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OSAMA MAHMOUD ALSAYED OUDA

Associate Professor

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omalsayed@ju.edu.sa
Computer and Information Sciences - Computer and Information Sciences College
College
Computer and Information Sciences College
كلية علوم الحاسب والمعلومات
Department
Computer Science
علوم الحاسب
Researches
14
14
Page Visits
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Fm researches

Last Researches

Improved Detection of Phishing Websites using Machine Learning
OSAMA MAHMOUD OUDA
Real-Time Intrusion Detection For IIOT: Advancing Edge Computing Security with Machine Learning-Based Solutions
OSAMA MAHMOUD OUDA
STEGANALYSIS OF DATA HIDDEN IN RGB IMAGES USING RESIDUAL NEURAL NETWORK
OSAMA MAHMOUD OUDA

fm info

Researches

Improved Detection of Phishing Websites using Machine Learning
OSAMA MAHMOUD OUDA
Real-Time Intrusion Detection For IIOT: Advancing Edge Computing Security with Machine Learning-Based Solutions
OSAMA MAHMOUD OUDA
STEGANALYSIS OF DATA HIDDEN IN RGB IMAGES USING RESIDUAL NEURAL NETWORK
OSAMA MAHMOUD OUDA
Reliable prediction of software defects using Shapley interpretable machine learning models
OSAMA MAHMOUD OUDA
A Hybrid Classification Approach of Network Attacks using Supervised and Unsupervised Learning
OSAMA MAHMOUD OUDA
CREDIT CARD FRAUDS SCORING MODEL BASED ON DEEP LEARNING ENSEMBLE
OSAMA MAHMOUD OUDA
Multiple Ocular Disease Diagnosis Using Fundus Images Based on Multi-Label Deep Learning Classification
OSAMA MAHMOUD OUDA
A SECURE IDENTITY AND ACCESS MANAGEMENT FRAMEWORK IN CLOUD ENVIRONMENT BASED ON DUAL-FACTOR AUTHENTICATION
OSAMA MAHMOUD OUDA
Secure and Efficient Proof of Ownership Scheme for Client-Side Deduplication in Cloud Environments
OSAMA MAHMOUD OUDA
Detecting Fake News in Social Media Using Voting Classifier
OSAMA MAHMOUD OUDA
On the Practicality of Local Ranking-Based Cancelable Iris Recognition
OSAMA MAHMOUD OUDA
Efficient Key Agreement Algorithm for Wireless Body Area Networks Using Reusable ECG-Based Features
OSAMA MAHMOUD OUDA
Cancelable Biometrics Vault: A Secure Key-Binding Biometric Cryptosystem Based on Chaffing and Winnowing
OSAMA MAHMOUD OUDA
Security Evaluation of Negative Iris Recognition
OSAMA MAHMOUD OUDA
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