عبير طارق مولود

آخر البحوث المنشورة

E-commerce: Security Enhancement In Internet Banking

Improving Diffie-Hellman Key Exchange Using Irreducible Polynomials

Propose System for Sound Retrieval Using MAS and ANN

A new approach for hiding data within executable computer program files using an improvement cover

Improving Laboratories Efficiency through Website Using Text Mining

SMSCC: Smarter and More Secure Credit Card Using Neural Networks in Zero Knowledge protocol

PROPOSAL TO ENHANCE FINGERPRINT RECOGNITION SYSTEM

Enhance Criminal Investigation by Proposed Fingerprint Recognition System

The Future for Adaptive Software Development in Cloud Computing Environment Using Multi Agent System

MSOM: Modified Self Organizing Map for Faster Winning Cluster Detection

Improve Image Retrieval using Modified Fuzzy color& texture Histogram

Propose more efficient e- commerce website for searching and purchasing

Modifying Advanced Encryption Standard (AES) Algorithm

“ Signature-based and Supervised Learning to Improve Data Loss Protection ”

E-commerce Transactions of Behaviors Anomaly Detection System

An Effective Preprocessing Step Algorithm in Text Mining Application

Best approximate of vector space model by using SVD

A Fuzzy approach based for documents datasets clustering

Proposed Method to Enhance Text Document Clustering Using Improved Fuzzy C Mean Algorithm with Named Entity Tag

Performance Evaluation of the Electromagnetic Behavior of the Bundle SWCNTs with Circular Geometry

Enhancing supervised detection using decision tree and decision table

Proposed Data Loss Protection in Electronic health record

User behaviors attributes of database anomaly detection model

Towards Generating Robust Key Based on Neural Networks and Chaos Theory

Towards Generating a New Strong key for AES Encryption Method Depending on 2D Henon Map

Network Anomaly Detection Using Unsupervised Machine Learning: Comparative Study

Entropy analysis and image encryption application based on a new chaotic system crossing a cylinder

Determining of Robust Factors for Detecting IoT Attacks

Performance analysis of flow-based attacks detection on CSE-CIC-IDS2018 dataset using deep learning

Design the Modified Multi Practical Swarm Optimization to Enhance Fraud Detection

Machine Learning-Based Detection of Credit Card Fraud: A Comparative Study

Banking Intrusion Detection Systems based on customers behavior using Machine Learning algorithms: Comprehensive study

Improve The Support Vector Machine Using Modified Practical Swarm Optimization to Enhance Fraud Detection

Credit card Anomaly detection using improved deep Auto encoder algorithm