WiMi Hologram Cloud Inc (WIMI)

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WIMI (NASDAQ: WIMI) Releases Brain-Computer Interface (BCI) Encrypted Anonymizer Software Technology System.

Source
https://finance.sina.com.cn/tech/roll/2023-06-06/doc-imywiftk2574032.shtml

June 6, 2023

Brain-computer interface technology is a cutting-edge technology with great prospects and a broad market application base.
It has unique advantages:
it can access the neural data decoded by the brain in real time. Even sports and other activities are combined to carry out neuromodulation technology. With the rapid development of technology, mobile technology, communication and cloud computing, the brain-computer interface technology has developed rapidly, enabling us to explore things that were unimaginable a few years ago. Application scenarios, the development far exceeds expectations. Currently there are business-oriented (B2B) devices on the market, and consumer-oriented (B2C) commercial devices. Although the development of brain-computer interface technology has brought many opportunities and application prospects, it also brings Here comes some security and privacy concerns.

According to reports, in order to ensure the security and privacy protection of brain-computer interface technology, WIMI (NASDAQ: WIMI) is developing a software system brain-computer interface encrypted anonymizer to ensure user information security and privacy issues.

Brain-computer interface (BCI) technology represents a direct communication link between the brain and external devices. Recent findings demonstrate how electroencephalography (EEG) signals recorded from consumer-grade BCI devices can be used to extract private information about users. With enough computing power, this information can be used by others to infer our memories, intentions, conscious and unconscious interests, and our emotional responses.

This technology has a wide range of applications, from medical devices to gaming and entertainment. However, the use of BCIs raises security and privacy concerns because EEG signals can reveal sensitive information about a user's thoughts, emotions, and memories. Therefore, it is critical to develop techniques that ensure the privacy and security of BCI users.


Research on improving the privacy and security properties of BCI-enabled technologies involves two major steps.
The first step focuses on identifying which components of electroencephalography (EEG) signals can be used to extract private information. After identifying potential vulnerabilities, WIMI's R&D team will quantify the amount of information exposed. Based on the results obtained,
the second step was the development of software encryption tools designed to prevent the possible extraction of users' private information. The "BCI encrypted anonymizer" developed by WIMI is based on signal components, that is, the recorded brain signals can be decomposed into a collection of characteristic signal components in real time. From these components, information corresponding to the user's expected BCI commands can be extracted while filtering out potentially private information.

EEG signals are a combination of different frequencies, each with unique characteristics. The EEG signal components used for private information extraction, the EEG signal components most susceptible to private information extraction are alpha waves and beta waves. Alpha waves are associated with relaxation, while beta waves are associated with cognitive processing and attention. Thus, alpha and beta waves can reveal sensitive information about a user's emotional state, cognitive ability, and attention span.

In order to quantify the amount of information that can be extracted from EEG signals, WIMI WIMI will use the mutual information (MI) method. MI measures the amount of information shared by two variables. In this case, WIMI's R&D team will measure the MI between the EEG signal and the private information that can be extracted from it. Based on MI results, the risk level of extracting private information from EEG signals can be determined.

The BCI encrypted anonymizer developed by WIMI Hologram is a software tool that can prevent the extraction of private information from EEG signals. The tool works by decomposing the EEG signal into a set of characteristic signal components. These components are the building blocks of the EEG signal and can be used to reconstruct the original signal. However, BCI anonymizers filter out components that contain private information, allowing only those needed to control external devices. This technology aims to strengthen the development of closed-loop brain-controlled interfaces, so as to better protect the privacy and security of users. We believe that this technology will provide a safer and more reliable option for future BCI applications.

The brain-computer interface encrypted anonymizer released by WIMI (NASDAQ: WIMI) works in real time without any additional hardware or sensors. It can be integrated into existing BCI systems and customized for different applications. The tool can also be used for offline data analysis to identify potential privacy risks in existing BCI data.

The privacy and security of brain-computer interface technology is critical to ensuring the trust and acceptance of the technology by users in its future development. WIMI's technical solutions can help address security and privacy concerns by identifying EEG signal components that are susceptible to private information extraction and developing software tools to prevent their extraction. The encrypted anonymizer of brain-computer interface can improve the privacy and security of users without compromising the function of brain-computer interface system. This technology could lead to the development of more advanced brain-computer interface systems that provide real-time control of external devices without compromising user privacy. This technical solution can effectively improve the security and reliability of brain-computer interface devices, avoid data leakage and abuse, and provide better user experience and services.