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

Omotade, Adedotun Lawrence (2025) Neurotechnology and Human-Machine Interfaces: Securing Brain-Computer Interfaces (BCIs) Against Hacking. World Journal of Advanced Research and Reviews, 27 (1). pp. 2761-2771. ISSN 2581-9615

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.