{"id":115281,"date":"2026-10-11T19:17:07","date_gmt":"2026-10-11T11:17:07","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/115281.html"},"modified":"2026-10-11T19:17:07","modified_gmt":"2026-10-11T11:17:07","slug":"%e3%80%90%e4%bf%a1%e5%8f%b7%e6%94%bb%e5%87%bb%e3%80%91ddos%e5%88%86%e5%b8%83%e5%bc%8f%e6%8b%92%e7%bb%9d%e6%9c%8d%e5%8a%a1%e6%94%bb%e5%87%bb%e6%a3%80%e6%b5%8b%e4%bb%bf%e7%9c%9f%e3%80%90%e5%90%abmatlab","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/115281.html","title":{"rendered":"\u3010\u4fe1\u53f7\u653b\u51fb\u3011DDoS\u5206\u5e03\u5f0f\u62d2\u7edd\u670d\u52a1\u653b\u51fb\u68c0\u6d4b\u4eff\u771f\u3010\u542bMatlab\u6e90\u7801 16058\u671f\u3011"},"content":{"rendered":"<p>&#x1f4a5;&#x1f4a5;&#x1f4a5;&#x1f4a5;&#x1f4a5;&#x1f4a5;&#x1f4a5;&#x1f4a5;&#x1f49e;&#x1f49e;&#x1f49e;&#x1f49e;&#x1f49e;&#x1f49e;&#x1f49e;&#x1f49e;&#x1f49e;Matlab\u6b66\u52a8\u4e7e\u5764\u535a\u5ba2\u4e4b\u5bb6&#x1f49e;&#x1f49e;&#x1f49e;&#x1f49e;&#x1f49e;&#x1f49e;&#x1f49e;&#x1f49e;&#x1f49e;&#x1f4a5;&#x1f4a5;&#x1f4a5;&#x1f4a5;&#x1f4a5;&#x1f4a5;&#x1f4a5;&#x1f4a5; 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\u653b\u51fb\u6b21\u6570&#xff0c;\u989c\u8272 &#061; \u6d41\u91cf\u5927\u5c0f&#xff09;<\/p>\n<p>\u89c4\u5219\u68c0\u6d4b vs ML \u5b64\u7acb\u68ee\u6797\u68c0\u6d4b\u6307\u6807\u5bf9\u6bd4&#xff08;\u51c6\u786e\u7387\u3001\u7cbe\u786e\u7387\u3001\u53ec\u56de\u7387&#xff09;<\/p>\n<p>\u653b\u51fb\u6765\u6e90\u5730\u533a\u67f1\u72b6\u56fe<\/p>\n<p>\u4fdd\u7559 v2 \u5168\u90e8\u529f\u80fd&#xff1a;\u81ea\u9002\u5e94\u9608\u503c\u3001CSV \u65e5\u5fd7\u3001IP \u9ed1\u540d\u5355\u3001\u653b\u51fb IP \u6392\u884c\u3001\u58f0\u97f3\u544a\u8b66\u3001\u653b\u51fb\u65f6\u957f\u7edf\u8ba1\u3001\u534f\u8bae\u4eff\u771f\u3001\u4f1a\u8bdd\u8ba1\u65f6\u5668\u3001\u6700\u7ec8 txt \u62a5\u544a\u3002<\/p>\n<p>\u4e8c\u3001\u6574\u4f53\u6d41\u7a0b<\/p>\n<p>\u521d\u59cb\u5316\u53c2\u6570\u3001\u7edf\u8ba1\u53d8\u91cf\u3001\u4eff\u771f\u533a\u57df\u3001\u65e5\u5fd7\u6587\u4ef6<\/p>\n<p>\u521b\u5efa\u591a\u9762\u677f GUI \u4eea\u8868\u76d8&#xff08;\u5b9e\u65f6\u6d41\u91cf\u66f2\u7ebf\u3001\u5730\u7406\u70ed\u529b\u56fe\u3001\u72b6\u6001\u6587\u672c\u6846&#xff09;<\/p>\n<p>\u5faa\u73af\u4eff\u771f 50s \u7f51\u7edc\u6d41\u91cf&#xff1a;\u533a\u5206\u6b63\u5e38\u6d41\u91cf\u548c\u771f\u5b9e\u653b\u51fb\u65f6\u6bb5&#xff08;25~35s&#xff09;<\/p>\n<p>\u751f\u6210\u6d41\u91cf\u6570\u636e&#xff1a;\u653b\u51fb\u65f6\u6bb5\u751f\u6210\u591a\u4e2a bot \u653b\u51fb IP \u5e76\u5206\u644a\u6d41\u91cf&#xff1b;\u6b63\u5e38\u65f6\u6bb5\u5355 IP \u4f4e\u6d41\u91cf<\/p>\n<p>\u53cc\u68c0\u6d4b\u673a\u5236&#xff1a;<\/p>\n<p>\u89c4\u5219\u68c0\u6d4b&#xff1a;\u56fa\u5b9a\u9608\u503c &#043; \u6ed1\u52a8\u7a97\u53e3\u81ea\u9002\u5e94\u9608\u503c<\/p>\n<p>ML \u68c0\u6d4b&#xff1a;\u624b\u5199\u5b64\u7acb\u68ee\u6797&#xff0c;\u8ba1\u7b97\u5f02\u5e38\u5206\u6570\u5224\u65ad\u662f\u5426\u5f02\u5e38<\/p>\n<p>\u5b9e\u65f6\u66f4\u65b0\u4eea\u8868\u76d8\u7ed8\u56fe\u3001\u72b6\u6001\u6587\u672c\u3001\u5730\u7406\u6c14\u6ce1\u56fe&#xff1b;\u8d85\u8fc7\u9608\u503c\u89e6\u53d1\u544a\u8b66\u3001IP \u81ea\u52a8\u62c9\u9ed1<\/p>\n<p>\u6bcf\u8f6e\u5199\u5165 CSV \u6d41\u91cf\u65e5\u5fd7&#xff1b;\u5faa\u73af\u7ed3\u675f\u540e\u8ba1\u7b97\u6df7\u6dc6\u77e9\u9635\u6307\u6807&#xff0c;\u751f\u6210\u62a5\u544a\u3001\u591a\u5f20\u5206\u6790\u56fe\u8868<\/p>\n<p>\u4e09\u3001\u5206\u6bb5\u4ee3\u7801\u8be6\u7ec6\u89e3\u91ca<\/p>\n<li>\u521d\u59cb\u5316\u6e05\u7406<\/li>\n<p>matlab<\/p>\n<p>clc; clear; close all;<\/p>\n<p>\u6e05\u7a7a\u547d\u4ee4\u884c\u3001\u5de5\u4f5c\u533a\u53d8\u91cf\u3001\u5173\u95ed\u5df2\u6709\u56fe\u7a97\u3002<\/p>\n<li>\u5168\u5c40\u53c2\u6570\u8bbe\u7f6e<\/li>\n<p>matlab<\/p>\n<p>threshold &#061; 1000; %\u56fa\u5b9a\u9608\u503c&#xff1a;\u6570\u636e\u5305\/\u79d2<\/p>\n<p>blacklistLimit &#061; 3; %IP\u89e6\u53d13\u6b21\u653b\u51fb\u8bb0\u5f55\u81ea\u52a8\u62c9\u9ed1<\/p>\n<p>adaptiveWindow &#061; 8; %\u81ea\u9002\u5e94\u9608\u503c\u53d6\u6700\u8fd18\u4e2a\u6837\u672c<\/p>\n<p>mlAnomalyThresh &#061; 0.62; %\u5b64\u7acb\u68ee\u6797\u5206\u6570&gt;0.62\u5224\u5b9a\u5f02\u5e38<\/p>\n<p>isoTrees &#061; 50; %\u5b64\u7acb\u68ee\u6797\u6811\u6570\u91cf<\/p>\n<p>isoSampleSize &#061; 8; %\u6bcf\u68f5\u6811\u91c7\u6837\u6837\u672c\u6570\u91cf<\/p>\n<p>botMin &#061; 3; %\u653b\u51fb\u65f6\u6700\u5c113\u4e2a\u8089\u9e21IP<\/p>\n<p>botMax &#061; 6; %\u653b\u51fb\u65f6\u6700\u591a6\u4e2a\u8089\u9e21IP<\/p>\n<p>groundTruthStart &#061; 25;<\/p>\n<p>groundTruthEnd &#061; 35; %\u3010\u771f\u5b9e\u653b\u51fb\u57fa\u51c6\u301125~35\u79d2\u4e3a\u653b\u51fb\u7a97\u53e3&#xff0c;\u7528\u6765\u8bc4\u4f30\u68c0\u6d4b\u7b97\u6cd5\u597d\u574f<\/p>\n<p>groundTruth\u662f\u4eff\u771f\u7684\u771f\u5b9e\u6807\u7b7e&#xff0c;\u7528\u6765\u8ba1\u7b97 TP\/TN\/FP\/FN \u6df7\u6dc6\u77e9\u9635&#xff0c;\u8bc4\u4f30\u4e24\u79cd\u68c0\u6d4b\u5668\u6027\u80fd\u3002<\/p>\n<p>\u5404\u7c7b\u7edf\u8ba1\u8ba1\u6570\u5668&#xff1a;\u653b\u51fb\u6b21\u6570\u3001\u6b63\u5e38\u6d41\u91cf\u8ba1\u6570\u3001\u62c9\u9ed1 IP \u6570\u91cf\u3001\u6d41\u91cf\u5386\u53f2\u3001IP \u8fdd\u89c4\u8ba1\u6570\u3001\u9ed1\u540d\u5355\u3001TCP\/UDP\/ICMP \u534f\u8bae\u8ba1\u6570\u3001\u653b\u51fb\u6bb5\u8bb0\u5f55\u3001bot \u6570\u91cf\u5386\u53f2\u3002<\/p>\n<li>\u6a21\u62df\u5730\u7406\u533a\u57df GeoIP \u914d\u7f6e<\/li>\n<p>matlab<\/p>\n<p>regions &#061; {\u2018N. America\u2019,\u2018S. America\u2019,\u2018Europe\u2019,\u2018Africa\u2019,\u2018Asia\u2019,\u2018Oceania\u2019};<\/p>\n<p>regionOf &#061; &#064;(ip) mod(ip-1,6) &#043; 1; %IP\u6620\u5c04\u52306\u4e2a\u5730\u7406\u533a\u57df<\/p>\n<p>6 \u4e2a\u6a21\u62df\u5927\u6d32&#xff0c;\u6bcf\u4e2a IP \u6309\u54c8\u5e0c\u5206\u914d\u5230\u4e00\u4e2a\u533a\u57df&#xff1b;\u8bb0\u5f55\u6bcf\u4e2a\u533a\u57df\u7684\u653b\u51fb\u6b21\u6570\u3001\u603b\u6d41\u91cf\u3002<\/p>\n<p>\u6c14\u6ce1\u5927\u5c0f&#xff1a;\u8be5\u533a\u57df\u653b\u51fb\u8fdd\u89c4\u6b21\u6570<\/p>\n<p>\u6c14\u6ce1\u989c\u8272&#xff1a;\u8be5\u533a\u57df\u603b\u6d41\u91cf<\/p>\n<li>\u65e5\u5fd7\u6587\u4ef6\u521d\u59cb\u5316<\/li>\n<p>matlab<\/p>\n<p>logFile &#061; fopen(\u2018traffic_log.csv\u2019,\u2018w\u2019);<\/p>\n<p>\u521b\u5efa CSV \u65e5\u5fd7&#xff0c;\u8bb0\u5f55\u6bcf\u4e00\u65f6\u95f4\u6b65&#xff1a;\u65f6\u95f4\u3001\u6d41\u91cf\u3001\u6e90 IP\u3001\u5730\u533a\u3001\u534f\u8bae\u3001\u72b6\u6001\u3001\u4e25\u91cd\u7b49\u7ea7\u3001\u7f51\u7edc\u5065\u5eb7\u5ea6\u3001ML \u5f02\u5e38\u5206\u6570\u3001\u6d3b\u8dc3\u8089\u9e21\u6570\u91cf\u3002<\/p>\n<li>\u4eea\u8868\u76d8 GUI \u754c\u9762\u521b\u5efa<\/li>\n<p>\u753b\u5e03\u5206\u4e3a\u5de6\u53f3\u5e03\u5c40&#xff1a;<\/p>\n<p>\u5de6\u4e0a ax1&#xff1a;\u5b9e\u65f6\u6d41\u91cf\u76d1\u63a7\u56fe<\/p>\n<p>\u84dd\u8272\u5b9e\u7ebf&#xff1a;\u5b9e\u65f6\u6d41\u91cf<\/p>\n<p>\u6a59\u8272\u865a\u7ebf&#xff1a;\u81ea\u9002\u5e94\u9608\u503c&#xff08;\u6700\u8fd1\u7a97\u53e3\u5747\u503c &#043; 3 \u500d\u6807\u51c6\u5dee&#xff09;<\/p>\n<p>\u7ea2\u8272\u865a\u7ebf&#xff1a;\u56fa\u5b9a\u9608\u503c 1000 pkt\/s<\/p>\n<p>\u5de6\u4e0b ax2&#xff1a;GeoIP \u6c14\u6ce1\u70ed\u529b\u56fe<\/p>\n<p>\u6563\u70b9\u6c14\u6ce1\u56fe&#xff0c;6 \u4e2a\u533a\u57df&#xff0c;\u52a8\u6001\u66f4\u65b0\u6c14\u6ce1\u5927\u5c0f\u4e0e\u989c\u8272\u3002<\/p>\n<p>\u53f3\u4fa7\u4e00\u5217\u6587\u672c\u6846&#xff08;annotation&#xff09;<\/p>\n<p>\u5b9e\u65f6\u663e\u793a&#xff1a;\u8fd0\u884c\u72b6\u6001\u3001\u653b\u51fb\u4e25\u91cd\u7b49\u7ea7\u3001ML \u5f02\u5e38\u5206\u6570\u3001\u7f51\u7edc\u5065\u5eb7\u5ea6\u3001\u5df2\u62c9\u9ed1 IP \u6570\u91cf\u3001\u6d3b\u8dc3 bot \u6570\u91cf\u3001\u4eff\u771f\u8fd0\u884c\u65f6\u957f\u3002<\/p>\n<li>\u4e3b\u4eff\u771f\u5faa\u73af for t &#061; 1:50<\/li>\n<p>\u5faa\u73af\u6a21\u62df 50 \u4e2a\u65f6\u95f4\u6b65&#xff1a;<\/p>\n<p>6.1 \u6d41\u91cf\u4e0e IP \u751f\u6210<\/p>\n<p>\u771f\u5b9e\u653b\u51fb\u65f6\u6bb5&#xff08;25~35s&#xff09;&#xff1a;\u968f\u673a\u751f\u6210 3~6 \u4e2a\u4e0d\u540c\u653b\u51fb IP&#xff0c;\u603b\u6d41\u91cf 1500~2500 pkt\/s&#xff0c;\u6d41\u91cf\u6309\u968f\u673a\u6743\u91cd\u5206\u644a\u7ed9\u5404\u4e2a\u8089\u9e21 IP&#xff1b;\u8bb0\u5f55 bot \u6570\u91cf\u3002<\/p>\n<p>\u6b63\u5e38\u65f6\u6bb5&#xff1a;\u5355\u4e2a\u968f\u673a IP&#xff0c;\u6d41\u91cf 200~700 pkt\/s&#xff0c;\u4f4e\u8d1f\u8f7d\u3002<\/p>\n<p>6.2 \u81ea\u9002\u5e94\u9608\u503c\u8ba1\u7b97<\/p>\n<p>\u53d6\u6700\u8fd1adaptiveWindow&#061;8\u4e2a\u5386\u53f2\u6d41\u91cf\u6837\u672c&#xff1a;<\/p>\n<p>\u7528\u6765\u52a8\u6001\u66f4\u65b0\u6a59\u8272\u9608\u503c\u7ebf\u3002<\/p>\n<p>6.3 \u624b\u5199\u5b64\u7acb\u68ee\u6797 ML \u5f02\u5e38\u68c0\u6d4b<\/p>\n<p>\u8c03\u7528isoForestScore()\u51fd\u6570&#xff0c;\u7528\u5386\u53f2\u6d41\u91cf\u4f5c\u4e3a\u53c2\u8003\u6837\u672c&#xff0c;\u5bf9\u5f53\u524d\u6d41\u91cf\u8ba1\u7b97\u5f02\u5e38\u5206\u6570&#xff1a;<\/p>\n<p>\u5206\u6570\u63a5\u8fd1 1&#xff1a;\u9ad8\u5f02\u5e38&#xff08;DDoS&#xff09;<\/p>\n<p>0.5 \u9644\u8fd1&#xff1a;\u6b63\u5e38\u6d41\u91cf<\/p>\n<p>\u5224\u65ad\u89c4\u5219&#xff1a;mlScore&gt;0.62 \u2192 ML\u5224\u5b9a\u4e3a\u5f02\u5e38<\/p>\n<p>6.4 \u5cf0\u503c\u6d41\u91cf\u3001\u7f51\u7edc\u5065\u5eb7\u5ea6\u8ba1\u7b97<\/p>\n<p>\u7f51\u7edc\u5065\u5eb7\u5ea6&#xff1a;health &#061; max(0,100-round(traffic\/30))&#xff0c;\u6d41\u91cf\u8d8a\u9ad8\u5065\u5eb7\u5ea6\u8d8a\u4f4e\u3002<\/p>\n<p>6.5 \u89c4\u5219\u68c0\u6d4b\u544a\u8b66\u903b\u8f91<\/p>\n<p>traffic&gt;threshold(1000)\u5224\u5b9a\u4e3a\u653b\u51fb&#xff1a;<\/p>\n<p>\u6d41\u91cf &gt; 2000&#xff1a;\u9ad8\u98ce\u9669&#xff1b;1500~2000&#xff1a;\u4e2d\u98ce\u9669&#xff1b;\u5176\u4f59\u4f4e\u98ce\u9669<\/p>\n<p>\u6240\u6709\u53c2\u4e0e\u653b\u51fb\u7684 IP&#xff0c;\u8fdd\u89c4\u8ba1\u6570 &#043; 1&#xff1b;\u8fdd\u89c4\u6b21\u6570\u22653&#xff0c;\u81ea\u52a8\u52a0\u5165\u9ed1\u540d\u5355<\/p>\n<p>\u89e6\u53d1 beep \u8702\u9e23\u544a\u8b66&#xff0c;\u63a7\u5236\u53f0\u6253\u5370\u544a\u8b66\u4fe1\u606f&#xff0c;\u4eea\u8868\u76d8\u80cc\u666f\u53d8\u7ea2<\/p>\n<p>\u6b63\u5e38\u72b6\u6001\u4eea\u8868\u76d8\u80cc\u666f\u7eff\u8272<\/p>\n<p>6.6 \u6df7\u6dc6\u77e9\u9635\u66f4\u65b0&#xff08;\u6838\u5fc3\u8bc4\u4f30&#xff09;<\/p>\n<p>\u5206\u522b\u7ef4\u62a4\u4e24\u5957\u6df7\u6dc6\u77e9\u9635&#xff1a;<\/p>\n<p>\u89c4\u5219\u68c0\u6d4b\u5668&#xff08;\u56fa\u5b9a\u9608\u503c&#xff09;TP\/TN\/FP\/FN<\/p>\n<p>ML \u5b64\u7acb\u68ee\u6797\u68c0\u6d4b\u5668 TP2\/TN2\/FP2\/FN2<\/p>\n<p>\u5bf9\u6bd4\u68c0\u6d4b\u5668\u8f93\u51fa \u548c groundTruth&#xff08;25~35s \u771f\u5b9e\u653b\u51fb\u6807\u7b7e&#xff09;&#xff0c;\u7528\u6765\u8ba1\u7b97\u51c6\u786e\u7387\u3001\u7cbe\u786e\u7387\u3001\u53ec\u56de\u7387\u3002<\/p>\n<p>6.7 \u65e5\u5fd7\u5199\u5165<\/p>\n<p>\u653b\u51fb\u72b6\u6001&#xff1a;\u6bcf\u4e2a bot IP \u5355\u72ec\u4e00\u884c\u5199\u5165 CSV&#xff1b;\u6b63\u5e38\u72b6\u6001\u5355\u6761\u8bb0\u5f55\u3002\u968f\u673a\u5206\u914d TCP\/UDP\/ICMP \u534f\u8bae\u5e76\u7edf\u8ba1\u534f\u8bae\u6570\u91cf\u3002<\/p>\n<p>pause(0.3)\u63a7\u5236\u4eff\u771f\u901f\u5ea6&#xff0c;\u65b9\u4fbf\u89c2\u5bdf\u52a8\u753b\u3002<\/p>\n<li>\u5faa\u73af\u7ed3\u675f\u540e&#xff1a;\u6307\u6807\u8ba1\u7b97\u4e0e\u62a5\u544a\u5bfc\u51fa<\/li>\n<p>\u8ba1\u7b97&#xff1a;\u4e8b\u4ef6\u7edf\u8ba1\u3001\u5cf0\u503c\u6d41\u91cf\u3001botnet \u5e73\u5747 \/ \u6700\u5927\u8089\u9e21\u6570\u91cf\u3001\u4e24\u79cd\u68c0\u6d4b\u5668\u7684\u6027\u80fd\u6307\u6807\u3002<\/p>\n<p>\u8f93\u51fa&#xff1a;<\/p>\n<p>\u63a7\u5236\u53f0\u6253\u5370\u6700\u7ec8\u62a5\u544a<\/p>\n<p>\u5199\u5165final_report.txt\u6587\u672c\u62a5\u544a&#xff0c;\u5305\u542b\u5730\u533a\u653b\u51fb\u7edf\u8ba1\u3001\u534f\u8bae\u7edf\u8ba1<\/p>\n<li>\u6279\u91cf\u7ed8\u56fe&#xff08;\u591a\u4e2a\u72ec\u7acb Figure&#xff09;<\/li>\n<p>\u997c\u56fe&#xff1a;\u6b63\u5e38\u6d41\u91cf \/ \u653b\u51fb\u6d41\u91cf\u5360\u6bd4&#xff1b;TCP\/UDP\/ICMP \u534f\u8bae\u5360\u6bd4<\/p>\n<p>\u67f1\u72b6\u56fe&#xff1a;\u6b63\u5e38 \/ \u653b\u51fb\u4e8b\u4ef6\u8ba1\u6570&#xff1b;Top5 \u653b\u51fb IP \u8fdd\u89c4\u6b21\u6570&#xff1b;\u5404\u5730\u533a\u653b\u51fb\u6b21\u6570<\/p>\n<p>\u5bf9\u6bd4\u67f1\u72b6\u56fe&#xff1a;\u89c4\u5219\u68c0\u6d4b vs ML \u5b64\u7acb\u68ee\u6797 \u51c6\u786e\u7387\u3001\u7cbe\u786e\u7387\u3001\u53ec\u56de\u7387\u5bf9\u6bd4<\/p>\n<p>\u5f39\u7a97 msgbox&#xff0c;\u5f39\u51fa\u68c0\u6d4b\u6c47\u603b\u7ed3\u679c<\/p>\n<li>\u5c40\u90e8\u51fd\u6570&#xff08;\u5b64\u7acb\u68ee\u6797\u6838\u5fc3\u5b9e\u73b0&#xff0c;\u65e0\u5de5\u5177\u7bb1&#xff09;<\/li>\n<p>matlab<\/p>\n<p>isoForestScore()<\/p>\n<p>isoTreeDepth()<\/p>\n<p>cFactor()<\/p>\n<p>isoForestScore&#xff1a;\u6784\u5efa\u591a\u68f5\u5b64\u7acb\u6811&#xff0c;\u8ba1\u7b97\u5f53\u524d\u6d41\u91cf\u6837\u672c\u5e73\u5747\u8def\u5f84\u957f\u5ea6&#xff0c;\u5f52\u4e00\u5316\u5f97\u5230\u5f02\u5e38\u5206\u6570<\/p>\n<p>isoTreeDepth&#xff1a;\u9012\u5f52\u6784\u5efa\u5b64\u7acb\u6811&#xff0c;\u968f\u673a\u5207\u5206\u6837\u672c&#xff0c;\u8fd4\u56de\u6837\u672c\u9694\u79bb\u6df1\u5ea6<\/p>\n<p>cFactor&#xff1a;\u5b64\u7acb\u68ee\u6797\u8bba\u6587\u6807\u51c6\u5f52\u4e00\u5316\u7cfb\u6570&#xff0c;\u7528\u4e8e\u5c06\u8def\u5f84\u957f\u5ea6\u8f6c\u4e3a 0~1 \u7684\u5f02\u5e38\u5206\u6570<\/p>\n<p>\u539f\u7406&#xff1a;\u5f02\u5e38\u6837\u672c\u66f4\u5bb9\u6613\u88ab\u5feb\u901f\u9694\u79bb&#xff0c;\u8def\u5f84\u77ed&#xff0c;\u5206\u6570\u9ad8&#xff1b;\u6b63\u5e38\u6837\u672c\u8def\u5f84\u957f&#xff0c;\u5206\u6570\u4f4e\u3002<\/p>\n<p>\u56db\u3001\u4e24\u79cd\u68c0\u6d4b\u65b9\u6848\u5bf9\u6bd4\u8bf4\u660e<\/p>\n<p>\u89c4\u5219\u68c0\u6d4b&#xff08;\u57fa\u4e8e\u9608\u503c&#xff09;<\/p>\n<p>\u539f\u7406&#xff1a;\u6d41\u91cf\u5305\u901f\u7387\u8d85\u8fc7\u9608\u503c\u5224\u5b9a\u653b\u51fb&#xff0c;\u642d\u914d\u81ea\u9002\u5e94\u9608\u503c<\/p>\n<p>\u4f18\u70b9&#xff1a;\u7b80\u5355\u3001\u901f\u5ea6\u5feb&#xff1b;\u7f3a\u70b9&#xff1a;\u5bb9\u6613\u53d7\u6d41\u91cf\u6ce2\u52a8\u8bef\u62a5&#xff0c;\u9608\u503c\u9700\u8981\u4eba\u5de5\u8c03\u53c2<\/p>\n<p>ML \u5b64\u7acb\u68ee\u6797\u68c0\u6d4b<\/p>\n<p>\u539f\u7406&#xff1a;\u5b66\u4e60\u5386\u53f2\u6d41\u91cf\u5206\u5e03&#xff0c;\u8bc6\u522b\u504f\u79bb\u6b63\u5e38\u6a21\u5f0f\u7684\u5f02\u5e38\u6d41\u91cf<\/p>\n<p>\u4f18\u70b9&#xff1a;\u65e0\u9700\u4f9d\u8d56\u56fa\u5b9a\u9608\u503c&#xff1b;\u7f3a\u70b9&#xff1a;\u9700\u8981\u8db3\u591f\u5386\u53f2\u6837\u672c&#xff0c;\u53c2\u6570&#xff08;\u6811\u6570\u91cf\u3001\u91c7\u6837\u5927\u5c0f&#xff09;\u5f71\u54cd\u7ed3\u679c<\/p>\n<p>\u4e94\u3001\u7a0b\u5e8f\u8f93\u51fa\u6587\u4ef6<\/p>\n<p>traffic_log.csv&#xff1a;\u5168\u65f6\u5e8f\u6d41\u91cf\u65e5\u5fd7&#xff0c;\u53ef Excel \u6253\u5f00<\/p>\n<p>final_report.txt&#xff1a;\u6587\u5b57\u7248\u7efc\u5408\u8bc4\u4f30\u62a5\u544a<\/p>\n<p>\u591a\u7ec4 MATLAB \u56fe\u7a97&#xff1a;\u5b9e\u65f6\u4eea\u8868\u76d8 &#043; 5 \u5f20\u7edf\u8ba1\u5206\u6790\u56fe\u8868<\/p>\n<h2>\u26c4\u4e8c\u3001\u90e8\u5206\u6e90\u4ee3\u7801\u548c\u8fd0\u884c\u6b65\u9aa4<\/h2>\n<p>1 \u90e8\u5206\u4ee3\u7801<\/p>\n<p>%% SETTINGS threshold &#061; 1000; % fixed threshold (packets\/sec) blacklistLimit &#061; 3; % offenses before an IP is auto-blocked adaptiveWindow &#061; 8; % samples used for adaptive threshold mlAnomalyThresh &#061; 0.62; % isolation-forest score above this &#061; anomaly isoTrees &#061; 50; % number of random trees in mini isolation forest isoSampleSize &#061; 8; % points sampled per tree botMin &#061; 3; % min simultaneous attacker IPs during an attack botMax &#061; 6; % max simultaneous attacker IPs during an attack<\/p>\n<p>attackCount &#061; 0; normalCount &#061; 0; blockedCount &#061; 0;<\/p>\n<p>% Ground truth: we know the simulated attack occurs in this window, % used later purely to score how well each detector performed. groundTruthStart &#061; 25; groundTruthEnd &#061; 35;<\/p>\n<p>% History buffers trafficHistory &#061; []; timeHistory &#061; []; ipOffenseCount &#061; zeros(1,255); % offense tally per simulated IP blacklist &#061; []; % blocked IP list protocolCounts &#061; struct(\u2018TCP\u2019,0,\u2018UDP\u2019,0,\u2018ICMP\u2019,0);<\/p>\n<p>peakTraffic &#061; 0; peakTime &#061; 0; attackStartT &#061; NaN; attackSegments &#061; []; % [startTime endTime] rows botSizeHistory &#061; []; % botnet size recorded on each attack tick<\/p>\n<p>% Confusion-matrix counters, rule-based detector TP &#061; 0; FP &#061; 0; TN &#061; 0; FN &#061; 0; % Confusion-matrix counters, ML detector TP2 &#061; 0; FP2 &#061; 0; TN2 &#061; 0; FN2 &#061; 0;<\/p>\n<p>%% GEO-IP REGION SETUP (simulated \/ illustrative, not real geolocation) regions &#061; {\u2018N. America\u2019,\u2018S. America\u2019,\u2018Europe\u2019,\u2018Africa\u2019,\u2018Asia\u2019,\u2018Oceania\u2019}; regionX &#061; [2.0 3.0 5.0 5.0 7.5 8.0]; regionY &#061; [7.5 3.0 8.0 4.0 7.0 2.0]; regionOffenseCount &#061; zeros(1,6); regionTrafficSum &#061; zeros(1,6); regionOf &#061; &#064;(ip) mod(ip-1,6) &#043; 1;<\/p>\n<p>%% LOG FILE SETUP logFile &#061; fopen(\u2018traffic_log.csv\u2019,\u2018w\u2019); fprintf(logFile,\u2018Time,Traffic,SourceIP,Region,Protocol,Status,Severity,NetworkHealth,MLAnomalyScore,ActiveBots\\\\n\u2019);<\/p>\n<p>sessionStartTime &#061; tic;<\/p>\n<p>%% CREATE DASHBOARD figure(\u2018Name\u2019,\u2018DDoS Attack Detection Dashboard v3\u2019,\u2026 \u2018NumberTitle\u2019,\u2018off\u2019,\u2026 \u2018Position\u2019,[60 40 1250 780]);<\/p>\n<p>%% Traffic axes (top-left, main plot) ax1 &#061; axes(\u2018Position\u2019,[0.07 0.38 0.62 0.56]); h &#061; animatedline(ax1,\u2018Color\u2019,\u2018b\u2019,\u2018LineWidth\u2019,2,\u2018DisplayName\u2019,\u2018Traffic\u2019); hAdapt &#061; animatedline(ax1,\u2018Color\u2019,[0.9 0.5 0],\u2018LineStyle\u2019,\u2018:\u2019,\u2018LineWidth\u2019,1.5,\u2026 \u2018DisplayName\u2019,\u2018Adaptive Threshold\u2019); xlabel(ax1,\u2018Time (s)\u2019); ylabel(ax1,\u2018Packets\/sec\u2019); title(ax1,\u2018Real-Time Network Traffic Monitoring\u2019); grid(ax1,\u2018on\u2019); hold(ax1,\u2018on\u2019); yline(ax1,threshold,\u2018r\u2013\u2019,\u2018Fixed Threshold\u2019); xlim(ax1,[0 50]); ylim(ax1,[0 3000]); legend(ax1,\u2018Location\u2019,\u2018northwest\u2019);<\/p>\n<p>%% Geo-IP heat map axes (bottom-left) ax2 &#061; axes(\u2018Position\u2019,[0.07 0.06 0.62 0.26]); hold(ax2,\u2018on\u2019); hGeo &#061; scatter(ax2, regionX, regionY, 60*ones(1,6), zeros(1,6), \u2018filled\u2019); colormap(ax2,\u2018hot\u2019); caxis(ax2,[0 1]); for k &#061; 1:numel(regions) text(ax2, regionX(k), regionY(k)-0.9, regions{k}, \u2026 \u2018FontSize\u2019,8,\u2018HorizontalAlignment\u2019,\u2018center\u2019); end<\/p>\n<p>2 \u901a\u7528\u8fd0\u884c\u6b65\u9aa4 &#xff08;1&#xff09;\u76f4\u63a5\u8fd0\u884cmain.m\u5373\u53ef\u4e00\u952e\u51fa\u56fe<\/p>\n<h2>\u26c4\u4e09\u3001\u8fd0\u884c\u7ed3\u679c<\/h2>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/10\/20261011111705-6acb70310dde9.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" \/> <img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/10\/20261011111705-6acb7031c365a.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" \/> <img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/10\/20261011111705-6acb7031da49f.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" \/> <img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/10\/20261011111705-6acb7031f0e74.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" \/> <img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/10\/20261011111706-6acb7032131bb.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" \/> <img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/10\/20261011111706-6acb70322975d.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" \/> <img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/10\/20261011111706-6acb70323fda5.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" \/><\/p>\n<h2>\u26c4\u56db\u3001matlab\u7248\u672c\u53ca\u53c2\u8003\u6587\u732e<\/h2>\n<h3>1 matlab\u7248\u672c<\/h3>\n<p>2019b<\/p>\n<h3>2 \u53c2\u8003\u6587\u732e<\/h3>\n<p>[1]\u674e\u708e\u8861.\u5206\u5e03\u5f0f\u62d2\u7edd\u670d\u52a1\u653b\u51fb&#xff08;DDoS&#xff09;\u68c0\u6d4b\u6280\u672f\u7814\u7a76[J].\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66. 2006<\/p>\n<h3>3 \u5907\u6ce8<\/h3>\n<p>\u7b80\u4ecb\u6b64\u90e8\u5206\u6458\u81ea\u4e92\u8054\u7f51&#xff0c;\u4ec5\u4f9b\u53c2\u8003&#xff0c;\u82e5\u4fb5\u6743&#xff0c;\u8054\u7cfb\u5220\u9664<\/p>\n<h2>\u26c4\u4e94\u3001\u4eff\u771f\u54a8\u8be2\u4e0e\u7a0b\u5e8f\u5b9a\u5236<\/h2>\n<h3>1 \u5404\u7c7b\u667a\u80fd\u4f18\u5316\u7b97\u6cd5\u6539\u8fdb\u53ca\u5e94\u7528<\/h3>\n<h3>1.1 PID\u4f18\u5316<\/h3>\n<h3>1.2 VMD\u4f18\u5316<\/h3>\n<h3>1.3 \u914d\u7535\u7f51\u91cd\u6784<\/h3>\n<h3>1.4 \u4e09\u7ef4\u88c5\u7bb1<\/h3>\n<h3>1.5 \u5fae\u7535\u7f51\u4f18\u5316<\/h3>\n<h3>1.6 \u4f18\u5316\u5e03\u5c40<\/h3>\n<h3>1.7 \u4f18\u5316\u53c2\u6570<\/h3>\n<h3>1.8 \u4f18\u5316\u6210\u672c<\/h3>\n<h3>1.9 \u4f18\u5316\u5145\u7535<\/h3>\n<h3>1.10 \u4f18\u5316\u8c03\u5ea6<\/h3>\n<h3>1.11 \u4f18\u5316\u7535\u4ef7<\/h3>\n<h3>1.12 \u4f18\u5316\u53d1\u8f66<\/h3>\n<h3>1.13 \u4f18\u5316\u5206\u914d<\/h3>\n<h3>1.14 \u4f18\u5316\u8986\u76d6<\/h3>\n<h3>1.15 \u4f18\u5316\u63a7\u5236<\/h3>\n<h3>1.16 \u4f18\u5316\u5e93\u5b58<\/h3>\n<h3>1.17 \u4f18\u5316\u8def\u7531<\/h3>\n<h3>1.18 \u4f18\u5316\u8bbe\u8ba1<\/h3>\n<h3>1.19 \u4f18\u5316\u4f4d\u7f6e<\/h3>\n<h3>1.20 \u4f18\u5316\u5438\u6ce2<\/h3>\n<h3>1.21 \u4f18\u5316\u9009\u5740<\/h3>\n<h3>1.22 \u4f18\u5316\u8fd0\u884c<\/h3>\n<h3>1.23 \u4f18\u5316\u6307\u6d3e<\/h3>\n<h3>1.24 \u4f18\u5316\u7ec4\u5408<\/h3>\n<h3>1.25 \u8f66\u95f4\u8c03\u5ea6<\/h3>\n<h3>1.26 \u751f\u4ea7\u8c03\u5ea6<\/h3>\n<h3>1.27 \u7ecf\u6d4e\u8c03\u5ea6<\/h3>\n<h3>1.28 \u88c5\u914d\u7ebf\u8c03\u5ea6<\/h3>\n<h3>1.29 \u6c34\u5e93\u8c03\u5ea6<\/h3>\n<h3>1.30 \u8d27\u4f4d\u4f18\u5316<\/h3>\n<h3>1.31 \u516c\u4ea4\u6392\u73ed\u4f18\u5316<\/h3>\n<h3>1.32 \u96c6\u88c5\u7bb1\u8239\u914d\u8f7d\u4f18\u5316<\/h3>\n<h3>1.33 \u6c34\u6cf5\u7ec4\u5408\u4f18\u5316<\/h3>\n<h3>1.34 \u533b\u7597\u8d44\u6e90\u5206\u914d\u4f18\u5316<\/h3>\n<h3>1.35 \u53ef\u89c6\u57df\u57fa\u7ad9\u548c\u65e0\u4eba\u673a\u9009\u5740\u4f18\u5316<\/h3>\n<h3>2 \u673a\u5668\u5b66\u4e60\u548c\u6df1\u5ea6\u5b66\u4e60\u5206\u7c7b\u4e0e\u9884\u6d4b<\/h3>\n<h3>2.1 \u673a\u5668\u5b66\u4e60\u548c\u6df1\u5ea6\u5b66\u4e60\u5206\u7c7b<\/h3>\n<p>2.1.1 BiLSTM\u53cc\u5411\u957f\u77ed\u65f6\u8bb0\u5fc6\u795e\u7ecf\u7f51\u7edc\u5206\u7c7b 2.1.2 BP\u795e\u7ecf\u7f51\u7edc\u5206\u7c7b 2.1.3 CNN\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u5206\u7c7b 2.1.4 DBN\u6df1\u5ea6\u7f6e\u4fe1\u7f51\u7edc\u5206\u7c7b 2.1.5 DELM\u6df1\u5ea6\u5b66\u4e60\u6781\u9650\u5b66\u4e60\u673a\u5206\u7c7b 2.1.6 ELMAN\u9012\u5f52\u795e\u7ecf\u7f51\u7edc\u5206\u7c7b 2.1.7 ELM\u6781\u9650\u5b66\u4e60\u673a\u5206\u7c7b 2.1.8 GRNN\u5e7f\u4e49\u56de\u5f52\u795e\u7ecf\u7f51\u7edc\u5206\u7c7b 2.1.9 GRU\u95e8\u63a7\u5faa\u73af\u5355\u5143\u5206\u7c7b 2.1.10 KELM\u6df7\u5408\u6838\u6781\u9650\u5b66\u4e60\u673a\u5206\u7c7b 2.1.11 KNN\u5206\u7c7b 2.1.12 LSSVM\u6700\u5c0f\u4e8c\u4e58\u6cd5\u652f\u6301\u5411\u91cf\u673a\u5206\u7c7b 2.1.13 LSTM\u957f\u77ed\u65f6\u8bb0\u5fc6\u7f51\u7edc\u5206\u7c7b 2.1.14 MLP\u5168\u8fde\u63a5\u795e\u7ecf\u7f51\u7edc\u5206\u7c7b 2.1.15 PNN\u6982\u7387\u795e\u7ecf\u7f51\u7edc\u5206\u7c7b 2.1.16 RELM\u9c81\u68d2\u6781\u9650\u5b66\u4e60\u673a\u5206\u7c7b 2.1.17 RF\u968f\u673a\u68ee\u6797\u5206\u7c7b 2.1.18 SCN\u968f\u673a\u914d\u7f6e\u7f51\u7edc\u6a21\u578b\u5206\u7c7b 2.1.19 SVM\u652f\u6301\u5411\u91cf\u673a\u5206\u7c7b 2.1.20 XGBOOST\u5206\u7c7b<\/p>\n<h3>2.2 \u673a\u5668\u5b66\u4e60\u548c\u6df1\u5ea6\u5b66\u4e60\u9884\u6d4b<\/h3>\n<p>2.2.1 ANFIS\u81ea\u9002\u5e94\u6a21\u7cca\u795e\u7ecf\u7f51\u7edc\u9884\u6d4b 2.2.2 ANN\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\u9884\u6d4b 2.2.3 ARMA\u81ea\u56de\u5f52\u6ed1\u52a8\u5e73\u5747\u6a21\u578b\u9884\u6d4b 2.2.4 BF\u7c92\u5b50\u6ee4\u6ce2\u9884\u6d4b 2.2.5 BiLSTM\u53cc\u5411\u957f\u77ed\u65f6\u8bb0\u5fc6\u795e\u7ecf\u7f51\u7edc\u9884\u6d4b 2.2.6 BLS\u5bbd\u5ea6\u5b66\u4e60\u795e\u7ecf\u7f51\u7edc\u9884\u6d4b 2.2.7 BP\u795e\u7ecf\u7f51\u7edc\u9884\u6d4b 2.2.8 CNN\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u9884\u6d4b 2.2.9 DBN\u6df1\u5ea6\u7f6e\u4fe1\u7f51\u7edc\u9884\u6d4b 2.2.10 DELM\u6df1\u5ea6\u5b66\u4e60\u6781\u9650\u5b66\u4e60\u673a\u9884\u6d4b 2.2.11 DKELM\u56de\u5f52\u9884\u6d4b 2.2.12 ELMAN\u9012\u5f52\u795e\u7ecf\u7f51\u7edc\u9884\u6d4b 2.2.13 ELM\u6781\u9650\u5b66\u4e60\u673a\u9884\u6d4b 2.2.14 ESN\u56de\u58f0\u72b6\u6001\u7f51\u7edc\u9884\u6d4b 2.2.15 FNN\u524d\u9988\u795e\u7ecf\u7f51\u7edc\u9884\u6d4b 2.2.16 GMDN\u9884\u6d4b 2.2.17 GMM\u9ad8\u65af\u6df7\u5408\u6a21\u578b\u9884\u6d4b 2.2.18 GRNN\u5e7f\u4e49\u56de\u5f52\u795e\u7ecf\u7f51\u7edc\u9884\u6d4b 2.2.19 GRU\u95e8\u63a7\u5faa\u73af\u5355\u5143\u9884\u6d4b 2.2.20 KELM\u6df7\u5408\u6838\u6781\u9650\u5b66\u4e60\u673a\u9884\u6d4b 2.2.21 LMS\u6700\u5c0f\u5747\u65b9\u7b97\u6cd5\u9884\u6d4b 2.2.22 LSSVM\u6700\u5c0f\u4e8c\u4e58\u6cd5\u652f\u6301\u5411\u91cf\u673a\u9884\u6d4b 2.2.23 LSTM\u957f\u77ed\u65f6\u8bb0\u5fc6\u7f51\u7edc\u9884\u6d4b 2.2.24 RBF\u5f84\u5411\u57fa\u51fd\u6570\u795e\u7ecf\u7f51\u7edc\u9884\u6d4b 2.2.25 RELM\u9c81\u68d2\u6781\u9650\u5b66\u4e60\u673a\u9884\u6d4b 2.2.26 RF\u968f\u673a\u68ee\u6797\u9884\u6d4b 2.2.27 RNN\u5faa\u73af\u795e\u7ecf\u7f51\u7edc\u9884\u6d4b 2.2.28 RVM\u76f8\u5173\u5411\u91cf\u673a\u9884\u6d4b 2.2.29 SVM\u652f\u6301\u5411\u91cf\u673a\u9884\u6d4b 2.2.30 TCN\u65f6\u95f4\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u9884\u6d4b 2.2.31 XGBoost\u56de\u5f52\u9884\u6d4b 2.2.32 \u6a21\u7cca\u9884\u6d4b 2.2.33 \u5947\u5f02\u8c31\u5206\u6790\u65b9\u6cd5SSA\u65f6\u95f4\u5e8f\u5217\u9884\u6d4b<\/p>\n<p>2.3 \u673a\u5668\u5b66\u4e60\u548c\u6df1\u5ea6\u5b66\u4e60\u5b9e\u9645\u5e94\u7528\u9884\u6d4b CPI\u6307\u6570\u9884\u6d4b\u3001PM2.5\u6d53\u5ea6\u9884\u6d4b\u3001SOC\u9884\u6d4b\u3001\u8d22\u52a1\u9884\u8b66\u9884\u6d4b\u3001\u4ea7\u91cf\u9884\u6d4b\u3001\u8f66\u4f4d\u9884\u6d4b\u3001\u866b\u60c5\u9884\u6d4b\u3001\u5e26\u94a2\u539a\u5ea6\u9884\u6d4b\u3001\u7535\u6c60\u5065\u5eb7\u72b6\u6001\u9884\u6d4b\u3001\u7535\u529b\u8d1f\u8377\u9884\u6d4b\u3001\u623f\u4ef7\u9884\u6d4b\u3001\u8150\u8680\u7387\u9884\u6d4b\u3001\u6545\u969c\u8bca\u65ad\u9884\u6d4b\u3001\u5149\u4f0f\u529f\u7387\u9884\u6d4b\u3001\u8f68\u8ff9\u9884\u6d4b\u3001\u822a\u7a7a\u53d1\u52a8\u673a\u5bff\u547d\u9884\u6d4b\u3001\u6c47\u7387\u9884\u6d4b\u3001\u6df7\u51dd\u571f\u5f3a\u5ea6\u9884\u6d4b\u3001\u52a0\u70ed\u7089\u7089\u6e29\u9884\u6d4b\u3001\u4ef7\u683c\u9884\u6d4b\u3001\u4ea4\u901a\u6d41\u9884\u6d4b\u3001\u5c45\u6c11\u6d88\u8d39\u6307\u6570\u9884\u6d4b\u3001\u7a7a\u6c14\u8d28\u91cf\u9884\u6d4b\u3001\u7cae\u98df\u6e29\u5ea6\u9884\u6d4b\u3001\u6c14\u6e29\u9884\u6d4b\u3001\u6e05\u6c34\u503c\u9884\u6d4b\u3001\u5931\u4e1a\u7387\u9884\u6d4b\u3001\u7528\u7535\u91cf\u9884\u6d4b\u3001\u8fd0\u8f93\u91cf\u9884\u6d4b\u3001\u5236\u9020\u4e1a\u91c7\u8d2d\u7ecf\u7406\u6307\u6570\u9884\u6d4b<\/p>\n<h3>3 \u56fe\u50cf\u5904\u7406\u65b9\u9762<\/h3>\n<h3>3.1 \u56fe\u50cf\u8fb9\u7f18\u68c0\u6d4b<\/h3>\n<h3>3.2 \u56fe\u50cf\u5904\u7406<\/h3>\n<h3>3.3 \u56fe\u50cf\u5206\u5272<\/h3>\n<h3>3.4 \u56fe\u50cf\u5206\u7c7b<\/h3>\n<h3>3.5 \u56fe\u50cf\u8ddf\u8e2a<\/h3>\n<h3>3.6 \u56fe\u50cf\u52a0\u5bc6\u89e3\u5bc6<\/h3>\n<h3>3.7 \u56fe\u50cf\u68c0\u7d22<\/h3>\n<h3>3.8 \u56fe\u50cf\u914d\u51c6<\/h3>\n<h3>3.9 \u56fe\u50cf\u62fc\u63a5<\/h3>\n<h3>3.10 \u56fe\u50cf\u8bc4\u4ef7<\/h3>\n<h3>3.11 \u56fe\u50cf\u53bb\u566a<\/h3>\n<h3>3.12 \u56fe\u50cf\u878d\u5408<\/h3>\n<h3>3.13 \u56fe\u50cf\u8bc6\u522b<\/h3>\n<p>3.13.1 \u8868\u76d8\u8bc6\u522b 3.13.2 \u8f66\u9053\u7ebf\u8bc6\u522b 3.13.3 \u8f66\u8f86\u8ba1\u6570 3.13.4 \u8f66\u8f86\u8bc6\u522b 3.13.5 \u8f66\u724c\u8bc6\u522b 3.13.6 \u8f66\u4f4d\u8bc6\u522b 3.13.7 \u5c3a\u5bf8\u68c0\u6d4b 3.13.8 \u7b54\u9898\u5361\u8bc6\u522b 3.13.9 \u7535\u5668\u8bc6\u522b 3.13.10 \u8dcc\u5012\u68c0\u6d4b 3.13.11 \u52a8\u7269\u8bc6\u522b 3.13.12 \u4e8c\u7ef4\u7801\u8bc6\u522b 3.13.13 \u53d1\u7968\u8bc6\u522b 3.13.14 \u670d\u88c5\u8bc6\u522b 3.13.15 \u6c49\u5b57\u8bc6\u522b 3.13.16 \u7ea2\u7eff\u706f\u8bc6\u522b 3.13.17 \u8679\u819c\u8bc6\u522b 3.13.18 \u706b\u707e\u68c0\u6d4b 3.13.19 \u75be\u75c5\u5206\u7c7b 3.13.20 \u4ea4\u901a\u6807\u5fd7\u8bc6\u522b 3.13.21 \u5361\u53f7\u8bc6\u522b 3.13.22 \u53e3\u7f69\u8bc6\u522b 3.13.23 \u88c2\u7f1d\u8bc6\u522b 3.13.24 \u76ee\u6807\u8ddf\u8e2a 3.13.25 \u75b2\u52b3\u68c0\u6d4b 3.13.26 \u65d7\u5e1c\u8bc6\u522b 3.13.27 \u9752\u8349\u8bc6\u522b 3.13.28 \u4eba\u8138\u8bc6\u522b 3.13.29 \u4eba\u6c11\u5e01\u8bc6\u522b 3.13.30 \u8eab\u4efd\u8bc1\u8bc6\u522b 3.13.31 \u624b\u52bf\u8bc6\u522b 3.13.32 \u6570\u5b57\u5b57\u6bcd\u8bc6\u522b 3.13.33 \u624b\u638c\u8bc6\u522b 3.13.34 \u6811\u53f6\u8bc6\u522b 3.13.35 \u6c34\u679c\u8bc6\u522b 3.13.36 \u6761\u5f62\u7801\u8bc6\u522b 3.13.37 \u6e29\u5ea6\u68c0\u6d4b 3.13.38 \u7455\u75b5\u68c0\u6d4b 3.13.39 \u82af\u7247\u68c0\u6d4b 3.13.40 \u884c\u4e3a\u8bc6\u522b 3.13.41 \u9a8c\u8bc1\u7801\u8bc6\u522b 3.13.42 \u836f\u6750\u8bc6\u522b 3.13.43 \u786c\u5e01\u8bc6\u522b 3.13.44 \u90ae\u653f\u7f16\u7801\u8bc6\u522b 3.13.45 \u7eb8\u724c\u8bc6\u522b 3.13.46 \u6307\u7eb9\u8bc6\u522b<\/p>\n<h3>3.14 \u56fe\u50cf\u4fee\u590d<\/h3>\n<h3>3.15 \u56fe\u50cf\u538b\u7f29<\/h3>\n<h3>3.16 \u56fe\u50cf\u9690\u5199<\/h3>\n<h3>3.17 \u56fe\u50cf\u589e\u5f3a<\/h3>\n<h3>3.18 \u56fe\u50cf\u91cd\u5efa<\/h3>\n<h2>4 \u8def\u5f84\u89c4\u5212\u65b9\u9762<\/h2>\n<h3>4.1 \u65c5\u884c\u5546\u95ee\u9898&#xff08;TSP&#xff09;<\/h3>\n<p>4.1.1 \u5355\u65c5\u884c\u5546\u95ee\u9898&#xff08;TSP&#xff09; 4.1.2 \u591a\u65c5\u884c\u5546\u95ee\u9898&#xff08;MTSP&#xff09;<\/p>\n<h3>4.2 \u8f66\u8f86\u8def\u5f84\u95ee\u9898&#xff08;VRP&#xff09;<\/h3>\n<p>4.2.1 \u8f66\u8f86\u8def\u5f84\u95ee\u9898&#xff08;VRP&#xff09; 4.2.2 \u5e26\u5bb9\u91cf\u7684\u8f66\u8f86\u8def\u5f84\u95ee\u9898&#xff08;CVRP&#xff09; 4.2.3 \u5e26\u5bb9\u91cf&#043;\u65f6\u95f4\u7a97&#043;\u8ddd\u79bb\u8f66\u8f86\u8def\u5f84\u95ee\u9898&#xff08;DCTWVRP&#xff09; 4.2.4 \u5e26\u5bb9\u91cf&#043;\u8ddd\u79bb\u8f66\u8f86\u8def\u5f84\u95ee\u9898&#xff08;DCVRP&#xff09; 4.2.5 \u5e26\u8ddd\u79bb\u7684\u8f66\u8f86\u8def\u5f84\u95ee\u9898&#xff08;DVRP&#xff09; 4.2.6 \u5e26\u5145\u7535\u7ad9&#043;\u65f6\u95f4\u7a97\u8f66\u8f86\u8def\u5f84\u95ee\u9898&#xff08;ETWVRP&#xff09; 4.2.7 \u5e26\u591a\u79cd\u5bb9\u91cf\u7684\u8f66\u8f86\u8def\u5f84\u95ee\u9898&#xff08;MCVRP&#xff09; 4.2.8 \u5e26\u8ddd\u79bb\u7684\u591a\u8f66\u8f86\u8def\u5f84\u95ee\u9898&#xff08;MDVRP&#xff09; 4.2.9 \u540c\u65f6\u53d6\u9001\u8d27\u7684\u8f66\u8f86\u8def\u5f84\u95ee\u9898&#xff08;SDVRP&#xff09; 4.2.10 \u5e26\u65f6\u95f4\u7a97&#043;\u5bb9\u91cf\u7684\u8f66\u8f86\u8def\u5f84\u95ee\u9898&#xff08;TWCVRP&#xff09; 4.2.11 \u5e26\u65f6\u95f4\u7a97\u7684\u8f66\u8f86\u8def\u5f84\u95ee\u9898&#xff08;TWVRP&#xff09;<\/p>\n<h3>4.3 \u591a\u5f0f\u8054\u8fd0\u8fd0\u8f93\u95ee\u9898<\/h3>\n<h3>4.4 \u673a\u5668\u4eba\u8def\u5f84\u89c4\u5212<\/h3>\n<p>4.4.1 \u907f\u969c\u8def\u5f84\u89c4\u5212 4.4.2 \u673a\u5668\u4eba\u8f68\u8ff9\u8ddf\u8e2a 4.4.3 \u673a\u5668\u4eba\u7f16\u961f 4.4.4 \u673a\u5668\u4eba\u5bfc\u822a 4.4.5 \u673a\u5668\u4eba\u5b9a\u4f4d 4.4.6 \u673a\u5668\u4eba\u63a7\u5236 4.4.7 \u673a\u5668\u4eba\u8def\u5f84\u89c4\u5212 4.4.8 \u673a\u5668\u4eba\u4efb\u52a1\u5206\u914d 4.4.9 \u673a\u5668\u4eba\u641c\u7d22 4.4.10 \u673a\u5668\u4eba\u8fd0\u8f93 4.4.11 \u8ff7\u5bab\u8def\u5f84\u89c4\u5212 4.4.12 \u6c34\u4e0b\u673a\u5668\u4eba\u8def\u5f84\u89c4\u5212 4.4.13 \u6805\u683c\u5730\u56fe\u8def\u5f84\u89c4\u5212<\/p>\n<h3>4.5 \u914d\u9001\u8def\u5f84\u89c4\u5212<\/h3>\n<p>4.5.1 \u51b7\u94fe\u914d\u9001\u8def\u5f84\u89c4\u5212 4.5.2 \u5916\u5356\u914d\u9001\u8def\u5f84\u89c4\u5212 4.5.3 \u53e3\u7f69\u914d\u9001\u8def\u5f84\u89c4\u5212 4.5.4 \u836f\u54c1\u914d\u9001\u8def\u5f84\u89c4\u5212 4.5.5 \u542b\u5145\u7535\u7ad9\u914d\u9001\u8def\u5f84\u89c4\u5212 4.5.6 \u8fde\u9501\u8d85\u5e02\u914d\u9001\u8def\u5f84\u89c4\u5212 4.5.7 \u8f66\u8f86\u534f\u540c\u65e0\u4eba\u673a\u914d\u9001\u8def\u5f84\u89c4\u5212<\/p>\n<h3>4.6 \u65e0\u4eba\u673a\u8def\u5f84\u89c4\u5212<\/h3>\n<p>4.6.1 \u98de\u884c\u5668\u4eff\u771f 4.6.2 \u65e0\u4eba\u673a\u98de\u884c\u4f5c\u4e1a 4.6.3 \u65e0\u4eba\u673a\u8f68\u8ff9\u8ddf\u8e2a 4.6.4 \u65e0\u4eba\u673a\u96c6\u7fa4\u4eff\u771f 4.6.5 \u5361\u8f66\u65e0\u4eba\u673a 4.6.6 \u76ee\u6807\u641c\u7d22 4.6.7 \u4e09\u7ef4\u8def\u5f84\u89c4\u5212 4.6.8 \u65e0\u4eba\u673a\u7f16\u961f 4.6.9 \u65e0\u4eba\u673a\u5bfc\u822a 4.6.10 \u65e0\u4eba\u673a\u540a\u8fd0 4.6.11 \u65e0\u4eba\u673a\u5bf9\u6297 4.6.12 \u65e0\u4eba\u673a\u8986\u76d6 4.6.13 \u65e0\u4eba\u673a\u68c0\u6d4b 4.6.14 \u65e0\u4eba\u673a\u63a7\u5236 4.6.15 \u65e0\u4eba\u673a\u6c42\u63f4 4.6.16 \u65e0\u4eba\u673a\u4f4d\u59ff\u4f30\u8ba1 4.6.17 \u65e0\u4eba\u673a\u7cfb\u7edf 4.6.18 \u65e0\u4eba\u673a\u4fa6\u67e5 4.6.19 \u65e0\u4eba\u673a\u8054\u76df 4.6.20 \u65e0\u4eba\u673a\u534f\u540c\u4efb\u52a1 4.6.21 \u5f02\u6784\u65e0\u4eba\u673a<\/p>\n<h3>4.7 \u6c34\u4e0b\u98de\u884c\u5668<\/h3>\n<h3>4.8 \u65e0\u4eba\u8f66\u8def\u5f84\u89c4\u5212<\/h3>\n<h3>4.9 \u65e0\u4eba\u8247\u8def\u5f84\u89c4\u5212<\/h3>\n<h3>4.10 \u7269\u6d41\u9009\u5740<\/h3>\n<h3>4.11 \u8f66\u8f86\u63a7\u5236<\/h3>\n<h3>4.12 \u591a\u667a\u80fd\u4f53\u8def\u5f84\u89c4\u5212<\/h3>\n<p>4.12.1 \u591a\u667a\u80fd\u4f53\u7f16\u961f 4.12.2 \u591a\u667a\u80fd\u4f53\u63a7\u5236 4.12.3 \u591a\u667a\u80fd\u4f53\u8def\u5f84\u89c4\u5212 4.12.4 \u591a\u667a\u80fd\u4f53\u534f\u540c<\/p>\n<h2>5 \u8bed\u97f3\u5904\u7406<\/h2>\n<h3>5.1 \u8bed\u97f3\u60c5\u611f\u8bc6\u522b<\/h3>\n<h3>5.2 \u58f0\u6e90\u5b9a\u4f4d<\/h3>\n<h3>5.3 \u7279\u5f81\u63d0\u53d6<\/h3>\n<h3>5.4 \u8bed\u97f3\u7f16\u7801<\/h3>\n<h3>5.5 \u8bed\u97f3\u5904\u7406<\/h3>\n<h3>5.6 \u8bed\u97f3\u5206\u79bb<\/h3>\n<h3>5.7 \u8bed\u97f3\u5206\u6790<\/h3>\n<h3>5.8 \u8bed\u97f3\u5408\u6210<\/h3>\n<h3>5.9 \u8bed\u97f3\u52a0\u5bc6<\/h3>\n<h3>5.10 \u8bed\u97f3\u53bb\u566a<\/h3>\n<h3>5.11 \u8bed\u97f3\u8bc6\u522b<\/h3>\n<h3>5.12 \u8bed\u97f3\u538b\u7f29<\/h3>\n<h3>5.13 \u8bed\u97f3\u9690\u85cf<\/h3>\n<h2>6 \u5143\u80de\u81ea\u52a8\u673a\u65b9\u9762<\/h2>\n<h3>6.1 \u5143\u80de\u81ea\u52a8\u673a\u75c5\u6bd2\u4eff\u771f<\/h3>\n<h3>6.2 \u5143\u80de\u81ea\u52a8\u673a\u57ce\u5e02\u89c4\u5212<\/h3>\n<h3>6.3 \u5143\u80de\u81ea\u52a8\u673a\u4ea4\u901a\u6d41<\/h3>\n<h3>6.4 \u5143\u80de\u81ea\u52a8\u673a\u6c14\u4f53<\/h3>\n<h3>6.5 \u5143\u80de\u81ea\u52a8\u673a\u4eba\u5458\u758f\u6563<\/h3>\n<h3>6.6 \u5143\u80de\u81ea\u52a8\u673a\u68ee\u6797\u706b\u707e<\/h3>\n<h3>6.7 \u5143\u80de\u81ea\u52a8\u673a\u751f\u547d\u6e38\u620f<\/h3>\n<h2>7 \u4fe1\u53f7\u5904\u7406<\/h2>\n<h3>7.1 \u673a\u68b0\u632f\u52a8\u4fe1\u53f7\u5904\u7406<\/h3>\n<p>7.1.1 \u6545\u969c\u4fe1\u53f7 7.1.1.1 \u9f7f\u8f6e\u635f\u4f24\u8bc6\u522b 7.1.1.2 \u5f02\u6b65\u7535\u673a\u8f6c\u5b50\u65ad\u6761\u6545\u969c\u8bca\u65ad 7.1.1.3 \u6eda\u52a8\u4f53\u5185\u5916\u5708\u6545\u969c\u8bca\u65ad\u5206\u6790 7.1.1.4 \u7535\u673a\u6545\u969c\u8bca\u65ad\u5206\u6790 7.1.1.5 \u8f74\u627f\u6545\u969c\u8bca\u65ad\u5206\u6790 7.1.1.6 \u9f7f\u8f6e\u7bb1\u6545\u969c\u8bca\u65ad\u5206\u6790 7.1.1.7 \u4e09\u76f8\u9006\u53d8\u5668\u6545\u969c\u8bca\u65ad\u5206\u6790 7.1.1.8 \u67f4\u6cb9\u673a\u6545\u969c\u8bca\u65ad 7.1.2 \u7ba1\u9053\u6cc4\u6f0f 7.1.3 \u632f\u52a8\u4fe1\u53f7<\/p>\n<h3>7.2 \u751f\u7269\u533b\u5b66\u4fe1\u53f7\u5904\u7406<\/h3>\n<p>7.2.1 \u808c\u7535\u4fe1\u53f7EMG 7.2.2 \u8111\u7535\u4fe1\u53f7EEG 7.2.3 \u4e73\u817a\u764c\u8bca\u65ad 7.2.4 \u751f\u7269\u7535\u4fe1\u53f7 7.2.5 \u5fc3\u7535\u4fe1\u53f7ECG 7.2.6 \u5fc3\u8840\u7ba1 7.2.7 \u5fc3\u810f\u4eff\u771f 7.2.8 \u8840\u538b<\/p>\n<h3>7.3 \u58f0\u5450\u63a2\u6d4b\u4fe1\u53f7\u5904\u7406<\/h3>\n<p>7.3.1 \u58f0\u5450 7.3.2 \u6c34\u58f0\u901a\u4fe1<\/p>\n<h3>7.4 \u901a\u4fe1\u5de5\u7a0b\u4fe1\u53f7\u5904\u7406<\/h3>\n<p>7.4.1 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