Journal Article


Brainjacking: Implant Security Issues in Invasive Neuromodulation

Abstract

The security of medical devices is critical to good patient care, especially when the devices are implanted. In light of recent developments in information security, there is reason to be concerned that medical implants are vulnerable to attack. The ability of attackers to exert malicious control over brain implants (“brainjacking”) has unique challenges that we address in this review, with particular focus on deep brain stimulation implants. To illustrate the potential severity of this risk, we identify several mechanisms through which attackers could manipulate patients if unauthorized access to an implant can be achieved. These include blind attacks in which the attacker requires no patient-specific knowledge and targeted attacks that require patient-specific information. Blind attacks include cessation of stimulation, draining implant batteries, inducing tissue damage, and information theft. Targeted attacks include impairment of motor function, alteration of impulse control, modification of emotions or affect, induction of pain, and modulation of the reward system. We also discuss the limitations inherent in designing implants and the trade-offs that must be made to balance device security with battery life and practicality. We conclude that researchers, clinicians, manufacturers, and regulatory bodies should cooperate to minimize the risk posed by brainjacking.

Attached files

Authors

Pycroft, L
Boccard, S
Owen, S
Stein, J
Fitzgerald, J
Green, A
Aziz, T

Oxford Brookes departments

Faculty of Health and Life Sciences\Department of Nursing

Dates

Year of publication: 2016
Date of RADAR deposit: 2016-10-27


Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License


Related resources

This RADAR resource is the Accepted Manuscript of Brainjacking: Implant Security Issues in Invasive Neuromodulation

Details

  • Owner: Rosa Teira Paz
  • Collection: Outputs
  • Version: 1 (show all)
  • Status: Live
  • Views (since Sept 2022): 714