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Blockchain of Resource-Efficient Anonymity Protection with Watermarking for IoT Big Data Market
According to the ever-growing supply and demand of IoT content, IoT big data in diversified applications are deemed a valuable asset by private and public sectors. Their privacy protection has been a hot research topic. Inspired by previous work on bounded-error-pruned IoT content market, we observe that the anonymity protection with robust watermarking can be developed by further pruning data for better resource-efficient IoT big data without violating the required quality of sensor service ordoi:10.3390/cryptography6040049 fatcat:x35nv6c7d5e2zayypb674sus4q