Tell the Device Password: Smart Device Wi-Fi Connection Based on Audio Waves.

Area of Science:

• Computer Science
• Electrical Engineering
• Cybersecurity

Background:

• Internet of Things (IoT) devices are increasingly common, but their security is often overlooked by manufacturers.
• Existing Wi-Fi connection methods like Smart Config have security vulnerabilities and slow data processing.
• The need for secure and efficient device onboarding in IoT networks is critical.

Purpose of the Study:

• To propose a novel, secure, and efficient Wi-Fi connection method for IoT devices.
• To address the security and speed limitations of current IoT device connection protocols.
• To enhance the overall security of wireless transmissions for smart devices.

Main Methods:

• Developed a new Wi-Fi connection method utilizing audio waves.
• Implemented Multiple Frequency-Shift Keying (MFSK) for data transmission via sound.
• Introduced an encryption solution incorporating jamming signals for enhanced security.

Main Results:

• The audio-wave-based method demonstrates high correctness and efficiency for short-distance connections.
• Audio waves provide inherent security against eavesdropping compared to traditional methods.
• The jamming signal encryption significantly boosts transmission security.

Conclusions:

• The proposed audio-wave MFSK method offers a secure and efficient alternative for connecting IoT devices.
• This approach enhances IoT device security by leveraging inaudible sound and advanced encryption.
• Further development can improve the adoption of secure audio-based IoT connectivity.