[PDF][PDF] Statistical Structures: Tolerant fingerprinting for classification and analysis
D Bilar - Las Vegas, NV. Blackhat Briefings USA, 2006 - Citeseer
Statically disassemble the binary, tabulate the opcode frequencies and construct a statistical
fingerprint with a subset of said opcodes. Goal: Compare opcode fingerprint across
nonmalicious software and malware classes for quick identification (and later classification)
purposes. Main result:'Rare'opcodes explain more data variation then common ones
fingerprint with a subset of said opcodes. Goal: Compare opcode fingerprint across
nonmalicious software and malware classes for quick identification (and later classification)
purposes. Main result:'Rare'opcodes explain more data variation then common ones
以上显示的是最相近的搜索结果。 查看全部搜索结果