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\u52a0\u5dde\u5927\u5b66\u6cb3\u6ee8\u5206\u6821\u6559\u6388\u5c39\u6052 <\/figcaption><\/figure><\/div>\n\n\n\n

\u52a0\u5dde\u5927\u5b66\u6cb3\u6ee8\u5206\u6821\u6559\u6388\u5c39\u6052\u4f5c\u4e86\u300aFirm-AFL: High-Throughput Greybox Fuzzing of IoT\u300b\u7684\u62a5\u544a\uff0c\u4ed6\u4ecb\u7ecd\u4e86Firm-AFL, \u7b2c\u4e00\u4e2a\u9488\u5bf9\u7269\u8054\u7f51\u56fa\u4ef6\u7684\u9ad8\u6027\u80fd\u6a21\u7cca\u6d4b\u8bd5\uff0c Firm-AFL\u4e3b\u8981\u89e3\u51b3\u4e86\u9488\u5bf9\u7269\u8054\u7f51\u8bbe\u5907\u7684\u6a21\u7cca\u6d4b\u8bd5\u9762\u4e34\u7684\u4e24\u4e2a\u95ee\u9898\uff0c\u7b2c\u4e00\uff0cFirm-AFL\u5229\u7528\u7cfb\u7edf\u4eff\u771f\u8fd9\u4e00\u6280\u672f\u89e3\u51b3\u4e86\u6a21\u7cca\u6d4b\u8bd5\u5728\u5e94\u7528\u4e8ePOSIX\u6a21\u578b\u517c\u5bb9\u7684\u786c\u4ef6\u8bbe\u5907\u65f6\u7684\u4e0d\u517c\u5bb9\u95ee\u9898\uff0c \u7b2c\u4e8c\uff0c Firm-AFL\u5229\u7528\u589e\u5f3a\u5f0f\u8fdb\u7a0b\u4eff\u771f(augmented process emulation)\u8fd9\u4e00\u5168\u65b0\u6280\u672f\u89e3\u51b3\u4e86\u7cfb\u7edf\u4eff\u771f(system mode emulation)\u5e26\u6765\u7684\u6027\u80fd\u74f6\u9888\u3002\u589e\u5f3a\u5f0f\u8fdb\u7a0b\u4eff\u771f\u5c06\u7cfb\u7edf\u4eff\u771f(system mode emulation)\u4e0e\u7528\u6237\u6001\u4eff\u771f(user mode emulation)\u7684\u4f18\u52bf\u521b\u65b0\u6027\u7684\u7ed3\u5408\u5728\u4e00\u8d77\uff0c \u4ece\u800c\u540c\u65f6\u63d0\u4f9b\u4e86\u7cfb\u7edf\u4eff\u771f(system mode emulation)\u5e26\u6765\u7684\u9ad8\u517c\u5bb9\u6027\u548c\u7528\u6237\u6001\u4eff\u771f(user mode emulation)\u5e26\u6765\u7684\u9ad8\u6027\u80fd\u8fd9\u4e24\u5927\u4f18\u52bf\u3002<\/p>\n\n\n\n

\"\"
\u6e05\u534e\u5927\u5b66\u7f51\u7edc\u79d1\u5b66\u548c\u7f51\u7edc\u7a7a\u95f4\u7814\u7a76\u9662\u526f\u6559\u6388\u5f20\u8d85\u4e3b\u6301\u4f1a\u8bae <\/figcaption><\/figure><\/div>\n\n\n\n
\"\"
\u5609\u5bbe\u5408\u5f71<\/strong> <\/figcaption><\/figure><\/div>\n\n\n\n


<\/p>\n","protected":false},"excerpt":{"rendered":"

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