Python
Mulberry Leaf Disease Detection Using CNN-Based Smart Android Application
Nyx – An Educational Assistant for the Visually Impaired
Pet Shop Management System
Privacy-Preserving Outsourced Support Vector Machine Design for Secure Drug Discovery
Quantum Safe Multi-Factor User Authentication Protocol for Cloud-Assisted Medical IoT
Aim:
To design and implement a Quantum-Safe Multi-Factor User Authentication Protocol for Cloud-Assisted Medical IOT systems, ensuring secure, privacy-preserving, and tamper-resistant access to sensitive healthcare data, even against future quantum-computing attacks, by integrating post-quantum cryptography.
ReACT_OCRS: An AI-Driven Anonymous Online Reporting System Using Synergized Reasoning and Acting in Language Models
Real Time Alert System based on Crime Area Mapping
Representing Fine-Grained Co-Occurrences for Behavior-Based Fraud Detection in Online Payment Services
RoundImage Towards Secure Graphical Password Authentication via Rounded Image Selection in IoT
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.
Secure and Efficient Outsourced k-Means Clustering using Fully Homomorphic Encryption With Ciphertext Packing Technique
Secured Electronic voting system using Blockchain Technology
