Guiding Software Evolution with Binary Diversity
IEEE National Aerospace and Electronics Conference(2018)
摘要
Zero-day vulnerabilities offer unique vectors for breaking software integrity such as adding malicious code to software distributed to hardware or clients. We propose a novel method of generating immune software variants from binary files in a semi-guided environment where the solution and vulnerability are unknown. We analyze this process on programs of varying complexity.
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关键词
Genetic Algorithms,Genetic Programming,Malware,Trojans,Binary codes,Security,Assembly Code
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