Sensor data in IoT (Internet of Things) systems is vulnerable to tampering or falsification when transmitted through untrusted services. This is critical because such data increasingly underpins real-world decisions in domains such as logistics, healthcare, and other critical infrastructure. We propose a general method for secure sensor-data logging in which tamper-evident devices periodically sign readouts, link data using redundant hash chains, and submit cryptographic evidence to a blockchain-based service via Merkle trees to ensure verifiability even under data loss. Our approach enables reliable and cost-effective validation of sensor data across diverse IoT systems, including disaster response and other humanitarian applications, without relying on the integrity of intermediate systems.
翻译:物联网(IoT)系统中的传感器数据在通过不可信服务传输时易遭篡改或伪造。这一问题至关重要,因为此类数据日益成为物流、医疗保健及其他关键基础设施领域现实决策的基础。我们提出一种通用的安全传感器数据记录方法:防篡改设备定期对读数进行数字签名,通过冗余哈希链链接数据,并借助默克尔树将密码学证据提交至基于区块链的服务,从而确保即使在数据丢失情况下仍可验证。该方法能在不依赖中间系统完整性的前提下,为包括灾害响应及其他人道主义应用在内的多样化物联网系统,提供可靠且经济高效的传感器数据验证方案。