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Neurosecurity: security and privacy for neural devices.

Tamara Denning¹, Yoky Matsuoka, Tadayoshi Kohno

¹Department of Computer Science and Engineering, University of Washington, Seattle, Washington 98195-2350, USA.

Neurosurgical Focus

|July 3, 2009

Summary

Future neural implantable devices require neurosecurity, applying computer science security to neural engineering. This ensures protection against adversarial attacks aiming to disrupt or exploit neural signals for patient safety.

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Area of Science:

Neural Engineering
Neuroscience
Cybersecurity

Background:

Advances in neural engineering are leading to more neural implantable devices.
These devices offer significant rehabilitation potential for various conditions.
Current design practices lack robust protection against adversarial exploitation of neural signals.

Purpose of the Study:

To define neurosecurity as the application of computer science security principles to neural engineering.
To highlight the critical need for neurosecurity in the design of future neural devices.

Main Methods:

Review of current neural engineering design practices.
Analysis of potential adversarial threats to neural devices.
Adaptation of computer science security methodologies for neural systems.

Main Results:

Identification of vulnerabilities in current neural device designs.
Establishment of neurosecurity as a distinct and necessary field.
Demonstration of the applicability of security principles to neural systems.

Conclusions:

Neurosecurity is essential for the safe and ethical development of neural implantable devices.
Proactive integration of neurosecurity measures will safeguard against malicious attacks.
Future neural device design must prioritize robust neurosecurity protocols.