基于SFMEA和SFTA的FPGA软件安全测试激励随机生成

Ying-chao Wang, Wei Liu, Peng Chen, Cong Zhang, Chunjingming Li
{"title":"基于SFMEA和SFTA的FPGA软件安全测试激励随机生成","authors":"Ying-chao Wang, Wei Liu, Peng Chen, Cong Zhang, Chunjingming Li","doi":"10.1109/DSA.2019.00074","DOIUrl":null,"url":null,"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.","PeriodicalId":342719,"journal":{"name":"2019 6th International Conference on Dependable Systems and Their Applications (DSA)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"FPGA Software Security Testing Excitation Random Generation Based on SFMEA and SFTA\",\"authors\":\"Ying-chao Wang, Wei Liu, Peng Chen, Cong Zhang, Chunjingming Li\",\"doi\":\"10.1109/DSA.2019.00074\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":342719,\"journal\":{\"name\":\"2019 6th International Conference on Dependable Systems and Their Applications (DSA)\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 6th International Conference on Dependable Systems and Their Applications (DSA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DSA.2019.00074\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 6th International Conference on Dependable Systems and Their Applications (DSA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DSA.2019.00074","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
FPGA Software Security Testing Excitation Random Generation Based on SFMEA and SFTA
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Rational Design of the Appearance of Complex Industrial Products Based on Visual Communication Research on Anti-Noise Performance of New Chaos Criterion Research on Railway Intelligent Operation and Maintenance and Its System Architecture Research on Industrial Software Testing Knowledge Database Based on Ontology Research on Design and Verification of Sobel Image Edge Detection Based on High Level Synthesis
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1