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About

Benjamin Yankson is a leading researcher at the intersection of robotics, cybersecurity, and privacy, with a particular focus on securing social robots and smart connected devices. His work addresses the critical vulnerabilities in Android-based robotic platforms, such as Zenbo and Google Voice-integrated systems, where he has pioneered methodologies for identifying privacy identification information leaks. Yankson’s most cited paper, "Building a speech recognition system with privacy identification information based on Google Voice for social robots" (12 citations), demonstrates how voice interfaces can inadvertently expose sensitive user data. His complementary study on "Security Assessment for Zenbo Robot Using Drozer and mobSF Frameworks" (11 citations) provides a practical framework for penetration testing of consumer robots, highlighting the risks of mobile-dependent architectures. With over 30 total citations across his portfolio, Yankson has also advanced the field of children’s privacy through his systematic impact assessment scheme for smart connected toys, ensuring compliance with data protection regulations. His work is notable for bridging the gap between open-source security tools and real-world robotic deployments, making him a key voice in the emerging discipline of robot security assessment.