DroneGuard: An Explainable and Efficient Machine Learning Framework for Intrusion Detection in Drone Networks

5,500.00

Aim:

Ā  Ā  Ā  Ā  Ā  Design and deliver a lightweight, interpretable, and efficient intrusion detection framework that detects GPS-spoofing and Denial-of-Service (DoS) attacks in drone networks in (near) real time while producing human-readable explanations for each alarm.

 

Securing EHRs With a Novel Token-Based and PPoS Blockchain Methodology

5,500.00
The aim of this project is to develop a secure and scalable Electronic Health Record (EHR) system using blockchain technology to protect privacy, ensure data integrity, and provide controlled access to patient health records.