Lightweight Heterogeneous Secure Function Computing Acceleration Framework

Currently,data has become a crucial strategic resource,and data mining and analysis technologies play an important role in various industries.However,there are risks of data leakage in the process of data mining and analysis.Secure function evaluation(SFE in short) can perform computation of arbitrary functions while ensuring data security.Yao’s protocol is a protocol used for secure function computation,which involves a significant amount of encryption and decryption operations in the garbled circuit(GC) generation and evaluation phases.It has high computational overhead in the oblivious transfer(OT) phase,making it challenging to meet the demands of complex real-world applications.Aimed at the efficiency issues of Yao’s protocol,heterogeneous computing based on field programmable gate array(FPGA) accelerates the Yao’s protocol and combines the proposed lightweight proxy oblivious transfer protocol,ultimately designing a lightweight heterogeneous secure computation acceleration framework.In this solution,a CPU-FPGA heterogeneous computing architecture is implemented for both the garbled circuit generation and the proxy computation tasks.This architecture leverages the advantages of CPU in handling control flow and the parallel processing capabilities of FPGA to accelerate the garbled circuit generation and evaluation phases,increasing the efficiency of generating and evaluating garbled circuits and reducing computational pressure.In addition,compared to the oblivious transfer protocol implemented through asymmetric cryptographic algorithms,in the lightweight proxy oblivious transfer protocol,only symmetric operations are required for the garbled circuit generator and the proxy calculator.The proxy calculator can then obtain the random number held by the generator corresponding to the user’s input.This lightweight proxy oblivious transfer protocol alleviates the computational pressure on the user and the server during the oblivious transfer phase.Experimental results show that in a local area network environment,compared to software implementation of Yao’s protocol(TinyGarble framework),our solution improves computational efficiency by at least 128 times.