittent Clients and Image Representation.
IEEE Trans. Consumer Electron., February, 2024
Intelligent decision making for energy efficient fog nodes selection and smart switching in the IOT: a machine learning approach.
PeerJ Comput. Sci., 2024
Hybrid computing framework security in dynamic offloading for IoT-enabled smart home system.
PeerJ Comput. Sci., 2024
An expert system for hybrid edge to cloud computational offloading in heterogeneous MEC-MCC environments.
J. Netw. Comput. Appl., 2024
The revolution and vision of explainable AI for Android malware detection and protection.
Internet Things, 2024
Computational modeling of animal behavior in T-mazes: Insights from machine learning.
Ecol. Informatics, 2024
IDS-INT: Intrusion detection system using transformer-based transfer learning for imbalanced network traffic.
Digit. Commun. Networks, 2024
Enhancing driver attention and road safety through EEG-informed deep reinforcement learning and soft computing.
Appl. Soft Comput., 2024
Collaborative Intrusion Detection System for Intermittent 10 Vs Using Federated Learning and Deep Swarm Particle Optimization.
Proceedings of the 11th IEEE International Conference on Data Science and Advanced Analytics, 2024
Homomorphic Cryptography Authentication Scheme to Eliminate Machine Tools Gaps in Industry 4.0.
Proceedings of the Advanced Information Networking and Applications, 2024
P2FL: Privacy-Preserving Federated Learning Approach for Healthcare Informatics at the Edge.
Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2024
2023
Dynamic Resource Allocation Techniques for Wireless Network Data in Elastic Optical Network Applications.
Mob. Networks Appl., October, 2023
Development of a deep stacked ensemble with process based volatile memory forensics for platform independent malware detection and classification.
Expert Syst. Appl., August, 2023
Mob. Networks Appl., June, 2023
Droid-MCFG: Android malware detection system using manifest and control flow traces with multi-head temporal convolutional network.
Phys. Commun., April, 2023
Elliptic Curve Cryptography; Applications, challenges, recent advances, and future trends: A comprehensive survey.
Comput. Sci. Rev., February, 2023
Android-IoT Malware Classification and Detection Approach Using Deep URL Features Analysis.
J. Database Manag., 2023
Int. J. Inf. Sec., 2023
2022
IoT-based Cloud Service for Secured Android Markets using PDG-based Deep Learning Classification.
ACM Trans. Internet Techn., 2022
Explainable artificial intelligence approach in combating real-time surveillance of COVID19 pandemic from CT scan and X-ray images using ensemble model.
J. Supercomput., 2022
Cyber-Threat Detection System Using a Hybrid Approach of Transfer Learning and Multi-Model Image Representation.
Sensors, 2022
Explainable Malware Detection System Using Transformers-Based Transfer Learning and Multi-Model Visual Representation.
Sensors, 2022
A Deep Convolutional Neural Network Stacked Ensemble for Malware Threat Classification in Internet of Things.
J. Circuits Syst. Comput., 2022
A malware detection system using a hybrid approach of multi-heads attention-based control flow traces and image visualization.
J. Cloud Comput., 2022
A perspective trend of hyperelliptic curve cryptosystem for lighted weighted environments.
J. Inf. Secur. Appl., 2022
CroLSSim: Cross-language software similarity detector using hybrid approach of LSA-based AST-MDrep features and CNN-LSTM model.
Int. J. Intell. Syst., 2022
Trans. Emerg. Telecommun. Technol., 2022
2021
A Deep Learning-based Approach for Emotions Classification in Big Corpus of Imbalanced Tweets.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2021
Clone detection in 5G-enabled social IoT system using graph semantics and deep learning model.
Int. J. Mach. Learn. Cybern., 2021
An intelligent decision support system for software plagiarism detection in academia.
Int. J. Intell. Syst., 2021
Software plagiarism detection in multiprogramming languages using machine learning approach.
Concurr. Comput. Pract. Exp., 2021
2020
Plagiarism detection in students' programming assignments based on semantics: multimedia e-learning based smart assessment methodology.
Multim. Tools Appl., 2020
Int. J. Parallel Program., 2020
Malware detection in industrial internet of things based on hybrid image visualization and deep learning model.
Ad Hoc Networks, 2020
Corrections to "Non-Stationary Representation for Continuity Aware Head Pose Estimation via Deep Neural Decision Trees".
IEEE Access, 2020
Corrections to "An End-to-End Task-Simplified and Anchor-Guided Deep Learning Framework for Image-Based Head Pose Estimation".
IEEE Access, 2020
An End-to-End Task-Simplified and Anchor-Guided Deep Learning Framework for Image-Based Head Pose Estimation.
IEEE Access, 2020
Proceedings of the Security and Privacy in Social Networks and Big Data, 2020
2019
KSII Trans. Internet Inf. Syst., 2019
Comput. Electr. Eng., 2019
Non-Stationary Representation for Continuity Aware Head Pose Estimation Via Deep Neural Decision Trees.
IEEE Access, 2019
Source Code Authorship Attribution Using Hybrid Approach of Program Dependence Graph and Deep Learning Model.
IEEE Access, 2019
IEEE Access, 2019
IEEE Access, 2019
2018
A Smart System for Low-Light Image Enhancement with Color Constancy and Detail Manipulation in Complex Light Environments.
Symmetry, 2018
J. Inf. Process. Syst., 2018
2017
Wirel. Commun. Mob. Comput., 2017
2016
Int. J. Distributed Sens. Networks, 2016