New technique protects consumers from voice spoofing attacks
Researchers from CSIRO’s Data61 have developed a new technique to protect consumers from voice spoofing attacks.
Fraudsters can record a person’s voice for voice assistants like Amazon Alexa or Google Assistant and replay it to impersonate that individual. They can also stitch samples together to mimic a person’s voice in order to spoof, or trick third parties.
Detecting when hackers are attempting to spoof a system
The new solution, called Void (Voice liveness detection), can be embedded in a smartphone or voice assistant software and works by identifying the differences in spectral power between a live human voice and a voice replayed through a speaker, in order to detect when hackers are attempting to spoof a system.
Consumers use voice assistants to shop online, make phone calls, send messages, control smart home appliances and access banking services.
Muhammad Ejaz Ahmed, Cybersecurity Research Scientist at CSIRO’s Data61, said privacy preserving technologies are becoming increasingly important in enhancing consumer privacy and security as voice technologies become part of daily life.
“Voice spoofing attacks can be used to make purchases using a victim’s credit card details, control Internet of Things connected devices like smart appliances and give hackers unsolicited access to personal consumer data such as financial information, home addresses and more,” Mr Ahmed said.
“Although voice spoofing is known as one of the easiest attacks to perform as it simply involves a recording of the victim’s voice, it is incredibly difficult to detect because the recorded voice has similar characteristics to the victim’s live voice. Void is game-changing technology that allows for more efficient and accurate detection helping to prevent people’s voice commands from being misused”.
Relying on insights from spectrograms
Unlike existing voice spoofing techniques which typically use deep learning models, Void was designed relying on insights from spectrograms — a visual representation of the spectrum of frequencies of a signal as it varies with time to detect the ‘liveness’ of a voice.
This technique provides a highly accurate outcome, detecting attacks eight times faster than deep learning methods, and uses 153 times less memory, making it a viable and lightweight solution that could be incorporated into smart devices.
Void has been tested using datasets from Samsung and Automatic Speaker Verification Spoofing and Countermeasures challenges, achieving an accuracy of 99 per cent and 94 per cent for each dataset.
Research estimates that by 2023, as many as 275 million voice assistant devices will be used to control homes across the globe — a growth of 1000 percent since 2018.
How to protect data when using voice assistants
- Always change your voice assistant settings to only activate the assistant using a physical action, such as pressing a button.
- On mobile devices, make sure the voice assistant can only activate when the device is unlocked.
- Turn off all home voice assistants before you leave your house, to reduce the risk of successful voice spoofing while you are out of the house.
- Voice spoofing requires hackers to get samples of your voice. Make sure you regularly delete any voice data that Google, Apple or Amazon store.
- Try to limit the use of voice assistants to commands that do not involve online purchases or authorizations – hackers or people around you might record you issuing payment commands and replay them at a later stage.