machine learning

最近想看看binary diffing的内容，直接从头看看一篇篇翻，涉及到很多机器学习内容，很多不懂的，慢慢来看吧。这里先看了10几篇，很多都只看了一个摘要。 主要是了解一下思路，看看这个领域的内容的研究历史，Binary Diffing 1暂时只看到2016年的paper，后续继续更新，主要文章引用如下

• Bitshred: feature hashing malware for scalable triage and semantic analysis.
• Binary function clustering using semantic hashes.
• Binslayer: accurate comparison of binary executables.
• Control flow-based malware variant detection.
• {MutantX-S}: Scalable Malware Clustering Based on Static Features.
• Semantics-based obfuscation-resilient binary code similarity comparison with applications to software plagiarism detection.
• Leveraging semantic signatures for bug search in binary programs.
• Cross-architecture bug search in binary executables.
• Bingo: Crossarchitecture cross-os binary search.
• Statistical similarity of binaries.
• discovRE: Efficient Cross-Architecture Identification of Bugs in Binary Code.
• Scalable Graph-based Bug Search for Firmware Images.
• Crossarchitecture binary semantics understanding via similar code comparison.