As long as this is going – and your gaming mice can eavesdrop you?
High-performance optical mice, especially those with a resolution of 20,000 dpi or more and fast response (Polling Rate) are sufficiently sensitive to register the smallest desktops. In the context of gaming or graphic design, this precision provides superior movement control, but in this case the same technology is used in a completely unexpected manner.
For MIC-E-Mouse system, these microscopic shifts are transformed into acoustic signals. When the mouse is stationary on the table as one speaks, the sound vibrations travel through the surface and reach the sensor. If the computer runs software – either malicious or legitimate – which has access to raw sensor data, and information can be collected and analyzed.
As long as this is going – and your gaming mice can eavesdrop you?
Scientists at the University of California in Irvine have found that sensors in optical computer mice can detect tiny vibrations on the table and turn them into – speech. Their project, called Mic-e-Mouse , shows how a plain mouse can turn into an eavesdrop on a suitable software.
High-performance optical mice, especially those with a resolution of 20,000 dpi or more and fast response (Polling Rate) are sufficiently sensitive to register the smallest desktops. In the context of gaming or graphic design, this precision provides superior movement control, but in this case the same technology is used in a completely unexpected manner.
For MIC-E-Mouse system, these microscopic shifts are transformed into acoustic signals. When the mouse is stationary on the table as one speaks, the sound vibrations travel through the surface and reach the sensor. If the computer runs software – either malicious or legitimate – which has access to raw sensor data, and information can be collected and analyzed.
The process begins with the extract of raw data movement data and the insulation of vibrations that match the speech. The signal is then processed by digital filtering techniques, such as the Wiener filter, to remove the noise and enhance the frequency of the human voice. The data obtained then pass through a neural network that reconstructs a sound wave with greater clarity. In testing, the system has achieved the accuracy of speech recognition between 42% and 61% , which is enough to understand a significant part of the conversation.
It is worrying that such an attack does not require complex malicious programs. It is enough application – such as a game or design tool – which legally requires access to high-frequency mouse data, which someone could compromise. Once collected, the data can be sent to analyzing out of the computer, allowing you to be eavesdropping without any visible character for the user.
This survey shows how a combination artificial intelligence And easily accessible hardware can open completely new security risks in everyday devices. Although MIC-E-MOUSE is currently an experimental project, it warns of future scenarios that worked an unimaginable – the world in which we regularly gaming mouse can become a tool for eavesdropping.
