Cyberattacks on Miniature Brain Implants to Disrupt Spontaneous Neural Signaling
Sergio L\'opez Bernal, Alberto Huertas Celdr\'an, Lorenzo Fern\'andez, Maim\'o, Michael Taynnan Barros, Sasitharan Balasubramaniam, Gregorio, Mart\'inez P\'erez

TL;DR
This paper introduces novel cyberattacks targeting miniature brain implants, demonstrating their potential to disrupt neural signaling and highlighting security vulnerabilities in emerging BCI technologies.
Contribution
It defines and simulates the first two neural cyberattacks, Neuronal Flooding and Neuronal Scanning, revealing their distinct impacts on neuronal activity.
Findings
Both attacks reduce neuronal spikes and increase temporal shifts.
Neuronal Scanning causes higher dispersion of spikes.
Neuronal Flooding has immediate impact, while Scanning causes long-term damage.
Abstract
Brain-Computer Interfaces (BCI) arose as systems that merge computing systems with the human brain to facilitate recording, stimulation, and inhibition of neural activity. Over the years, the development of BCI technologies has shifted towards miniaturization of devices that can be seamlessly embedded into the brain and can target single neuron or small population sensing and control. We present a motivating example highlighting vulnerabilities of two promising micron-scale BCI technologies, demonstrating the lack of security and privacy principles in existing solutions. This situation opens the door to a novel family of cyberattacks, called neuronal cyberattacks, affecting neuronal signaling. This paper defines the first two neural cyberattacks, Neuronal Flooding (FLO) and Neuronal Scanning (SCA), where each threat can affect the natural activity of neurons. This work implements these…
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