{"id":477444,"date":"2023-08-09T09:15:09","date_gmt":"2023-08-09T09:15:09","guid":{"rendered":""},"modified":"2023-09-05T11:14:43","modified_gmt":"2023-09-05T11:14:43","slug":"heuristic-analysis","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/cn\/wiki\/heuristic-analysis\/","title":{"rendered":"\u542f\u53d1\u5f0f\u5206\u6790"},"content":{"rendered":"<p>\u542f\u53d1\u5f0f\u5206\u6790\u4ee3\u8868\u4e86\u89e3\u51b3\u95ee\u9898\u8fc7\u7a0b\u4e2d\u4f7f\u7528\u7684\u4e00\u79cd\u65b9\u6cd5\uff0c\u7279\u522b\u662f\u5728\u8ba1\u7b97\u673a\u79d1\u5b66\u548c\u7f51\u7edc\u5b89\u5168\u7b49\u9886\u57df\uff0c\u4ee5\u52a0\u901f\u89e3\u51b3\u65b9\u6848\u7684\u53d1\u73b0\u3002\u6b64\u8fc7\u7a0b\u901a\u8fc7\u5229\u7528\u57fa\u4e8e\u7ecf\u9a8c\u7684\u6280\u672f\u6765\u89e3\u51b3\u95ee\u9898\u3001\u5b66\u4e60\u548c\u53d1\u73b0\uff0c\u4ece\u800c\u6709\u6548\u5730\u5229\u7528\u6570\u636e\u3002\u542f\u53d1\u6cd5\u6d89\u53ca\u4ece\u4ee5\u524d\u89e3\u51b3\u7c7b\u4f3c\u95ee\u9898\u7684\u7ecf\u9a8c\u4e2d\u5f97\u51fa\u7684\u7b56\u7565\u3002<\/p>\n<h2>\u542f\u53d1\u5f0f\u5206\u6790\u7684\u8d77\u6e90\u548c\u6f14\u53d8<\/h2>\n<p>\u542f\u53d1\u5f0f\u7684\u6982\u5ff5\u6e90\u81ea\u5e0c\u814a\u8bed\u201cheuriskein\u201d\uff0c\u610f\u601d\u662f\u201c\u53d1\u73b0\u201d\uff0c\u8d77\u6e90\u4e8e\u89e3\u51b3\u95ee\u9898\u548c\u51b3\u7b56\u7684\u80cc\u666f\u3002\u8be5\u672f\u8bed\u662f 20 \u4e16\u7eaa\u521d\u7531\u7f8e\u56fd\u6570\u5b66\u5bb6\u4e54\u6cbb\u00b7\u6ce2\u5229\u4e9a (George P\u00f3lya) \u5728\u5176\u89e3\u51b3\u95ee\u9898\u7684\u8457\u4f5c\u300a\u5982\u4f55\u89e3\u51b3\u95ee\u9898\u300b\u4e2d\u521b\u9020\u7684\u3002<\/p>\n<p>\u5728\u8ba1\u7b97\u673a\u79d1\u5b66\u9886\u57df\uff0c\u542f\u53d1\u5f0f\u65b9\u6cd5\u9996\u6b21\u5728 20 \u4e16\u7eaa 60 \u5e74\u4ee3\u548c 1970 \u5e74\u4ee3\u7684\u4eba\u5de5\u667a\u80fd (AI) \u80cc\u666f\u4e0b\u5f97\u5230\u8ba8\u8bba\uff0c\u5f53\u65f6\u7814\u7a76\u4eba\u5458\u8bd5\u56fe\u5f00\u53d1\u80fd\u591f\u7528\u7c7b\u4eba\u667a\u80fd\u89e3\u51b3\u590d\u6742\u95ee\u9898\u7684\u7a0b\u5e8f\u3002\u7136\u800c\uff0c\u968f\u7740\u8ba1\u7b97\u673a\u548c\u7f51\u7edc\u5b89\u5168\u9700\u6c42\u7684\u589e\u957f\uff0c\u542f\u53d1\u5f0f\u5206\u6790\u7684\u5b9e\u9645\u5e94\u7528\u5728 20 \u4e16\u7eaa 80 \u5e74\u4ee3\u672b\u548c 90 \u5e74\u4ee3\u521d\u5f00\u59cb\u53d8\u5f97\u7a81\u51fa\uff0c\u7279\u522b\u662f\u5728\u9632\u75c5\u6bd2\u884c\u4e1a\u3002<\/p>\n<h2>\u6df1\u5165\u63a2\u7a76\u542f\u53d1\u5f0f\u5206\u6790<\/h2>\n<p>\u542f\u53d1\u5f0f\u5206\u6790\u5141\u8bb8\u91c7\u7528\u95f4\u63a5\u65b9\u6cd5\u6765\u89e3\u51b3\u95ee\u9898\u3002\u8fd9\u662f\u4e00\u79cd\u65e8\u5728\u901a\u8fc7\u4f7f\u7528\u201c\u7ecf\u9a8c\u6cd5\u5219\u201d\u3001\u6709\u6839\u636e\u7684\u731c\u6d4b\u3001\u76f4\u89c9\u6216\u5e38\u8bc6\u6765\u8282\u7701\u95ee\u9898\u89e3\u51b3\u65f6\u95f4\u7684\u7b56\u7565\u3002\u5728\u7f51\u7edc\u5b89\u5168\u4e2d\uff0c\u542f\u53d1\u5f0f\u5206\u6790\u5141\u8bb8\u9632\u75c5\u6bd2\u8f6f\u4ef6\u8bc6\u522b\u65b0\u7684\u3001\u4ee5\u524d\u672a\u77e5\u7684\u75c5\u6bd2\u6216\u5df2\u77e5\u75c5\u6bd2\u7684\u53d8\u4f53\u3002<\/p>\n<p>\u542f\u53d1\u5f0f\u65b9\u6cd5\u4f7f\u4e2a\u4eba\u6216\u7cfb\u7edf\u80fd\u591f\u7acb\u5373\u505a\u51fa\u51b3\u7b56\u5e76\u901a\u8fc7\u7b80\u5316\u6d41\u7a0b\u6765\u89e3\u51b3\u590d\u6742\u95ee\u9898\u3002\u542f\u53d1\u5f0f\u5206\u6790\u7684\u4e3b\u8981\u4f18\u70b9\u662f\u5176\u901f\u5ea6\uff0c\u8fd9\u5728\u6700\u4f73\u89e3\u51b3\u65b9\u6848\u4e0d\u5982\u5feb\u901f\u3001\u8db3\u591f\u597d\u7684\u89e3\u51b3\u65b9\u6848\u91cd\u8981\u7684\u60c5\u51b5\u4e0b\u975e\u5e38\u6709\u7528\u3002<\/p>\n<h2>\u542f\u53d1\u5f0f\u5206\u6790\u7684\u5185\u90e8\u673a\u5236<\/h2>\n<p>\u542f\u53d1\u5f0f\u5206\u6790\u7684\u5de5\u4f5c\u539f\u7406\u662f\u91c7\u7528\u6839\u636e\u4ee5\u524d\u7684\u7c7b\u4f3c\u7ecf\u9a8c\u5efa\u7acb\u7684\u7b97\u6cd5\u89c4\u5219\u548c\u534f\u8bae\u3002\u5728\u8ba1\u7b97\u673a\u7cfb\u7edf\u4e2d\uff0c\u542f\u53d1\u5f0f\u7b97\u6cd5\u88ab\u8bbe\u7f6e\u4e3a\u5bfb\u627e\u4e0e\u6f5c\u5728\u5a01\u80c1\u76f8\u5bf9\u5e94\u7684\u7279\u5b9a\u884c\u4e3a\u6216\u6d3b\u52a8\u3002<\/p>\n<p>\u4f8b\u5982\uff0c\u5bf9\u4e8e\u9632\u75c5\u6bd2\u542f\u53d1\u5f0f\u5f15\u64ce\uff0c\u8be5\u8f6f\u4ef6\u5c06\u626b\u63cf\u7cfb\u7edf\u5e76\u8bc6\u522b\u53ef\u7591\u884c\u4e3a\uff0c\u4f8b\u5982\u8bd5\u56fe\u4fee\u6539\u7cfb\u7edf\u6587\u4ef6\u6216\u672a\u7ecf\u7528\u6237\u8bb8\u53ef\u53d1\u9001\u6570\u636e\u7684\u7a0b\u5e8f\u3002\u6b64\u8fc7\u7a0b\u867d\u7136\u53ef\u80fd\u65e0\u6cd5\u8bc6\u522b\u786e\u5207\u7684\u75c5\u6bd2\uff0c\u4f46\u53ef\u4ee5\u6839\u636e\u8fd9\u4e9b\u884c\u4e3a\u6807\u8bb0\u6f5c\u5728\u7684\u75c5\u6bd2\u5a01\u80c1\uff0c\u4ee5\u4fbf\u8fdb\u884c\u8fdb\u4e00\u6b65\u7684\u68c0\u67e5\u548c\u91c7\u53d6\u884c\u52a8\u3002<\/p>\n<h2>\u542f\u53d1\u5f0f\u5206\u6790\u7684\u4e3b\u8981\u7279\u70b9<\/h2>\n<ol>\n<li><strong>\u6548\u7387<\/strong>\uff1a\u542f\u53d1\u5f0f\u5206\u6790\u901a\u8fc7\u63d0\u4f9b\u5feb\u901f\uff08\u5c3d\u7ba1\u5e76\u4e0d\u603b\u662f\u5b8c\u7f8e\uff09\u7684\u89e3\u51b3\u65b9\u6848\u6765\u52a0\u901f\u89e3\u51b3\u95ee\u9898\u3002<\/li>\n<li><strong>\u591a\u529f\u80fd\u6027<\/strong>\uff1a\u8be5\u65b9\u6cd5\u53ef\u4ee5\u5e94\u7528\u4e8e\u8ba1\u7b97\u673a\u79d1\u5b66\u3001\u7f51\u7edc\u5b89\u5168\u3001\u5fc3\u7406\u5b66\u7b49\u5404\u4e2a\u9886\u57df\u3002<\/li>\n<li><strong>\u79ef\u6781\u4e3b\u52a8\u7684<\/strong>\uff1a\u4e0e\u57fa\u4e8e\u7b7e\u540d\u7684\u68c0\u6d4b\u7b49\u5176\u4ed6\u65b9\u6cd5\u76f8\u6bd4\uff0c\u542f\u53d1\u5f0f\u5206\u6790\u53ef\u4ee5\u4e3b\u52a8\u8bc6\u522b\u65b0\u5a01\u80c1\u3002<\/li>\n<li><strong>\u9002\u5e94\u6027<\/strong>\uff1a\u901a\u8fc7\u4e0d\u65ad\u5b66\u4e60\u548c\u9002\u5e94\uff0c\u542f\u53d1\u5f0f\u5206\u6790\u53ef\u4ee5\u968f\u7740\u65f6\u95f4\u7684\u63a8\u79fb\u800c\u6539\u8fdb\uff0c\u4ece\u800c\u63d0\u9ad8\u5176\u89e3\u51b3\u65b9\u6848\u7684\u51c6\u786e\u6027\u3002<\/li>\n<\/ol>\n<h2>\u542f\u53d1\u5f0f\u5206\u6790\u7684\u7c7b\u578b<\/h2>\n<p>\u542f\u53d1\u5f0f\u5206\u6790\u6709\u591a\u79cd\u7c7b\u578b\uff0c\u5305\u62ec\uff1a<\/p>\n<table>\n<thead>\n<tr>\n<th>\u7c7b\u578b<\/th>\n<th>\u63cf\u8ff0<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td><strong>\u9057\u4f20\u542f\u53d1\u6cd5<\/strong><\/td>\n<td>\u5e94\u7528\u81ea\u7136\u9009\u62e9\u548c\u9057\u4f20\u5b66\u7684\u539f\u7406\u3002<\/td>\n<\/tr>\n<tr>\n<td><strong>\u6a21\u62df\u9000\u706b<\/strong><\/td>\n<td>\u53cd\u6620\u6750\u6599\u7684\u51b7\u5374\u4ee5\u8fbe\u5230\u6700\u4f4e\u80fd\u91cf\u72b6\u6001\u3002<\/td>\n<\/tr>\n<tr>\n<td><strong>\u7981\u5fcc\u641c\u7d22<\/strong><\/td>\n<td>\u4f7f\u7528\u5185\u5b58\u7ed3\u6784\u6765\u641c\u7d22\u6700\u4f18\u89e3\u51b3\u65b9\u6848\u3002<\/td>\n<\/tr>\n<tr>\n<td><strong>\u795e\u7ecf\u7f51\u7edc<\/strong><\/td>\n<td>\u6a21\u4eff\u4eba\u8111\u7684\u6a21\u5f0f\u8bc6\u522b\u548c\u51b3\u7b56\u3002<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>\u542f\u53d1\u5f0f\u5206\u6790\u7684\u5b9e\u9645\u5e94\u7528\u548c\u6311\u6218<\/h2>\n<p>\u542f\u53d1\u5f0f\u5206\u6790\u5e7f\u6cdb\u5e94\u7528\u4e8e\u4eba\u5de5\u667a\u80fd (AI)\u3001\u673a\u5668\u5b66\u4e60 (ML)\u3001\u7f51\u7edc\u5b89\u5168\u548c\u51b3\u7b56\u8fc7\u7a0b\u3002\u5b83\u5bf9\u4e8e\u6076\u610f\u8f6f\u4ef6\u68c0\u6d4b\u3001\u535a\u5f08\u8bba\u3001\u4f18\u5316\u95ee\u9898\u548c\u7f51\u7edc\u8def\u7531\u81f3\u5173\u91cd\u8981\u3002<\/p>\n<p>\u7136\u800c\uff0c\u542f\u53d1\u5f0f\u65b9\u6cd5\u5e76\u975e\u6ca1\u6709\u6311\u6218\u3002\u542f\u53d1\u5f0f\u5206\u6790\u7684\u4e3b\u8981\u95ee\u9898\u662f\u5b83\u5e76\u4e0d\u603b\u662f\u4fdd\u8bc1\u6700\u4f73\u751a\u81f3\u6b63\u786e\u7684\u89e3\u51b3\u65b9\u6848\u3002\u6709\u65f6\u53ef\u80fd\u4f1a\u7531\u4e8e\u8fc7\u5ea6\u4f9d\u8d56\u4ee5\u524d\u7684\u7ecf\u9a8c\u800c\u5bfc\u81f4\u504f\u5dee\u6216\u9519\u8bef\u3002\u8bef\u62a5\uff0c\u5c24\u5176\u662f\u5728\u7f51\u7edc\u5b89\u5168\u9886\u57df\uff0c\u53ef\u80fd\u662f\u4e00\u4e2a\u91cd\u5927\u95ee\u9898\u3002\u4e3a\u4e86\u5e94\u5bf9\u8fd9\u4e9b\u6311\u6218\uff0c\u901a\u5e38\u4f7f\u7528\u542f\u53d1\u5f0f\u65b9\u6cd5\u548c\u5176\u4ed6\u5206\u6790\u65b9\u6cd5\u7684\u5e73\u8861\u3002<\/p>\n<h2>\u4e0e\u7c7b\u4f3c\u65b9\u6cd5\u7684\u6bd4\u8f83<\/h2>\n<table>\n<thead>\n<tr>\n<th><\/th>\n<th>\u542f\u53d1\u5f0f\u5206\u6790<\/th>\n<th>\u57fa\u4e8e\u7b7e\u540d\u7684\u68c0\u6d4b<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td><strong>\u65b9\u6cd5<\/strong><\/td>\n<td>\u57fa\u4e8e\u884c\u4e3a\u548c\u6a21\u5f0f<\/td>\n<td>\u57fa\u4e8e\u5df2\u77e5\u7684\u75c5\u6bd2\u7279\u5f81<\/td>\n<\/tr>\n<tr>\n<td><strong>\u68c0\u6d4b<\/strong><\/td>\n<td>\u4e3b\u52a8\uff0c\u53ef\u4ee5\u68c0\u6d4b\u65b0\u5a01\u80c1<\/td>\n<td>\u53cd\u5e94\u5f0f\uff0c\u68c0\u6d4b\u5df2\u77e5\u5a01\u80c1<\/td>\n<\/tr>\n<tr>\n<td><strong>\u901f\u5ea6<\/strong><\/td>\n<td>\u5feb\u901f\uff0c\u975e\u5e38\u9002\u5408\u5b9e\u65f6\u4fdd\u62a4<\/td>\n<td>\u6839\u636e\u75c5\u6bd2\u5e93\u5927\u5c0f\u800c\u53d8\u5316<\/td>\n<\/tr>\n<tr>\n<td><strong>\u8bef\u62a5<\/strong><\/td>\n<td>\u53ef\u80fd\u6027\u66f4\u9ad8<\/td>\n<td>\u53ef\u80fd\u6027\u8f83\u4f4e<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>\u542f\u53d1\u5f0f\u5206\u6790\u7684\u672a\u6765\u524d\u666f<\/h2>\n<p>\u4eba\u5de5\u667a\u80fd\u548c\u673a\u5668\u5b66\u4e60\u6280\u672f\u4e0d\u65ad\u8fdb\u6b65\uff0c\u542f\u53d1\u5f0f\u5206\u6790\u7684\u80fd\u529b\u4e5f\u53ef\u80fd\u968f\u4e4b\u589e\u5f3a\u3002\u6539\u8fdb\u7684\u7b97\u6cd5\u548c\u589e\u5f3a\u7684\u8ba1\u7b97\u80fd\u529b\u5c06\u5b9e\u73b0\u66f4\u9ad8\u6548\u3001\u66f4\u51c6\u786e\u7684\u542f\u53d1\u5f0f\u5206\u6790\u3002\u91cf\u5b50\u8ba1\u7b97\u7684\u51fa\u73b0\u53ef\u80fd\u4f1a\u8fdb\u4e00\u6b65\u5f7b\u5e95\u6539\u53d8\u8be5\u9886\u57df\uff0c\u4f7f\u89e3\u51b3\u95ee\u9898\u7684\u80fd\u529b\u5448\u6307\u6570\u7ea7\u589e\u957f\u3002<\/p>\n<h2>\u4ee3\u7406\u670d\u52a1\u5668\u548c\u542f\u53d1\u5f0f\u5206\u6790<\/h2>\n<p>\u4ee3\u7406\u670d\u52a1\u5668\u53ef\u4ee5\u5229\u7528\u542f\u53d1\u5f0f\u5206\u6790\u6765\u589e\u5f3a\u5176\u5b89\u5168\u6027\u3002\u542f\u53d1\u5f0f\u65b9\u6cd5\u53ef\u7528\u4e8e\u5206\u6790\u7f51\u7edc\u6d41\u91cf\u5e76\u8bc6\u522b\u8868\u660e\u6f5c\u5728\u5a01\u80c1\u7684\u6a21\u5f0f\uff0c\u4f8b\u5982 DDoS \u653b\u51fb\u6216\u6570\u636e\u6cc4\u9732\u5c1d\u8bd5\u3002\u901a\u8fc7\u5b9e\u65bd\u542f\u53d1\u5f0f\u5206\u6790\uff0cOneProxy \u7b49\u4ee3\u7406\u670d\u52a1\u5668\u53ef\u4ee5\u4e3a\u5176\u7528\u6237\u63d0\u4f9b\u989d\u5916\u7684\u4fdd\u62a4\u5c42\uff0c\u786e\u4fdd\u66f4\u5b89\u5168\u7684\u6d4f\u89c8\u4f53\u9a8c\u3002<\/p>\n<h2>\u76f8\u5173\u94fe\u63a5<\/h2>\n<ul>\n<li><a href=\"https:\/\/towardsdatascience.com\/heuristics-in-artificial-intelligence-56dd13b9ef3e\" target=\"_new\" rel=\"noopener nofollow\">\u4eba\u5de5\u667a\u80fd\u542f\u53d1\u5f0f\u2014\u2014\u8fc8\u5411\u6570\u636e\u79d1\u5b66<\/a><\/li>\n<li><a href=\"https:\/\/www.psychologytoday.com\/intl\/blog\/the-power-prime\/201112\/the-use-heuristics-in-decision-making\" target=\"_new\" rel=\"noopener nofollow\">\u542f\u53d1\u6cd5\u5728\u51b3\u7b56\u4e2d\u7684\u5e94\u7528\u2014\u2014\u4eca\u65e5\u5fc3\u7406\u5b66<\/a><\/li>\n<li><a href=\"https:\/\/www.nortonsecurity.com\/pages\/glossary\/heuristic-virus-detection.html\" target=\"_new\" rel=\"noopener nofollow\">\u542f\u53d1\u5f0f\u75c5\u6bd2\u68c0\u6d4b \u2013 Norton Security<\/a><\/li>\n<li><a href=\"https:\/\/www.britannica.com\/technology\/heuristic\" target=\"_new\" rel=\"noopener nofollow\">\u542f\u53d1\u5f0f\u5206\u6790 \u2013 \u5927\u82f1\u767e\u79d1\u5168\u4e66<\/a><\/li>\n<\/ul>","protected":false},"featured_media":468539,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-477444","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>Heuristic Analysis: An In-depth Exploration<\/mark>","faq_items":[{"question":"What is heuristic analysis?","answer":"<p>Heuristic analysis is a problem-solving method that accelerates the discovery of a solution by using experience-based techniques for learning and discovery. It is widely used in fields like computer science and cybersecurity.<\/p>"},{"question":"When did heuristic analysis originate?","answer":"<p>The concept of heuristics, from the Greek word 'heuriskein' meaning 'to discover', originated in the context of problem-solving and decision-making in the early 20th century. In computer science, heuristic methods were discussed in the context of artificial intelligence (AI) in the 1960s and 1970s.<\/p>"},{"question":"How does heuristic analysis work?","answer":"<p>Heuristic analysis works by employing algorithmic rules and protocols established from previous similar experiences. In computer systems, heuristic algorithms are set to look for specific behaviors or activities that correspond to potential threats.<\/p>"},{"question":"What are some key features of heuristic analysis?","answer":"<p>The key features of heuristic analysis include efficiency, versatility, proactivity, and adaptability. It provides quick solutions, can be applied in various fields, identifies new threats proactively, and improves over time with continued learning and adaptation.<\/p>"},{"question":"What are the types of heuristic analysis?","answer":"<p>There are several types of heuristic analyses, including genetic heuristic, simulated annealing, tabu search, and neural networks. These different types apply different principles and methods for problem-solving.<\/p>"},{"question":"What are the practical applications of heuristic analysis?","answer":"<p>Heuristic analysis is used in artificial intelligence (AI), machine learning (ML), cybersecurity, and decision-making processes. It is crucial for malware detection, game theory, optimization problems, and network routing.<\/p>"},{"question":"What challenges does heuristic analysis face?","answer":"<p>The primary challenge of heuristic analysis is that it does not always guarantee an optimal or even correct solution. It might sometimes lead to biases or errors due to over-reliance on previous experience. False positives can also be an issue, especially in cybersecurity.<\/p>"},{"question":"How does heuristic analysis compare with signature-based detection?","answer":"<p>While heuristic analysis is based on behavior and patterns and can detect new threats proactively, signature-based detection is based on known virus signatures and is reactive. Heuristic analysis is fast and ideal for real-time protection but has a higher likelihood of false positives compared to signature-based detection.<\/p>"},{"question":"What are the future prospects of heuristic analysis?","answer":"<p>With advancements in AI and machine learning technologies, the capabilities of heuristic analysis are likely to grow. Improved algorithms and increased computational power will enable more efficient and accurate heuristic analyses. The advent of quantum computing could also revolutionize the field.<\/p>"},{"question":"How can proxy servers use heuristic analysis?","answer":"<p>Proxy servers can leverage heuristic analysis to enhance their security. Heuristics can be employed to analyze network traffic and identify patterns indicative of potential threats, like DDoS attacks or attempts at data breaches. Proxy servers like OneProxy can implement heuristic analysis to provide users with an added layer of protection.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/cn\/wp-json\/wp\/v2\/wiki\/477444","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/cn\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/cn\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/cn\/wp-json\/wp\/v2\/wiki\/477444\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/cn\/wp-json\/wp\/v2\/media\/468539"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/cn\/wp-json\/wp\/v2\/media?parent=477444"}],"curies":[{"name":"\u53ef\u6e7f\u6027\u7c89\u5242","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}