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| LidarPhone ... attack exploits smart vacuum cleaners |
Researchers have launched a new attack called LidarPhone that can sneak into a homeowner's conversation with a smart vacuum cleaner.
Smart vacuums that use smart sensors to work independently have attracted a lot of attention in recent years.
The LidarPhone attack specifically targets vacuum cleaners with LiDAR sensors.
The LiDAR system enables light detection and distance determination and is a remote sensing method that uses light in the form of a pulsed laser to measure the distance to nearby objects.
This technology helps the smart vacuum cleaner to bypass obstacles on the floor while cleaning.
The attack appears complex, as the attacker must penetrate the device itself and the attacker must connect to the victim's local network in order to initiate the attack.
A team of researchers from the University of Maryland and the National University of Singapore said: `` We are developing a system that allows LiDAR sensors to be reused to detect audio signals in the environment, capture data from the cloud, and process key signals to provide information. Extract. We call it the LidarPhone Surveillance System.
The basic idea of the attack is to remotely access the LiDAR readings from the smart vacuum cleaner and the integrated audio signal analysis.
This allows attackers to eavesdrop on private conversations that may reveal credit card details or provide criminal information that could be blackmailed, the researchers said.
The researchers were able to combine the LidarPhone attack with the Xiaomi Roborock smart vacuum cleaner as proof of concept.
The researchers said: The average accuracy of LidarPhone attacks on number ratings is 91% and the average accuracy of music ratings is 90%.
Researchers can detect various noises in the home, such as: the sound of moving cloth, the sound of garbage cans, and the sound of various musical acts on popular TV news channels.
Different conditions can reduce the impact of the attack: the distance from the vacuum cleaner and the difference in the noise levels will affect the overall effect, and the background noise level and lighting conditions will also affect the attack.
This attack reminds us that the popularity of smart sensors in our homes has opened the door to many attacks.