Neurosecurity and Brain-Computer Interfaces
Alex Mathew *
Department of Cybersecurity, Bethany College, USA.
Frank Valentin
Department of Cybersecurity, Bethany College, USA.
Hannah Alex
University of Pittsburgh, Pennsylvania, USA.
*Author to whom correspondence should be addressed.
Abstract
The paper has thoroughly discussed the threats that affect brain-computer interfaces (BCIs). Some of the threats include denial-of-service attacks, neural spoofing, and eavesdropping. The paper used a systematic review to identify scholarly articles that discuss the BCI treatment, defence mechanisms, and implications. The research has used the CIA (Confidentiality, Integrity, and Availability) triad framework to classify BCI threats. Firms that utilise BCI components can enhance their network security by integrating biometric systems and data encryption techniques. They should also integrate machine learning models that will regularly analyse BCI networks to identify and mitigate threats. Medical personnel should ensure that patients have given them informed consent before implanting BCI components into their brains; this protects a patient’s cognitive liberty. This strategy reduces the lawsuits that medical personnel and hospitals face when using BCI tools to treat patients.
Keywords: Brain-computer interfaces, confidentiality, integrity, medical personnel