AA
Abdulaziz A.Alsulami
King Abdulaziz University
Research areas: Computer Science · Computer Networks and Communications · Network Security and Intrusion Detection · Internet of Things and AI · Adversarial Robustness in Machine Learning
0000-0003-2931-8744
Employment
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King Abdulaziz University Associate Professor
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (57)
- An Exploratory Evaluation of Targeted Label Poisoning in a Client-Local Feature Federated Ensemble for Chest X-Ray Classification Save
- Auditing Client-Size Damping in Federated SMS Spam Detection Under Unequal Client Sizes and Class Imbalance Save
- Gated News-Event Fusion: Mathematical Properties and Prospective Evaluation for Stock Direction Forecasting Save
- Evaluating an Artificial Immune System-Evolved Decision-Tree Ensemble for Chest X-Ray Classification Save
- Interpretable Sequence Modeling of Educational Behavior using Temporal Attention Networks Save
- Improving Tree-Based Lung Disease Classification from Chest X-Ray Images Using Deep Feature Representations Save
- Toward a Hybrid Intrusion Detection Framework for IIoT Using a Large Language Model Save
- VidToCode: LLM-Based Source Code Reconstruction From Programming Video Tutorial Transcripts Save
- Integrating convolutional stacked long short-term memory with bio-inspired algorithm for secure unmanned aerial vehicle communication in SDN environment Save
- An Explainable Hybrid CNN–Transformer Architecture for Visual Malware Classification Save
- Semi-Supervised Learning with Entropy Filtering for Intrusion Detection in Asymmetrical IoT Systems Save
- Towards Robust SDN Security: A Comparative Analysis of Oversampling Techniques with ML and DL Classifiers Save
- Enhancing Multiclass Network Intrusion Detection Systems Using Continuous Wavelet Transform on Network Traffic Save
- Survey of Transformer-Based Malicious Software Detection Systems Save
- A Comprehensive Security Framework for Asymmetrical IoT Network Environments to Monitor and Classify Cyberattack via Machine Learning Save
- IoMT Landscape: Navigating Current Challenges and Pioneering Future Research Trends Save
- Exploring the efficacy of GRU model in classifying the signal to noise ratio of microgrid model Save
- Forecasting cryptocurrency's buy signal with a bagged tree learning approach to enhance purchase decisions Save
- Optimizing chest tuberculosis image classification with oversampling and transfer learning Save
- Securing the Internet of Flying Things (IoFT): A Proficient Defense Approach Save