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\"KnowHow\uff1a\u9762\u5411\u53ef\u89e3\u91ca\u4e14\u51c6\u786e\u6eaf\u6e90\u5206\u6790\u7684\u9ad8\u5c42CTI\u77e5\u8bc6\u81ea\u52a8\u5e94\u7528\u65b9\u6cd5\"\/<\/p>\n

\n

\u539f\u6587\u6807\u9898\uff1aKnowHow: Automatically Applying High-Level CTI Knowledge for Interpretable and Accurate Provenance Analysis<\/em><\/p>\n<\/p>\n

\u539f\u6587\u4f5c\u8005\uff1aYuhan Meng, Shaofei Li, Jiaping Gui, Peng Jiang, Ding Li<\/em><\/p>\n

\u53d1\u8868\u4f1a\u8bae\uff1aNDSS 2026<\/em><\/p>\n

\u7b14\u8bb0\u4f5c\u8005\uff1a\u9f99\u51fd\u57ce<\/em><\/p>\n

\u4e3b\u7f16\uff1a\u9ec4\u8bda@\u5b89\u5168\u5b66\u672f\u5708<\/em><\/p>\n<\/blockquote>\n

\u7814\u7a76\u6982\u8ff0<\/h2>\n

\u9ad8\u7ea7\u6301\u7eed\u6027\u5a01\u80c1\uff08APT\uff09\u653b\u51fb\u901a\u5e38\u5177\u6709\u6f5c\u4f0f\u65f6\u95f4\u957f\u3001\u653b\u51fb\u9636\u6bb5\u591a\u3001\u884c\u4e3a\u94fe\u6761\u590d\u6742\u7b49\u7279\u70b9\u3002\u8fd9\u4f7f\u5f97\u4ec5\u4f9d\u8d56\u5355\u70b9\u544a\u8b66\u3001\u7b80\u5355\u89c4\u5219\u5339\u914d\u6216\u7eaf\u6570\u636e\u9a71\u52a8\u5f02\u5e38\u68c0\u6d4b\u7684\u65b9\u6cd5\u5f88\u96be\u51c6\u786e\u8fd8\u539f\u653b\u51fb\u8fc7\u7a0b\u3002\u73b0\u6709\u6eaf\u6e90\u5206\u6790\u65b9\u6cd5\u867d\u7136\u80fd\u591f\u4ece\u7cfb\u7edf\u4e8b\u4ef6\u4e2d\u6316\u6398\u653b\u51fb\u75d5\u8ff9\uff0c\u4f46\u5f80\u5f80\u9762\u4e34\u4e24\u4e2a\u7a81\u51fa\u95ee\u9898\uff1a\u4e00\u662f\u8bef\u62a5\u8f83\u591a\uff0c\u4e8c\u662f\u68c0\u6d4b\u7ed3\u679c\u7f3a\u4e4f\u53ef\u89e3\u91ca\u6027\uff0c\u5b89\u5168\u5206\u6790\u4eba\u5458\u5f80\u5f80\u53ea\u80fd\u770b\u5230\u82e5\u5e72\u5f02\u5e38\u8282\u70b9\u6216\u5f02\u5e38\u8def\u5f84\uff0c\u5374\u96be\u4ee5\u7406\u89e3\u8fd9\u4e9b\u7ed3\u679c\u5206\u522b\u5bf9\u5e94\u4ec0\u4e48\u653b\u51fb\u6280\u672f\u3001\u5904\u4e8e\u653b\u51fb\u94fe\u7684\u54ea\u4e2a\u9636\u6bb5\u3002<\/p>\n

\u53e6\u4e00\u65b9\u9762\uff0c\u7f51\u7edc\u5a01\u80c1\u60c5\u62a5\uff08CTI\uff09\u4e2d\u5305\u542b\u5927\u91cf\u9ad8\u5c42\u653b\u51fb\u77e5\u8bc6\uff0c\u4f8b\u5982\u653b\u51fb\u8005\u4f7f\u7528\u7684\u6280\u672f\u3001\u64cd\u4f5c\u5bf9\u8c61\u3001\u884c\u4e3a\u76ee\u6807\u4ee5\u53ca\u653b\u51fb\u9636\u6bb5\u5173\u7cfb\u3002\u8fd9\u4e9b\u77e5\u8bc6\u5929\u7136\u9002\u5408\u7528\u4e8eAPT\u5206\u6790\uff0c\u4f46\u95ee\u9898\u5728\u4e8e\uff0cCTI\u901a\u5e38\u4ee5\u81ea\u7136\u8bed\u8a00\u5f62\u5f0f\u5b58\u5728\uff0c\u800c\u5b9e\u9645\u68c0\u6d4b\u7cfb\u7edf\u5904\u7406\u7684\u5374\u662f\u6587\u4ef6\u8bbf\u95ee\u3001\u547d\u4ee4\u6267\u884c\u3001\u7f51\u7edc\u8fde\u63a5\u7b49\u4f4e\u5c42\u7cfb\u7edf\u4e8b\u4ef6\uff0c\u4e24\u8005\u4e4b\u95f4\u5b58\u5728\u660e\u663e\u7684\u8bed\u4e49\u9e3f\u6c9f\u3002\u4f20\u7edfIoC\u9a71\u52a8\u65b9\u6cd5\u5927\u591a\u53ea\u5173\u6ce8\u6587\u4ef6\u540d\u3001IP\u5730\u5740\u3001\u54c8\u5e0c\u503c\u7b49\u5177\u4f53\u6307\u6807\uff0c\u5bf9\u653b\u51fb\u53d8\u4f53\u548c\u8de8\u73af\u5883\u573a\u666f\u7684\u9002\u5e94\u80fd\u529b\u8f83\u5f31\uff1b\u800c\u4f9d\u8d56\u4eba\u5de5\u89c4\u5219\u7684\u9ad8\u5c42\u77e5\u8bc6\u65b9\u6cd5\u53c8\u901a\u5e38\u6784\u5efa\u6210\u672c\u9ad8\u3001\u53ef\u6269\u5c55\u6027\u4e0d\u8db3\u3002<\/p>\n

\u9488\u5bf9\u4e0a\u8ff0\u95ee\u9898\uff0c\u672c\u6587\u63d0\u51faKNOWHOW\uff0c\u4e00\u79cd\u9762\u5411\u5728\u7ebf\u6eaf\u6e90\u5206\u6790\u7684CTI\u77e5\u8bc6\u9a71\u52a8\u65b9\u6cd5\uff0c\u65e8\u5728\u81ea\u52a8\u5c06CTI\u62a5\u544a\u4e2d\u7684\u9ad8\u5c42\u653b\u51fb\u77e5\u8bc6\u5e94\u7528\u5230\u5e95\u5c42\u7cfb\u7edf\u4e8b\u4ef6\u68c0\u6d4b\u4e2d\u3002\u8be5\u65b9\u6cd5\u7684\u6838\u5fc3\u601d\u60f3\u662f\uff1a\u9996\u5148\u4eceCTI\u62a5\u544a\u4e2d\u62bd\u53d6\u53ef\u7528\u4e8e\u68c0\u6d4b\u7684\u9ad8\u5c42\u653b\u51fb\u77e5\u8bc6\uff0c\u5e76\u6784\u5efaCTI Knowledge Database\uff08CKD\uff09\uff1b\u968f\u540e\uff0c\u901a\u8fc7\u63d0\u51fa\u7684gIoC\uff08General Indicator of Compromise\uff09\u8868\u793a\uff0c\u5c06\u653b\u51fb\u77e5\u8bc6\u62bd\u8c61\u4e3a\u201c\u8c01\u5bf9\u4ec0\u4e48\u5bf9\u8c61\u6267\u884c\u4e86\u4ec0\u4e48\u64cd\u4f5c\u201d\uff1b\u6700\u540e\uff0c\u518d\u5c06\u5e95\u5c42\u7cfb\u7edf\u4e8b\u4ef6\u8fdb\u884c\u8bed\u4e49\u63d0\u5347\uff0c\u4e0egIoC\u8fdb\u884c\u6a21\u7cca\u5339\u914d\uff0c\u5e76\u7ed3\u5408APT\u653b\u51fb\u751f\u547d\u5468\u671f\u7684\u9636\u6bb5\u903b\u8f91\u5b8c\u6210\u653b\u51fb\u63a8\u7406\uff0c\u4ece\u800c\u5b9e\u73b0\u5bf9APT\u653b\u51fb\u7684\u51c6\u786e\u68c0\u6d4b\u4e0e\u53ef\u89e3\u91ca\u5206\u6790\u3002<\/p>\n

\"KnowHow\uff1a\u9762\u5411\u53ef\u89e3\u91ca\u4e14\u51c6\u786e\u6eaf\u6e90\u5206\u6790\u7684\u9ad8\u5c42CTI\u77e5\u8bc6\u81ea\u52a8\u5e94\u7528\u65b9\u6cd5\"\/<\/p>\n

\u56fe 1 KNOWHOW \u65b9\u6cd5\u6574\u4f53\u67b6\u6784<\/p>\n

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\u4e0e\u4f20\u7edf\u57fa\u4e8e\u7edf\u8ba1\u5f02\u5e38\u5206\u6570\u7684\u65b9\u6cd5\u4e0d\u540c\uff0cKNOWHOW\u66f4\u5f3a\u8c03\u57fa\u4e8e\u77e5\u8bc6\u7684\u89e3\u91ca\u6027\u68c0\u6d4b\u3002\u5b83\u4e0d\u662f\u7b80\u5355\u5224\u65ad\u67d0\u4e2a\u4e8b\u4ef6\u662f\u5426\u5f02\u5e38\uff0c\u800c\u662f\u8fdb\u4e00\u6b65\u56de\u7b54\uff1a\u8be5\u4e8b\u4ef6\u547d\u4e2d\u4e86\u4ec0\u4e48\u653b\u51fb\u6280\u672f\u3001\u5c5e\u4e8eAPT\u94fe\u6761\u4e2d\u7684\u54ea\u4e2a\u9636\u6bb5\u3001\u4e3a\u4ec0\u4e48\u8fd9\u4e9b\u4e8b\u4ef6\u80fd\u591f\u5171\u540c\u6784\u6210\u4e00\u6b21\u53ef\u4fe1\u653b\u51fb\u3002\u8fd9\u79cd\u8bbe\u8ba1\u4f7f\u5f97\u7cfb\u7edf\u8f93\u51fa\u4e0d\u518d\u53ea\u662f\u4f4e\u5c42\u65e5\u5fd7\u7247\u6bb5\uff0c\u800c\u662f\u80fd\u591f\u5f62\u6210\u5e26\u6709\u6280\u672f\u8bed\u4e49\u548c\u653b\u51fb\u9636\u6bb5\u542b\u4e49\u7684\u68c0\u6d4b\u7ed3\u679c\uff0c\u4ece\u800c\u66f4\u8d34\u8fd1\u771f\u5b9e\u5b89\u5168\u8fd0\u8425\u573a\u666f\u7684\u5206\u6790\u9700\u6c42\u3002<\/p>\n

\u8d21\u732e\u5206\u6790<\/h2>\n
    \n
  • \n

    \u8d21\u732e\u70b91<\/strong> \uff1a\u63d0\u51fa\u9762\u5411APT\u68c0\u6d4b\u7684CTI\u77e5\u8bc6\u9a71\u52a8\u5728\u7ebf\u6eaf\u6e90\u5206\u6790\u6846\u67b6KNOWHOW<\/p>\n

    \u8bba\u6587\u63d0\u51fa\u4e86KNOWHOW\uff0c\u76ee\u6807\u5c06CTI\u62a5\u544a\u4e2d\u7684\u9ad8\u5c42\u653b\u51fb\u77e5\u8bc6\u81ea\u52a8\u5e94\u7528\u5230\u5e95\u5c42\u7cfb\u7edf\u4e8b\u4ef6\u68c0\u6d4b\u4e2d\uff0c\u5b9e\u73b0\u5bf9APT\u653b\u51fb\u7684\u5728\u7ebf\u3001\u51c6\u786e\u4e14\u53ef\u89e3\u91ca\u5206\u6790\u3002<\/p>\n<\/p>\n<\/li>\n

  • \n

    \u8d21\u732e\u70b92<\/strong> \uff1a\u63d0\u51fa\u65b0\u7684\u9ad8\u5c42\u653b\u51fb\u77e5\u8bc6\u8868\u793agIoC\uff0c\u5e76\u6784\u5efaCKD\u77e5\u8bc6\u5e93<\/p>\n

    \u4e3a\u4e86\u5f25\u5408CTI\u81ea\u7136\u8bed\u8a00\u63cf\u8ff0\u4e0e\u7cfb\u7edf\u5e95\u5c42\u4e8b\u4ef6\u4e4b\u95f4\u7684\u8bed\u4e49\u5dee\u8ddd\uff0c\u8bba\u6587\u63d0\u51fa\u4e86\u4e00\u4e2a\u65b0\u7684\u7d27\u51d1\u77e5\u8bc6\u8868\u793agIoC\uff0c\u7528\u4e8e\u523b\u753b\u9ad8\u5c42\u653b\u51fb\u77e5\u8bc6\u3002\u540c\u65f6\u6784\u5efa\u4e86\u65b0\u7684\u77e5\u8bc6\u5e93CKD\u5bf9\u8fd9\u4e9b\u77e5\u8bc6\u8fdb\u884c\u7edf\u4e00\u7ba1\u7406\u3002<\/p>\n<\/p>\n<\/li>\n

  • \n

    \u8d21\u732e\u70b93<\/strong> \uff1a\u8bbe\u8ba1\u57fa\u4e8eAPT\u751f\u547d\u5468\u671f\u9636\u6bb5\u7684\u653b\u51fb\u63a8\u7406\u65b9\u6cd5<\/p>\n

    \u5728\u5b8c\u6210\u4e8b\u4ef6\u4e0e\u77e5\u8bc6\u5339\u914d\u540e\uff0c\u8bba\u6587\u8fdb\u4e00\u6b65\u8bbe\u8ba1\u4e86\u65b0\u7684\u653b\u51fb\u63a8\u7406\u65b9\u6cd5\u3002\u8be5\u65b9\u6cd5\u57fa\u4e8e\u4eceCKD\u67e5\u8be2\u7ed3\u679c\u4e2d\u8bc6\u522b\u51fa\u7684ATT&CK\u6280\u672f\u53ca\u5176\u5bf9\u5e94\u7684APT\u653b\u51fb\u751f\u547d\u5468\u671f\u9636\u6bb5\uff0c\u5bf9\u5019\u9009\u653b\u51fb\u8def\u5f84\u8fdb\u884c\u63a8\u7406\u4e0e\u7b5b\u9009\u3002<\/p>\n<\/p>\n<\/li>\n

  • \n

    \u8d21\u732e\u70b94<\/strong> \uff1a\u5728\u516c\u5f00\u5e38\u7528\u6570\u636e\u96c6\u548c\u5de5\u4e1a\u6570\u636e\u96c6\u4e0a\u8fdb\u884c\u4e86\u7cfb\u7edf\u8bc4\u4f30<\/p>\n

    \u4f5c\u8005\u5bf9KNOWHOW\u5728\u591a\u4e2a\u5e7f\u6cdb\u4f7f\u7528\u7684\u6570\u636e\u96c6\u4ee5\u53ca\u5de5\u4e1a\u6570\u636e\u96c6\u4e0a\u8fdb\u884c\u4e86\u5168\u9762\u5b9e\u9a8c\u3002\u5b9e\u9a8c\u7ed3\u679c\u8868\u660e\uff0cKNOWHOW\u5728APT\u68c0\u6d4b\u4e2d\u80fd\u591f\u8f83\u597d\u6ee1\u8db3\u51c6\u786e\u3001\u6709\u6548\u4e14\u53ef\u89e3\u91ca\u7684\u8981\u6c42\u3002<\/p>\n<\/p>\n<\/li>\n

  • \n

    \u8d21\u732e\u70b95<\/strong> \uff1a\u5728OpenEuler\u751f\u6001\u4e2d\u5b8c\u6210\u771f\u5b9e\u5b89\u5168\u8fd0\u8425\u73af\u5883\u90e8\u7f72\u9a8c\u8bc1<\/p>\n

    \u9664\u4e86\u5b9e\u9a8c\u8bc4\u4f30\u5916\uff0cKNOWHOW\u5df2\u7ecf\u90e8\u7f72\u5728OpenEuler\u751f\u6001\u4e2d\u8fdb\u884c\u9a8c\u8bc1\uff0c\u8bf4\u660eKNOWHOW\u4e0d\u4ec5\u5177\u6709\u7814\u7a76\u4ef7\u503c\uff0c\u4e5f\u5177\u5907\u4e00\u5b9a\u7684\u5de5\u7a0b\u53ef\u843d\u5730\u6027\u3002<\/p>\n<\/p>\n<\/li>\n<\/ul>\n

    \u4ee3\u7801\u5206\u6790<\/h2>\n

    \u4ee3\u7801\u94fe\u63a5<\/p>\n

      \n
    • \n

      https:\/\/github.com\/myh0301\/KNOWHOW<\/p>\n<\/li>\n<\/ul>\n

        \n
      1. \n

        \u4f7f\u7528\u7c7b\u5e93\u5206\u6790<\/strong><\/p>\n

        \u8be5\u9879\u76ee\u6574\u4f53\u91c7\u7528Python\u5b9e\u73b0\uff0c\u5c5e\u4e8e\u5178\u578b\u7684\u5b89\u5168\u7814\u7a76\u539f\u578b\u4ee3\u7801\u3002<\/p>\n<\/p>\n<\/li>\n

      2. \n

        \u4ee3\u7801\u5b9e\u73b0\u96be\u5ea6\u4e0e\u5de5\u4f5c\u91cf\u8bc4\u4f30<\/strong><\/p>\n

        \u4ece\u5b9e\u73b0\u89d2\u5ea6\u770b\uff0c\u8be5\u9879\u76ee\u96be\u5ea6\u5c5e\u4e8e\u4e2d\u7b49\u504f\u4e0a\u3002\u5176\u96be\u70b9\u5728\u4e8e\u6574\u4f53\u6d41\u7a0b\u8f83\u957f\u4e0e\u6a21\u5757\u95f4\u4f9d\u8d56\u8f83\u5f3a\u3002\u4ee3\u7801\u4e0d\u4ec5\u8981\u5b8c\u6210CTI\u6587\u672c\u4e2d\u7684\u77e5\u8bc6\u62bd\u53d6\u4e0e\u8868\u793a\u6784\u5efa\uff0c\u8fd8\u8981\u5bf9\u5e95\u5c42\u7cfb\u7edf\u65e5\u5fd7\u8fdb\u884c\u8bed\u4e49\u589e\u5f3a\u548c\u6280\u672f\u6253\u6807\uff0c\u5e76\u8fdb\u4e00\u6b65\u5b8c\u6210\u544a\u8b66\u56fe\u6784\u5efa\u3001\u751f\u547d\u5468\u671f\u6620\u5c04\u4e0e\u7ed3\u679c\u8f93\u51fa\u3002<\/p>\n<\/p>\n<\/li>\n

      3. \n

        \u4ee3\u7801\u5173\u952e\u5b9e\u73b0\u529f\u80fd<\/strong><\/p>\n

        \uff081\uff09CTI\u77e5\u8bc6\u62bd\u53d6\u6a21\u5757\u3002\u8be5\u6a21\u5757\u7684\u4e3b\u8981\u529f\u80fd\u662f\u4eceCTI\u6587\u672c\u4e2d\u62bd\u53d6\u7ed3\u6784\u5316\u653b\u51fb\u77e5\u8bc6\uff0c\u5e76\u8f6c\u5316\u4e3a\u8bba\u6587\u4e2d\u7684gIoC\u8868\u793a\u3002gIoC \u91c7\u7528\u4e09\u5143\u7ec4\u7ed3\u6784\u6765\u8868\u793a\u653b\u51fb\u77e5\u8bc6\uff0c\u8fd9\u4e00\u6a21\u5757\u627f\u62c5\u4e86\u628a\u81ea\u7136\u8bed\u8a00\u5f62\u5f0f\u7684\u653b\u51fb\u63cf\u8ff0\u8f6c\u5316\u4e3a\u53ef\u8ba1\u7b97\u77e5\u8bc6\u8868\u793a\u7684\u4efb\u52a1\u3002<\/subject,><\/p>\n

        \uff082\uff09\u77e5\u8bc6\u5d4c\u5165\u4e0e\u8bed\u4e49\u5bf9\u9f50\u6a21\u5757\u3002\u5728\u62bd\u53d6\u5f97\u5230gIoC\u4e4b\u540e\uff0c\u7cfb\u7edf\u4f1a\u8fdb\u4e00\u6b65\u5bf9\u8fd9\u4e9b\u77e5\u8bc6\u8fdb\u884c\u8bed\u4e49\u7f16\u7801\uff0c\u5e76\u628a\u5b83\u4eec\u7ec4\u7ec7\u4e3a\u53ef\u4f9b\u67e5\u8be2\u548c\u5339\u914d\u7684\u77e5\u8bc6\u8868\u793a\u3002\u5176\u6838\u5fc3\u601d\u60f3\u662f\u628aCTI\u77e5\u8bc6\u4e0e\u7cfb\u7edf\u65e5\u5fd7\u90fd\u6620\u5c04\u5230\u7edf\u4e00\u8bed\u4e49\u7a7a\u95f4\u4e2d\uff0c\u518d\u901a\u8fc7\u76f8\u4f3c\u5ea6\u6bd4\u8f83\u5224\u65ad\u65e5\u5fd7\u4e2d\u662f\u5426\u5b58\u5728\u5a01\u80c1\u884c\u4e3a\u3002<\/p>\n

        \uff083\uff09\u7cfb\u7edf\u65e5\u5fd7\u8bed\u4e49\u589e\u5f3a\u4e0e\u5f02\u5e38\u4e8b\u4ef6\u68c0\u6d4b\u6a21\u5757\u3002\u8be5\u6a21\u5757\u9762\u5411\u5e95\u5c42\u7cfb\u7edf\u65e5\u5fd7\uff0c\u5bf9\u539f\u59cb\u4e8b\u4ef6\u8fdb\u884c\u8bed\u4e49\u589e\u5f3a\u548c\u6807\u51c6\u5316\u5904\u7406\uff0c\u518d\u7ed3\u5408\u524d\u9762\u5f97\u5230\u7684\u77e5\u8bc6\u8868\u793a\u8fdb\u884c\u6bd4\u5bf9\uff0c\u4ece\u800c\u8bc6\u522b\u6f5c\u5728\u653b\u51fb\u884c\u4e3a\u3002<\/p>\n

        \uff084\uff09\u6eaf\u6e90\u56fe\u6784\u5efa\u4e0e\u4e8b\u4ef6\u7ea7\u544a\u8b66\u751f\u6210\u6a21\u5757\u3002\u5728\u5b8c\u6210\u5355\u6761\u65e5\u5fd7\u4e8b\u4ef6\u68c0\u6d4b\u540e\uff0c\u7cfb\u7edf\u4f1a\u8fdb\u4e00\u6b65\u5c06\u76f8\u5173\u4e8b\u4ef6\u7ec4\u7ec7\u6210\u56fe\u7ed3\u6784\uff0c\u751f\u6210\u4e8b\u4ef6\u7ea7\u544a\u8b66\u548c\u5019\u9009\u653b\u51fb\u94fe\u3002<\/p>\n

        \uff085\uff09APT\u751f\u547d\u5468\u671f\u63a8\u7406\u4e0e\u544a\u8b66\u53bb\u566a\u6a21\u5757\u3002\u5728\u56fe\u6784\u5efa\u57fa\u7840\u4e0a\uff0c\u7cfb\u7edf\u8fd8\u4f1a\u7ed3\u5408APT\u653b\u51fb\u751f\u547d\u5468\u671f\u5bf9\u5019\u9009\u544a\u8b66\u8fdb\u884c\u63a8\u7406\u3001\u7b5b\u9009\u548c\u91cd\u7ec4\uff0c\u4ee5\u9a8c\u8bc1\u5176\u662f\u5426\u7b26\u5408\u653b\u51fb\u94fe\u6761\u7684\u9636\u6bb5\u903b\u8f91\u3002\u8be5\u6a21\u5757\u8fdb\u4e00\u6b65\u63d0\u5347\u7ed3\u679c\u7684\u53ef\u89e3\u91ca\u6027\u548c\u53ef\u4fe1\u5ea6\uff0c\u4f7f\u6700\u7ec8\u544a\u8b66\u80fd\u591f\u4ee5\u66f4\u63a5\u8fd1\u771f\u5b9e\u653b\u51fb\u8fc7\u7a0b\u7684\u5f62\u5f0f\u5448\u73b0\uff0c\u5e76\u652f\u6301\u540e\u7eed\u653b\u51fb\u62a5\u544a\u751f\u6210\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n

        \u8bba\u6587\u70b9\u8bc4<\/h2>\n

        \u603b\u4f53\u6765\u770b\uff0c\u8fd9\u7bc7\u8bba\u6587\u7684\u4ef7\u503c\u5728\u4e8e\u5b83\u6293\u4f4f\u4e86\u4e00\u4e2a\u975e\u5e38\u5b9e\u9645\u7684\u95ee\u9898\uff1a\u5982\u4f55\u628aCTI\u62a5\u544a\u4e2d\u7684\u9ad8\u5c42\u653b\u51fb\u77e5\u8bc6\u771f\u6b63\u5e94\u7528\u5230\u5e95\u5c42\u7cfb\u7edf\u4e8b\u4ef6\u68c0\u6d4b\u4e2d\u3002\u76f8\u6bd4\u4f20\u7edf\u6570\u636e\u9a71\u52a8\u65b9\u6cd5\u5bb9\u6613\u4ea7\u751f\u8bef\u62a5\u3001\u7ed3\u679c\u96be\u4ee5\u89e3\u91ca\u7684\u95ee\u9898\uff0cKNOWHOW\u628a\u81ea\u7136\u8bed\u8a00\u5f62\u5f0f\u7684\u653b\u51fb\u77e5\u8bc6\u8f6c\u5316\u4e3a\u53ef\u7528\u4e8e\u5b9e\u9645\u68c0\u6d4b\u7684\u7ed3\u6784\u5316\u4fe1\u606f\uff0c\u56e0\u6b64\u6574\u4f53\u601d\u8def\u6bd4\u8f83\u6e05\u6670\uff0c\u4e5f\u66f4\u8d34\u8fd1\u771f\u5b9e\u5b89\u5168\u5206\u6790\u573a\u666f\u3002<\/p>\n

        \u4ece\u65b9\u6cd5\u8bbe\u8ba1\u4e0a\u770b\uff0c\u8bba\u6587\u6700\u7a81\u51fa\u7684\u4eae\u70b9\u6709\u4e24\u4e2a\u3002\u7b2c\u4e00\u662f\u63d0\u51fa\u4e86gIoC\u8fd9\u79cd\u4e2d\u95f4\u8868\u793a\uff0c\u7528\u6765\u63cf\u8ff0\u653b\u51fb\u4e3b\u4f53\u3001\u52a8\u4f5c\u548c\u76ee\u6807\uff0c\u4ece\u800c\u589e\u5f3a\u4e86CTI\u77e5\u8bc6\u7684\u53ef\u8ba1\u7b97\u6027\u548c\u6cdb\u5316\u80fd\u529b\uff1b\u7b2c\u4e8c\u662f\u5f15\u5165APT\u653b\u51fb\u751f\u547d\u5468\u671f\u8fdb\u884c\u653b\u51fb\u63a8\u7406\uff0c\u4e0d\u4ec5\u5224\u65ad\u4e8b\u4ef6\u662f\u5426\u53ef\u7591\uff0c\u8fd8\u8fdb\u4e00\u6b65\u5206\u6790\u5176\u662f\u5426\u7b26\u5408\u653b\u51fb\u94fe\u6761\u7684\u9636\u6bb5\u903b\u8f91\u3002\u8fd9\u6837\u4e00\u6765\uff0c\u7cfb\u7edf\u8f93\u51fa\u7684\u4e0d\u518d\u53ea\u662f\u96f6\u6563\u5f02\u5e38\u4e8b\u4ef6\uff0c\u800c\u662f\u66f4\u5177\u4e0a\u4e0b\u6587\u548c\u89e3\u91ca\u6027\u7684\u653b\u51fb\u7ed3\u679c\uff0c\u8fd9\u4e00\u70b9\u6bd4\u5355\u7eaf\u7684\u5f02\u5e38\u68c0\u6d4b\u66f4\u6709\u5b9e\u9645\u610f\u4e49\u3002<\/p>\n

        \u4e0d\u8fc7\uff0c\u8fd9\u7bc7\u8bba\u6587\u4e5f\u5b58\u5728\u4e00\u5b9a\u5c40\u9650\u3002\u5176\u65b9\u6cd5\u672c\u8d28\u4e0a\u4ecd\u7136\u4f9d\u8d56\u5df2\u6709CTI\u77e5\u8bc6\u5e93\u7684\u8986\u76d6\u8303\u56f4\uff0c\u56e0\u6b64\u9762\u5bf9\u4e0e\u73b0\u6709\u77e5\u8bc6\u5dee\u5f02\u8f83\u5927\u7684\u5168\u65b0\u653b\u51fb\u65f6\uff0c\u68c0\u6d4b\u80fd\u529b\u53ef\u80fd\u4f1a\u53d7\u5230\u5f71\u54cd\uff1b\u540c\u65f6\uff0c\u771f\u5b9e\u73af\u5883\u4e2d\u7684\u9ad8\u98ce\u9669\u5408\u6cd5\u884c\u4e3a\u4e0e\u653b\u51fb\u884c\u4e3a\u4e4b\u95f4\u5f80\u5f80\u8fb9\u754c\u6a21\u7cca\uff0c\u8fd9\u4e5f\u4f7f\u7cfb\u7edf\u5728\u5f00\u653e\u573a\u666f\u4e0b\u4ecd\u53ef\u80fd\u51fa\u73b0\u8bef\u62a5\u3002<\/p>\n

        \u8bba\u6587\u6587\u732e<\/h2>\n

        Meng, et al. \u201cKnowHow: Automatically Applying High-Level CTI Knowledge for Interpretable and Accurate Provenance Analysis.\u201d Network and Distributed System Security Symposium (NDSS 2026). 2026.<\/p>\n<\/p>\n

        \n

        \u5b89\u5168\u5b66\u672f\u5708\u62db\u52df\u961f\u53cb-ing<\/p>\n<\/p>\n

        \u6709\u5174\u8da3\u52a0\u5165\u5b66\u672f\u5708\u7684\u8bf7\u8054\u7cfb secdr#qq.com<\/strong><\/p>\n<\/blockquote>\n

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