Neurotechnology and Human-Machine Interfaces: Securing Brain-Computer Interfaces (BCIs) Against Hacking

Brain-Computer Interfaces (BCIs) are developing as a promising technology in many areas, such as medical, military and consumer technology. Nevertheless, there are also serious security issues that involve the growing dependency on these technologies, especially the susceptibility to hacking. This research investigates the dangers of BCI systems and discusses the existing approaches to ensuring security of such devices against cyberattacks. The methodology will be to examine case studies in different domains, examine the literature available on vulnerabilities of BCI and to assess security practices like encryption and authentication approaches. The main conclusions include the increasing complexity of the hacking tools used to attack BCIs, and the insufficiency of the existing security systems to address the identified threats. The research highlights the necessity of sophisticated security measures and protection of neural information by advanced detection systems of threats and improved encryption to guarantee the integrity of BCI systems. The results are of critical value to researchers and developers who could use them as a basis to come up with more secure and resilient brain-computer interfaces in future.

Authors

Publication Details

Journal
World Journal of Advanced Research and Reviews
Published
2025-07-30
DOI
https://doi.org/10.30574/wjarr.2025.27.1.2534
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
0.00
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article

Neurotechnology and Human-Machine Interfaces: Securing Brain-Computer Interfaces (BCIs) Against Hacking

Adedotun Lawrence Omotade
1 links
World Journal of Advanced Research and Reviews
EEG and Brain-Computer Interfaces
article

Neurotechnology and Human-Machine Interfaces: Securing Brain-Computer Interfaces (BCIs) Against Hacking

Adedotun Lawrence Omotade
article en

Abstract

Brain-Computer Interfaces (BCIs) are developing as a promising technology in many areas, such as medical, military and consumer technology. Nevertheless, there are also serious security issues that involve the growing dependency on these technologies, especially the susceptibility to hacking. This research investigates the dangers of BCI systems and discusses the existing approaches to ensuring security of such devices against cyberattacks. The methodology will be to examine case studies in different domains, examine the literature available on vulnerabilities of BCI and to assess security practices like encryption and authentication approaches. The main conclusions include the increasing complexity of the hacking tools used to attack BCIs, and the insufficiency of the existing security systems to address the identified threats. The research highlights the necessity of sophisticated security measures and protection of neural information by advanced detection systems of threats and improved encryption to guarantee the integrity of BCI systems. The results are of critical value to researchers and developers who could use them as a basis to come up with more secure and resilient brain-computer interfaces in future.

World Journal of Advanced Research and ReviewsVol. 27(1)
Openalex Percentile: Top 77%
EEG and Brain-Computer Interfaces
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Neurotechnology and Human-Machine Interfaces: Securing Brain-Computer Interfaces (BCIs) Against Hacking — Adedotun Lawrence Omotade · World Journal of Advanced Research and Reviews (2025) | TGRS Research Map | TGRS