{SecureNeuroAI}: Advanced Security Framework for {AI}-Powered Multimodal Real-Time Detection of Medical Seizure Events

In today’s interconnected world, medical devices

are increasingly equipped with novel digital technologies

and AI-powered methods to improve the users’ quality of

life. Despite the increased possibilities and features these

devices offer due to the technical progress, cyberattacks on

medical devices will increase as well with possibly severe

outcomes for the patients. At the same time, AI-based tech-

nologies could help to detect and mitigate these attacks on

medical systems and their data in real-time. Therefore, our

project ”SecureNeuroAI” aims to detect epileptic seizures

using multimodal sensor data and AI models while also con-

sidering possible cyberattacks on this system resulting in

an IT-secure system. Our results will serve as an example

for future AI-supported medical devices and systems to en-

hance their security and to strengthen their trustworthiness

towards their (future) users.