US20240126844
2024-04-18
Physics
G06F21/31
A system is designed to enhance the security of brain-computer interfaces (BCIs), which allow users, particularly those with disabilities, to control computers using their thoughts. This system utilizes a combination of hardware and software to authenticate users and monitor their interactions with target computer systems. The main goal is to ensure user privacy and protect against unauthorized access or manipulation by malicious actors.
The system employs a user interface that receives signals from the BCI to authenticate the user. Upon successful authentication, users are granted permission to operate a target computer system through the BCI. The authentication can involve various methods, including selecting or manipulating virtual objects in a predefined sequence. This process helps confirm that the individual using the BCI is indeed the authorized user.
In addition to authentication, the system continuously monitors both the user and the communication between the BCI and the target computer system. This monitoring aims to maintain the integrity of interactions and ensure that no unauthorized alterations or interceptions occur during communication. Such measures are crucial in safeguarding sensitive information from potential breaches.
The system operates within a comprehensive communication network that supports various access types, including broadband, wireless, and voice services. This network facilitates secure connections between the BCI and target systems through technologies such as virtual private networks (VPNs). The integration of different network elements ensures reliable data transmission while enhancing security protocols.
Given the vulnerabilities associated with BCIs, including potential hacking threats that could exploit user data or manipulate thoughts, this system is vital. By implementing robust authentication and monitoring protocols, it aims to mitigate risks such as unauthorized access, identity theft, and other malicious activities. Overall, this innovation represents a significant step forward in ensuring safe and secure interactions with brain-computer interfaces.