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With rapid advances in edge computing and the Internet of Things, the security of low-layer hardware devices attract more and more attention. As an ideal hardware solution, field programmable gate array (FPGA) becomes a mainstream technology to design a complex system. The designed modules are named as intellectual property (IP) cores. In this paper, we consider both misappropriation of hardware devices and software IPs in edge computing and propose a PUF-based IP copyright anonymous authentication scheme. The scheme utilizes the double physical unclonable function (PUF) authentication model. Both the parties generate the challenge jointly in authentication to avoid replay attack and modeling attack on PUF circuit. The complexity of authentication is greatly reduced. Besides, the server of FPGA vendor is unnecessary to store all the challenge response pairs (CRPs) of each PUF-based chip due to the use of the double PUF authentication model. It saves the system resource and achieves better security. To protect software IP, IP core vendor inserts copyright information and anonymous buyer identity information into the design before trading. The anonymity of the buyer ensures the benefits of the buyer. With the participation of trustable device vendor, infringement behavior can be traced according to extracted fingerprints. The experiments show that the resource overhead of the proposed scheme is reduced by 61.96% and 31.61% by comparing with 2-1 DAPUF and built-in self-adjustable PUF. Besides, PUF stability is 99.54%. It demonstrates the good performance of the proposed scheme.

PUF-Based Anonymous Authentication Scheme for Hardware Devices and IPs in Edge Computing Environment