Neurosecurity: security and privacy for neural devices.
An increasing number of neural implantable devices will become available in the near future due to advances in neural engineering. This discipline holds the potential to improve many patients' lives dramatically by offering improved-and in some cases entirely new-forms of rehabilitation for conditions ranging from missing limbs to degenerative cognitive diseases. The use of standard engineering practices, medical trials, and neuroethical evaluations during the design process can create systems that are safe and that follow ethical guidelines; unfortunately, none of these disciplines currently ensure that neural devices are robust against adversarial entities trying to exploit these devices to alter, block, or eavesdrop on neural signals. The authors define "neurosecurity"-a version of computer science security principles and methods applied to neural engineering-and discuss why neurosecurity should be a critical consideration in the design of future neural devices.
Denning
Tamara
T
Department of Computer Science and Engineering, University of Washington, Seattle, Washington 98195-2350, USA.
Matsuoka
Yoky
Y
Kohno
Tadayoshi
T
D001186:Artificial Limbs; D001921:Brain / Q000502:physiology; D003071:Cognition / Q000502:physiology; D016494:Computer Security; D003219:Confidentiality; D046690:Deep Brain Stimulation / Q000379:methods / Q000639:trends; D004869:Equipment Safety; D006801:Humans; D008328:Man-Machine Systems; D009424:Nervous System Physiological Phenomena; D018907:Privacy; D019736:Prostheses and Implants; D012637:Security Measures / Q000639:trends; D014584:User-Computer Interface