Ambient audio authentication.

Area of Science:

• Cybersecurity
• Internet of Things (IoT)
• Sensor Networks

Background:

• IoT devices in unattended areas are vulnerable to physical tampering and relocation by attackers.
• Unauthorized movement of IoT devices can lead to inaccurate environmental sensing and critical system failures.
• Current authentication methods may not adequately address the physical security of deployed IoT devices.

Purpose of the Study:

• To propose a novel ambient authentication mechanism for IoT environments.
• To enhance multi-factor authentication by incorporating physical location verification.
• To mitigate security risks associated with the unauthorized relocation of IoT devices.

Main Methods:

• Utilized ambient sensors on smartphones for authentication.
• Employed an ultrasonic signal transmitted by an authenticator, undetectable by human hearing.
• Measured the bit error rate of the attenuated, returned audio signal to determine relative distance.

Main Results:

• The proposed audio-based authentication method effectively narrows the authentication distance to under 0.5 meters.
• Demonstrated the capability to detect the physical displacement of IoT devices.
• Successfully improved the security of the authentication system against unauthorized relocation.

Conclusions:

• The ambient audio authentication mechanism offers a robust solution for securing IoT devices against physical tampering.
• The system enhances IoT security by ensuring devices remain within a defined proximity.
• This approach provides a practical and effective method for physical layer security in IoT deployments.