Deformation transformation of dictionary using string transformation rules is an effective method for secure string recovery. However, the processing of rules is complicated, and the existing methods are based on software implementation. Aiming at the practical requirements of processing performance and power consumption, a rule processing architecture based on distributed platform is proposed. For the first time, the rule processing is accelerated by FPGA hardware, and the rule processing is further accelerated by splitting complex rule combinations into parallel nodes. The experimental results on the ant cluster system show that the rule processing system adopting this architecture meets the actual needs, and the performance and energy efficiency are significantly improved in comparison to CPU and GPU, indicating the effectiveness of this distributed rule processing architecture.