AI Can Steal Your Password by Listening as you Type

AI Can Steal Your Password by Listening as you Type

AI Could Listen as you Type your Password, and get Hacked
The rise of AI capabilities has led to a concerning discovery: it can accurately identify keystrokes based solely on the sound of typing. Recent research from British universities highlights this potential security threat. The study reveals that AI can achieve a 95% accuracy rate in deciphering keystrokes through sound, putting laptop users at risk of having sensitive information compromised. This method, termed "acoustic side channel attacks," involves a malicious third party using a secondary device like a smartphone or an unmuted microphone to record typing sounds. The recorded data is then processed by a deep-learning AI trained to recognize the distinct sounds of individual keys being pressed.

Deep Learning, a subset of machine learning, employs neural networks to mimic human brain processes and recognize patterns in various types of data, such as text, images, and sounds. While this technology powers everyday devices like voice assistants and self-driving cars, its increasing accessibility raises concerns about potential security vulnerabilities.

The research emphasizes that laptops are particularly susceptible to such attacks due to their portability and the ease with which typing sounds can be recorded in public spaces. The authors stress that users often underestimate the risks posed by keyboard acoustic emanations, leading them to neglect taking preventive measures.

To mitigate this threat, the paper suggests several strategies:
  1. Use Stronger Passwords: Employ passwords with a combination of uppercase and lowercase letters, special characters, and numbers. Avoid using full words that may be more easily deduced.
  2. Two-Factor Authentication (2FA): Enable 2FA for accounts and data access. This method requires users to provide two forms of identification, such as a password and an email confirmation.
  3. Biometric Authentication: Implement biometric security measures like fingerprint scans or facial recognition to enhance protection against attacks.
However, the researchers acknowledge that AI technology is evolving rapidly, and future attacks may become more sophisticated. They recommend exploring the use of smart speakers to record keystrokes and combining language models with deep-learning AI to enhance keystroke recognition and improve defense mechanisms.

As AI capabilities advance, it is essential for individuals and organizations to stay vigilant and proactive in safeguarding their sensitive information from emerging security threats like acoustic side channel attacks.

SOURCE: https://fortune.com/2023/08/08/artificial-intelligence-listen-keyboard-typing-steal-sensitive-information-cybersecurity-research/

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