The increasing integration of capacitive fingerprint recognition sensors in IoT devices presents new challenges in digital forensics, particularly in the context of advanced fingerprint spoofing. Previous research has highlighted the effectiveness of materials such as latex and silicone in deceiving biometric systems. In this study, we introduce Alginate, a biopolymer derived from brown seaweed, as a novel material with the potential for spoofing IoT-specific capacitive fingerprint sensors. Our research uses Alginate and cutting-edge image recognition techniques to unveil a nuanced IoT vulnerability that raises significant security and privacy concerns. Our proof-of-concept experiments employed authentic fingerprint molds to create Alginate replicas, which exhibited remarkable visual and tactile similarities to real fingerprints. The conductivity and resistivity properties of Alginate, closely resembling human skin, make it a subject of interest in the digital forensics field, especially regarding its ability to spoof IoT device sensors. This study calls upon the digital forensics community to develop advanced anti-spoofing strategies to protect the evolving IoT infrastructure against such sophisticated threats.

翻译：电容式指纹识别传感器在物联网设备中的日益集成给数字取证领域带来了新挑战，特别是在高级指纹欺骗方面。先前研究已指出乳胶和硅胶等材料在欺骗生物识别系统方面的有效性。本研究中，我们引入海藻酸盐（一种从褐藻中提取的生物聚合物）作为新型材料，其具备欺骗物联网专用电容式指纹传感器的潜力。我们利用海藻酸盐与先进的图像识别技术，揭示了一种引发严重安全与隐私问题的细微物联网漏洞。概念验证实验中，我们采用真实指纹模具制作的海藻酸盐复制品，展现出与真实指纹高度相似的视觉和触觉特性。海藻酸盐的导电与电阻特性与人体皮肤高度近似，使其成为数字取证领域重点关注的对象，尤其是在其能否欺骗物联网设备传感器方面。本研究呼吁数字取证社区开发先进的防欺骗策略，以保护不断演进的物联网基础设施免受此类精密威胁。