基于现场的网络设备图像特征匹配研究

Juan Fang, Qi Yue, Jianhua Wei, Junjie Mao
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引用次数: 0

摘要

针对网络设备固件映像反向分析中软硬件信息的识别问题,提出了一种基于现场匹配特征的固件头解析方案。通过对固件头的分析得到特征值并建立特征库,然后利用匹配字段来识别固件头的特征信息,然后描述了基本思路和具体实现流程。实验结果表明,该方案能较准确地得到分析结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Feature Matching of the Field-Based Network Equipment Image
To the problem that the identify of software and hardware information in the reverse analysis of Network equipment firmware image, a firmware header parsing scheme based on matching features of the field has been proposed. Through the analysis of the firmware header got feature values and build signature database, then use matching fields to identify the characteristics firmware header information, and then describes the basic ideas and concrete implementation flow. Experimental results show that the scheme can be obtained analytical results more accurately.
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