基于二进制熵的加解密函数定位方法

Long Long Jiao, Sen Lin Luo, Yong Ding, Li Min Pan*, Ji Zhang

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

摘要

To solve the accurate problem of cryptographic function location for fuzz testing of binary program, a location method based on binary entropy was proposed. Firstly, instruction features of binary program were modeled to locate key code. Then binary entropy of data handled before and after key code was calculated. Finally, the cryptographic function was located according to binary entropy relationship before and after key code. Experimental results show that this method can locate cryptographic functions in binary program effectively and the accurate rate is more than 99%. This method can enhance the ability of fuzz testing.

投稿的翻译标题Cryptographic Function Location Based on Binary Entropy
源语言繁体中文
页(从-至)1163-1167
页数5
期刊Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
38
11
DOI
出版状态已出版 - 1 11月 2018

关键词

  • Binary entropy
  • Binary program
  • Cryptographic function location
  • Fuzz testing

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