FPGA Software Security Testing Excitation Random Generation Based on SFMEA and SFTA

Ying-chao Wang, Wei Liu, Peng Chen, Cong Zhang, Chunjingming Li
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Abstract

According to the analysis and research of SFMEA and SFTA technology, this paper provides an FPGA software security test excitation random generation technology based on SFMEA and SFTA reverse synthesis. Firstly, establish the FPGA software fault tree through SFTA. Secondly, the SFMEA is performed for the important bottom event, analyze the potential fault effect and supplement the fault tree. Then refine the test constraints according to the bottom event. Finally generate the security random test stimulus using the verification language. This technology can effectively improve the sufficiency of FPGA software security testing, standardize the testing process, and ultimately improve software security and ensure software quality.
基于SFMEA和SFTA的FPGA软件安全测试激励随机生成
在对SFMEA和SFTA技术进行分析研究的基础上,提出了一种基于SFMEA和SFTA反向合成的FPGA软件安全测试激励随机生成技术。首先,通过SFTA建立FPGA软件故障树。其次,对重要的底层事件进行SFMEA分析,分析潜在的故障影响,并对故障树进行补充;然后根据底部事件细化测试约束。最后利用验证语言生成安全随机测试激励。该技术可有效提高FPGA软件安全测试的充分性,规范测试流程,最终提高软件安全性,保证软件质量。
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