Design and Implementation of a Domain Specific Rule Engine

Security strings are often needed in identity authentication mechanism. Security strings recovery is a reverse process, which does much calculations on a large amount of possible strings to find the right one, so that we can recover lost or forgotten strings and regain access to valuable information. In this reverse process, we need first process basic strings based on transformation rules, so as to generate new ones quickly. Rule processing is complex, which has high requirements for computing power, processing time, especially system power consumption. In response to the above requirements, this work puts forward the idea of accelerating the processing of rules using hardware for the first time, and a domain specific rule engine is designed and implemented on the existing FPGA platform. The experimental results show that the performance of the rule engine on a single Xilinx Zynq 7z030 FPGA is better than that of CPU, its performance power ratio is 3 times higher than that of GPU, and 50 times higher than that of CPU. The speed and energy efficiency of the rule processing is improved effectively.