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Binary Program Statistical Features Hiding through Huffman Obfuscated Coding

机译:二进制程序统计特征隐藏通过霍夫曼混淆编码

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Mutants produced by current metamorphic engine are divers, but they still contain shortcomings that reliably distinguish them from normal program. This paper introduces a novel binary obfuscation technique with the potential of evading both statistical and semantic detections. It transforms the binary program into mimicry executables that exhibit high similarity to benign programs in terms of statistical properties and semantic characteristics. Experimental results show that the mimicry executables are indistinguishable from benign programs in byte frequency distribution and entropy, and no false instructions produced.
机译:电流变质引擎产生的突变体是潜水员,但它们仍然包含可靠地将它们与正常程序区分开的缺点。本文介绍了一种新型二元混淆技术,潜在的统计和语义检测。它将二进制程序转换为模拟性可执行文件,在统计属性和语义特征方面表现出与良性程序的高相似性。实验结果表明,模拟性可执行文件在字节频率分布和熵的良性程序中无法区分,并且没有产生虚假指令。

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