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New biometric cryptosystem to protect sensitive data in Internet of objects

机译:新的生物识别密码系统可保护对象互联网中的敏感数据

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摘要

Ensuring protection of sensitive data in embedded devices widespread and operanting in adversary environment is a major issue. Among lot of instance of this problem, IoT is the well-know case study. In addition, very often for cost reason, the devices used in Internet of Things (IoT) do not integrate secure components (cryptoprocessor, encrypted memory, etc) like smart card. To solve this issue, this paper presents two contributions to fuzzy vault-biometric cryptosystems which can enable IoT devices supporting biometry to secure sensitive data they embed in their memory when they operate in an adverse environment. If an adversary captures a device and read content of this regular memory, it will be very difficult for him to recover the protected data using brute-force. The first advantage of the proposals is thus to enable IoT devices to still embed regular memory, to protect sensitive data, instead of an expensive native encrypted memory or to add a cryptoprocessor. The second advantage of the proposals is to enable to not require storing of helper data and thus improve security and also save memory. Obviously our proposals can also be used in already secure devices to enhance the security level. Experimental results performed using fingerprint modality show that the proposals have the potential to efficiently protect sensitive data despite the strong constrained of IoT devices.
机译:确保在敌对环境中广泛使用的嵌入式设备中敏感数据的保护是一个主要问题。在这个问题的许多实例中,IoT是众所周知的案例研究。此外,由于成本原因,经常在物联网(IoT)中使用的设备未集成智能卡等安全组件(加密处理器,加密内存等)。为了解决这个问题,本文提出了对模糊库生物计量密码系统的两个贡献,该系统可使支持生物计量的物联网设备在不利的环境中运行时,能够保护嵌入在其内存中的敏感数据。如果对手捕获了设备并读取了此常规内存的内容,那么他​​将很难使用蛮力来恢复受保护的数据。这些建议的第一个优点是,使IoT设备仍然可以嵌入常规内存,保护敏感数据,而不是昂贵的本机加密内存或添加加密处理器。提议的第二个优点是使得不需要存储辅助数据,从而提高了安全性并节省了内存。显然,我们的建议也可以用于已经安全的设备中,以提高安全级别。使用指纹识别方式进行的实验结果表明,尽管物联网设备受到很大的限制,但这些提案仍具有有效保护敏感数据的潜力。

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