Python
Real-Time Smart Aquarium Monitoring System Driven by IoT
Recent Advances in Deep-Learning Based SAR Image Target Detection and Recognition
Recognition of Fish in Aqua Cage by Machine Learning with Image Enhancement
Representing Fine-Grained Co-Occurrences for Behavior-Based Fraud Detection in Online Payment Services
Research on Environmental Monitoring System Based on Wireless Sensor Network
Research on Fire Smoke Detection Algorithm Based on Improved YOLOv8
Road Traffic Accident Risk Prediction and Key Factor Identification Framework Based on Explainable Deep Learning
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.
Rule-Based With Machine Learning IDS for DDoS Attack Detection in Cyber-Physical Production Systems (CPPS)
Secure and Efficient Outsourced k-Means Clustering using Fully Homomorphic Encryption With Ciphertext Packing Technique
Secured Electronic voting system using Blockchain Technology
