Showing 13–16 of 16 results

Phishing URL Detection: A Real-Case Scenario Through Login URLs

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā  To provide an automated system for the recognition of phishing websites through login URLs Abstract: Ā Ā Ā Ā Ā Ā Ā Ā Ā  Phishing attacks

Ransomware Classification and Detection with Machine Learning Algorithms

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā  This study aims to improve the accuracy of Ransomware Classification and Detection with Machine Learning Algorithms Ransomware Classification,

RoundImage Towards Secure Graphical Password Authentication via Rounded Image Selection in IoT

5,500.00

Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā  Our study aims to develop a Multi-Factor Authentication System that integrates RoundImage-based graphical password verification with Time-based One-Time Password (T-OTP) authentication to ensure secure, reliable, and observation-resistant user login. The system is designed to enhance trust, prevent unauthorized access, and reduce credential-based attacks by providing a tamper-resistant, user-friendly, and highly secure authentication framework suitable for modern digital environments, including IoT and web applications.

Social Media Forensics an Adaptive Cyberbullying-Related Hate Speech Detection Approach Based on Neural Networks with Uncertainty

5,500.00
Aim: To propose an approach that improves the accuracy and efficiency of cyberbullying detection in social media text by utilizing an advanced model that aims to overcome ambiguity and classification challenges.