The Surprising Vulnerability of Facial Recognition on Smartphones

Table of Contents

1. Introduction
2. The Rise of Facial Recognition Technology
3. Facial Recognition on Smartphones: Protecting Your Digital Life?
4. testing the Security of Facial Recognition Systems
   • 4.1 Backface: The 3D Printed Head
   • 4.2 Testing Facial Recognition on Different Phones
5. Results of the Security Test
   • 5.1 The OnePlus 6
   • 5.2 Samsung Galaxy S9 and Note 8
   • 5.3 LG G7 ThinQ
   • 5.4 iPhone 10
6. The Trade-off between Security and Convenience
7. Lessons Learned and Recommendations
8. Conclusion

Testing the Security of Facial Recognition Systems

Facial recognition technology has become increasingly prevalent in various settings, from shopping centers to schools. It promises to enhance convenience and safeguard our digital lives. But just how secure are these facial recognition systems, particularly on smartphones? To put them to the test, we embarked on an experiment using a 3D printed head.

4.1 Backface: The 3D Printed Head

We began our investigation by collaborating with Backface, a small company based in Birmingham, UK. Backface specializes in creating highly accurate 3D printed models using an array of 96 DSLR cameras. These cameras capture data simultaneously, enabling the production of detailed 3D scans. With Backface's assistance, we created a lifelike 3D printed replica of a human head.

4.2 Testing Facial Recognition on Different Phones

Armed with the 3D printed head, we proceeded to test the facial recognition systems of various Android and iPhone models. We registered the real-life head for facial recognition on five phones: iPhone 10, LG G7 ThinQ, Samsung Galaxy S9, Samsung Note 8, and OnePlus 6. Our objective was to determine if these devices would grant access to the fake head.

5. Results of the Security Test

Our experiment yielded intriguing results, shedding light on the effectiveness of facial recognition systems across different smartphones. Let's examine the performance of each phone individually.

5.1 The OnePlus 6

The OnePlus 6 stood out as the most vulnerable to the 3D printed head. It unlocked almost immediately upon presentation, emphasizing the need for stronger security measures.

5.2 Samsung Galaxy S9 and Note 8

The Samsung phones displayed mixed results depending on lighting conditions. In brighter light, the facial recognition system was more prone to unlocking with the fake head. However, on a lower security setting or in the right lighting, the system proved more secure.

5.3 LG G7 ThinQ

The LG G7 ThinQ offered a choice between faster facial recognition or stronger security. Opting for faster recognition meant compromising on the reliability of the system. In some instances, the fake head managed to bypass the faster recognition mode.

5.4 iPhone 10

Apple's investment in the security of Face ID paid off, as the iPhone 10 proved to be the most robust in our test. The 3D printed head failed to trick the iPhone's facial recognition system, highlighting the strength of Apple's biometric security implementation.

The Trade-off between Security and Convenience

While facial recognition systems offer convenience, our experiment underscores the importance of prioritizing security. In certain conditions, facial recognition can be compromised, highlighting the need for additional security measures such as passcodes or passwords.

Pros:

• Convenient and fast access to smartphones
• Enhances user experience

Cons:

• Vulnerable to 3D printed replicas in certain lighting conditions
• Can be less secure compared to passcodes or passwords

Lessons Learned and Recommendations

Based on our research, we recommend the following considerations for users:

1. Use a strong passcode or password as the primary security measure.
2. Leverage facial recognition as a secondary form of authentication for added convenience.
3. Be cautious when using facial recognition in low-light or brightly lit environments.
4. Regularly update your smartphone's software to benefit from improved security features.

Conclusion

Facial recognition technology on smartphones is an evolving innovation that aims to protect our digital lives. While it offers convenience, our research demonstrates the importance of carefully considering the security implications. By understanding the limitations and making informed choices, users can strike a balance between accessibility and data protection.

Resources:

• Backface - Official Website