{"id":475860,"date":"2023-08-09T07:23:51","date_gmt":"2023-08-09T07:23:51","guid":{"rendered":""},"modified":"2023-09-05T11:11:25","modified_gmt":"2023-09-05T11:11:25","slug":"anomaly-based-detection","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/jp\/wiki\/anomaly-based-detection\/","title":{"rendered":"\u7570\u5e38\u30d9\u30fc\u30b9\u306e\u691c\u51fa"},"content":{"rendered":"<p>\u7570\u5e38\u30d9\u30fc\u30b9\u306e\u691c\u51fa\u306f\u3001\u30b7\u30b9\u30c6\u30e0\u5185\u306e\u7570\u5e38\u306a\u52d5\u4f5c\u3084\u30a2\u30af\u30c6\u30a3\u30d3\u30c6\u30a3\u3092\u8a8d\u8b58\u3059\u308b\u30b5\u30a4\u30d0\u30fc\u8105\u5a01\u8b58\u5225\u65b9\u6cd5\u3067\u3059\u3002\u3053\u306e\u6280\u8853\u306f\u3001\u78ba\u7acb\u3055\u308c\u305f\u57fa\u6e96\u304b\u3089\u9038\u8131\u3057\u305f\u7570\u5e38\u306a\u30d1\u30bf\u30fc\u30f3\u3092\u8b58\u5225\u3059\u308b\u3053\u3068\u306b\u91cd\u70b9\u3092\u7f6e\u3044\u3066\u304a\u308a\u3001\u6f5c\u5728\u7684\u306a\u30b5\u30a4\u30d0\u30fc\u8105\u5a01\u3092\u6b63\u78ba\u306b\u7279\u5b9a\u3057\u307e\u3059\u3002<\/p>\n<h2>\u7570\u5e38\u691c\u51fa\u306e\u59cb\u307e\u308a\u3068\u9032\u5316<\/h2>\n<p>\u7570\u5e38\u30d9\u30fc\u30b9\u306e\u691c\u51fa\u306e\u6982\u5ff5\u306f\u30011980 \u5e74\u4ee3\u5f8c\u534a\u306b\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30fc \u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u306e\u5206\u91ce\u3067\u521d\u3081\u3066\u767b\u5834\u3057\u307e\u3057\u305f\u3002\u3053\u306e\u5206\u91ce\u306e\u5148\u99c6\u7684\u306a\u7814\u7a76\u8005\u3067\u3042\u308b Dorothy Denning \u306f\u3001\u30e6\u30fc\u30b6\u30fc\u884c\u52d5\u306e\u30d7\u30ed\u30d5\u30a1\u30a4\u30ea\u30f3\u30b0\u306b\u57fa\u3065\u304f\u4fb5\u5165\u691c\u51fa\u30e2\u30c7\u30eb\u3092\u5c0e\u5165\u3057\u307e\u3057\u305f\u3002\u3053\u306e\u30e2\u30c7\u30eb\u306f\u3001\u30e6\u30fc\u30b6\u30fc\u306e\u6a19\u6e96\u7684\u306a\u884c\u52d5\u304b\u3089\u5927\u304d\u304f\u9038\u8131\u3059\u308b\u30a2\u30af\u30c6\u30a3\u30d3\u30c6\u30a3\u306f\u3059\u3079\u3066\u4fb5\u5165\u3068\u3057\u3066\u5206\u985e\u3055\u308c\u308b\u53ef\u80fd\u6027\u304c\u3042\u308b\u3068\u3044\u3046\u524d\u63d0\u306b\u57fa\u3065\u3044\u3066\u3044\u307e\u3057\u305f\u3002\u3053\u308c\u306f\u3001\u7570\u5e38\u30d9\u30fc\u30b9\u306e\u691c\u51fa\u306b\u95a2\u3059\u308b\u6700\u521d\u306e\u91cd\u8981\u306a\u7814\u7a76\u3067\u3057\u305f\u3002<\/p>\n<p>\u7570\u5e38\u30d9\u30fc\u30b9\u306e\u691c\u51fa\u306f\u3001\u9577\u5e74\u306b\u308f\u305f\u308a\u3001\u4eba\u5de5\u77e5\u80fd (AI) \u3068\u6a5f\u68b0\u5b66\u7fd2 (ML) \u306e\u9032\u6b69\u3068\u4e26\u884c\u3057\u3066\u9032\u5316\u3057\u3066\u304d\u307e\u3057\u305f\u3002\u30b5\u30a4\u30d0\u30fc\u8105\u5a01\u304c\u8907\u96d1\u5316\u3059\u308b\u306b\u3064\u308c\u3066\u3001\u305d\u308c\u306b\u5bfe\u6297\u3059\u308b\u30e1\u30ab\u30cb\u30ba\u30e0\u3082\u8907\u96d1\u5316\u3057\u307e\u3057\u305f\u3002\u30d1\u30bf\u30fc\u30f3\u3092\u8a8d\u8b58\u3057\u3001\u901a\u5e38\u306e\u30a2\u30af\u30c6\u30a3\u30d3\u30c6\u30a3\u3068\u6f5c\u5728\u7684\u306b\u6709\u5bb3\u306a\u30a2\u30af\u30c6\u30a3\u30d3\u30c6\u30a3\u3092\u8b58\u5225\u3059\u308b\u305f\u3081\u306e\u9ad8\u5ea6\u306a\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u304c\u958b\u767a\u3055\u308c\u307e\u3057\u305f\u3002<\/p>\n<h2>\u7570\u5e38\u691c\u51fa\u306e\u62e1\u5f35<\/h2>\n<p>\u7570\u5e38\u30d9\u30fc\u30b9\u306e\u691c\u51fa\u306f\u3001\u5178\u578b\u7684\u306a\u30b7\u30b9\u30c6\u30e0\u52d5\u4f5c\u304b\u3089\u306e\u9038\u8131\u3092\u5206\u6790\u3059\u308b\u3053\u3068\u3067\u8105\u5a01\u3092\u7279\u5b9a\u3057\u3001\u8efd\u6e1b\u3059\u308b\u30b5\u30a4\u30d0\u30fc\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u6280\u8853\u3067\u3059\u3002\u3053\u306e\u6280\u8853\u3067\u306f\u3001\u300c\u901a\u5e38\u306e\u300d\u52d5\u4f5c\u306e\u30d9\u30fc\u30b9\u30e9\u30a4\u30f3\u3092\u4f5c\u6210\u3057\u3001\u3053\u306e\u78ba\u7acb\u3055\u308c\u305f\u57fa\u6e96\u306b\u5bfe\u3057\u3066\u30b7\u30b9\u30c6\u30e0 \u30a2\u30af\u30c6\u30a3\u30d3\u30c6\u30a3\u3092\u7d99\u7d9a\u7684\u306b\u76e3\u8996\u3057\u307e\u3059\u3002\u89b3\u5bdf\u3055\u308c\u305f\u52d5\u4f5c\u3068\u30d9\u30fc\u30b9\u30e9\u30a4\u30f3\u306e\u9593\u306b\u77db\u76fe\u304c\u3042\u308b\u5834\u5408\u306f\u3001\u6f5c\u5728\u7684\u306a\u30b5\u30a4\u30d0\u30fc\u8105\u5a01\u3092\u793a\u3057\u3066\u3044\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u3001\u3055\u3089\u306b\u5206\u6790\u3059\u308b\u305f\u3081\u306b\u30a2\u30e9\u30fc\u30c8\u304c\u30c8\u30ea\u30ac\u30fc\u3055\u308c\u307e\u3059\u3002<\/p>\n<p>\u6f5c\u5728\u7684\u306a\u653b\u6483\u3092\u8b58\u5225\u3059\u308b\u305f\u3081\u306b\u65e2\u77e5\u306e\u8105\u5a01\u30d1\u30bf\u30fc\u30f3\u3092\u5fc5\u8981\u3068\u3059\u308b\u30b7\u30b0\u30cd\u30c1\u30e3\u30d9\u30fc\u30b9\u306e\u691c\u51fa\u3068\u306f\u5bfe\u7167\u7684\u306b\u3001\u7570\u5e38\u30d9\u30fc\u30b9\u306e\u691c\u51fa\u3067\u306f\u3001\u7570\u5e38\u306a\u52d5\u4f5c\u306b\u7126\u70b9\u3092\u5f53\u3066\u308b\u3053\u3068\u3067\u3001\u672a\u77e5\u306e\u653b\u6483\u3084\u30bc\u30ed\u30c7\u30a4\u653b\u6483\u3092\u8b58\u5225\u3067\u304d\u307e\u3059\u3002<\/p>\n<h2>\u7570\u5e38\u691c\u51fa\u306e\u4ed5\u7d44\u307f<\/h2>\n<p>\u7570\u5e38\u30d9\u30fc\u30b9\u306e\u691c\u51fa\u306f\u3001\u4e3b\u306b\u5b66\u7fd2\u3068\u691c\u51fa\u306e 2 \u3064\u306e\u30d5\u30a7\u30fc\u30ba\u3067\u52d5\u4f5c\u3057\u307e\u3059\u3002<\/p>\n<p>\u5b66\u7fd2\u30d5\u30a7\u30fc\u30ba\u3067\u306f\u3001\u30b7\u30b9\u30c6\u30e0\u306f\u5c65\u6b74\u30c7\u30fc\u30bf\u3092\u4f7f\u7528\u3057\u3066\u6b63\u5e38\u306a\u52d5\u4f5c\u3092\u8868\u3059\u7d71\u8a08\u30e2\u30c7\u30eb\u3092\u78ba\u7acb\u3057\u307e\u3059\u3002\u3053\u306e\u30e2\u30c7\u30eb\u306b\u306f\u3001\u30cd\u30c3\u30c8\u30ef\u30fc\u30af \u30c8\u30e9\u30d5\u30a3\u30c3\u30af \u30d1\u30bf\u30fc\u30f3\u3001\u30b7\u30b9\u30c6\u30e0\u4f7f\u7528\u7387\u3001\u30e6\u30fc\u30b6\u30fc \u30a2\u30af\u30c6\u30a3\u30d3\u30c6\u30a3 \u30d1\u30bf\u30fc\u30f3\u306a\u3069\u3001\u3055\u307e\u3056\u307e\u306a\u52d5\u4f5c\u8981\u56e0\u304c\u542b\u307e\u308c\u307e\u3059\u3002<\/p>\n<p>\u691c\u51fa\u30d5\u30a7\u30fc\u30ba\u3067\u306f\u3001\u30b7\u30b9\u30c6\u30e0\u306f\u73fe\u5728\u306e\u52d5\u4f5c\u3092\u7d99\u7d9a\u7684\u306b\u76e3\u8996\u3057\u3001\u78ba\u7acb\u3055\u308c\u305f\u30e2\u30c7\u30eb\u3068\u6bd4\u8f03\u3057\u307e\u3059\u3002\u89b3\u5bdf\u3055\u308c\u305f\u52d5\u4f5c\u304c\u30e2\u30c7\u30eb\u304b\u3089\u5927\u5e45\u306b\u9038\u8131\u3057\u3066\u3044\u308b\u5834\u5408 (\u5b9a\u7fa9\u3055\u308c\u305f\u3057\u304d\u3044\u5024\u3092\u8d85\u3048\u3066\u3044\u308b\u5834\u5408)\u3001\u6f5c\u5728\u7684\u306a\u7570\u5e38\u3092\u793a\u3059\u30a2\u30e9\u30fc\u30c8\u304c\u30c8\u30ea\u30ac\u30fc\u3055\u308c\u307e\u3059\u3002<\/p>\n<h2>\u7570\u5e38\u691c\u51fa\u306e\u4e3b\u306a\u7279\u5fb4<\/h2>\n<ul>\n<li><strong>\u30d7\u30ed\u30a2\u30af\u30c6\u30a3\u30d6\u691c\u51fa<\/strong>: \u672a\u77e5\u306e\u8105\u5a01\u3084\u30bc\u30ed\u30c7\u30a4\u653b\u6483\u3092\u8b58\u5225\u3067\u304d\u307e\u3059\u3002<\/li>\n<li><strong>\u884c\u52d5\u5206\u6790<\/strong>: \u30e6\u30fc\u30b6\u30fc\u3001\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3001\u30b7\u30b9\u30c6\u30e0\u306e\u52d5\u4f5c\u3092\u8abf\u3079\u3066\u8105\u5a01\u3092\u691c\u51fa\u3057\u307e\u3059\u3002<\/li>\n<li><strong>\u9069\u5fdc\u6027<\/strong>: \u6642\u9593\u306e\u7d4c\u904e\u3068\u3068\u3082\u306b\u30b7\u30b9\u30c6\u30e0\u306e\u52d5\u4f5c\u306e\u5909\u5316\u306b\u9069\u5fdc\u3057\u3001\u8aa4\u691c\u77e5\u3092\u6e1b\u3089\u3057\u307e\u3059\u3002<\/li>\n<li><strong>\u5168\u4f53\u7684\u30a2\u30d7\u30ed\u30fc\u30c1<\/strong>: \u65e2\u77e5\u306e\u8105\u5a01\u30b7\u30b0\u30cd\u30c1\u30e3\u3060\u3051\u306b\u7126\u70b9\u3092\u5f53\u3066\u308b\u306e\u3067\u306f\u306a\u304f\u3001\u3088\u308a\u5e83\u7bc4\u306a\u4fdd\u8b77\u3092\u63d0\u4f9b\u3057\u307e\u3059\u3002<\/li>\n<\/ul>\n<h2>\u7570\u5e38\u691c\u51fa\u306e\u7a2e\u985e<\/h2>\n<p>\u7570\u5e38\u30d9\u30fc\u30b9\u306e\u691c\u51fa\u65b9\u6cd5\u306b\u306f\u3001\u4e3b\u306b\u6b21\u306e 3 \u7a2e\u985e\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<table>\n<thead>\n<tr>\n<th>\u65b9\u6cd5<\/th>\n<th>\u8aac\u660e<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\u7d71\u8a08\u7684\u7570\u5e38\u691c\u51fa<\/td>\n<td>\u7d71\u8a08\u30e2\u30c7\u30eb\u3092\u4f7f\u7528\u3057\u3066\u3001\u4e88\u60f3\u3055\u308c\u308b\u52d5\u4f5c\u304b\u3089\u306e\u5927\u304d\u306a\u9038\u8131\u3092\u8b58\u5225\u3057\u307e\u3059\u3002<\/td>\n<\/tr>\n<tr>\n<td>\u6a5f\u68b0\u5b66\u7fd2\u30d9\u30fc\u30b9\u306e\u691c\u51fa<\/td>\n<td>AI \u304a\u3088\u3073 ML \u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u5229\u7528\u3057\u3066\u3001\u6a19\u6e96\u304b\u3089\u306e\u9038\u8131\u3092\u8b58\u5225\u3057\u307e\u3059\u3002<\/td>\n<\/tr>\n<tr>\n<td>\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u52d5\u4f5c\u7570\u5e38\u691c\u51fa (NBAD)<\/td>\n<td>\u7279\u306b\u30cd\u30c3\u30c8\u30ef\u30fc\u30af \u30c8\u30e9\u30d5\u30a3\u30c3\u30af\u306b\u7126\u70b9\u3092\u5f53\u3066\u3066\u3001\u7570\u5e38\u306a\u30d1\u30bf\u30fc\u30f3\u3084\u30a2\u30af\u30c6\u30a3\u30d3\u30c6\u30a3\u3092\u8b58\u5225\u3057\u307e\u3059\u3002<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>\u7570\u5e38\u691c\u51fa\u306e\u4f7f\u7528: \u8ab2\u984c\u3068\u89e3\u6c7a\u7b56<\/h2>\n<p>\u7570\u5e38\u30d9\u30fc\u30b9\u306e\u691c\u51fa\u306f\u30b5\u30a4\u30d0\u30fc\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u306b\u5bfe\u3059\u308b\u9ad8\u5ea6\u306a\u30a2\u30d7\u30ed\u30fc\u30c1\u3092\u63d0\u4f9b\u3057\u307e\u3059\u304c\u3001\u4e3b\u306b\u300c\u6b63\u5e38\u306a\u300d\u52d5\u4f5c\u3092\u5b9a\u7fa9\u3057\u3001\u8aa4\u691c\u77e5\u3092\u51e6\u7406\u3059\u308b\u3053\u3068\u306e\u96e3\u3057\u3055\u306b\u3088\u308a\u3001\u8ab2\u984c\u3082\u751f\u3058\u307e\u3059\u3002<\/p>\n<p><strong>\u6b63\u5e38\u306e\u5b9a\u7fa9<\/strong>: \u300c\u6b63\u5e38\u300d\u306e\u5b9a\u7fa9\u306f\u3001\u30e6\u30fc\u30b6\u30fc\u306e\u884c\u52d5\u306e\u5909\u5316\u3001\u30b7\u30b9\u30c6\u30e0\u306e\u66f4\u65b0\u3001\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u5909\u66f4\u306a\u3069\u306b\u3088\u308a\u3001\u6642\u9593\u306e\u7d4c\u904e\u3068\u3068\u3082\u306b\u5909\u5316\u3059\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002\u3053\u308c\u3092\u514b\u670d\u3059\u308b\u306b\u306f\u3001\u30b7\u30b9\u30c6\u30e0\u3092\u5b9a\u671f\u7684\u306b\u518d\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3057\u3066\u3001\u3053\u308c\u3089\u306e\u5909\u5316\u306b\u9069\u5fdc\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<p><strong>\u8aa4\u691c\u77e5\u306e\u51e6\u7406<\/strong>: \u7570\u5e38\u30d9\u30fc\u30b9\u306e\u30b7\u30b9\u30c6\u30e0\u3067\u306f\u3001\u7570\u5e38\u691c\u51fa\u306e\u3057\u304d\u3044\u5024\u304c\u654f\u611f\u3059\u304e\u308b\u3068\u8aa4\u5831\u304c\u767a\u751f\u3059\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002\u3053\u306e\u554f\u984c\u306f\u3001\u30b7\u30b9\u30c6\u30e0\u306e\u611f\u5ea6\u3092\u5fae\u8abf\u6574\u3057\u3001\u904e\u53bb\u306e\u691c\u51fa\u304b\u3089\u5b66\u7fd2\u3059\u308b\u30d5\u30a3\u30fc\u30c9\u30d0\u30c3\u30af \u30e1\u30ab\u30cb\u30ba\u30e0\u3092\u7d44\u307f\u8fbc\u3080\u3053\u3068\u3067\u8efd\u6e1b\u3067\u304d\u307e\u3059\u3002<\/p>\n<h2>\u985e\u4f3c\u306e\u30a2\u30d7\u30ed\u30fc\u30c1\u3068\u306e\u6bd4\u8f03<\/h2>\n<table>\n<thead>\n<tr>\n<th>\u30a2\u30d7\u30ed\u30fc\u30c1<\/th>\n<th>\u7279\u5fb4<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\u30b7\u30b0\u30cd\u30c1\u30e3\u30d9\u30fc\u30b9\u306e\u691c\u51fa<\/td>\n<td>\u65e2\u77e5\u306e\u8105\u5a01\u306e\u30b7\u30b0\u30cd\u30c1\u30e3\u306b\u4f9d\u5b58\u3057\u3001\u65e2\u77e5\u306e\u8105\u5a01\u306b\u9650\u5b9a\u3055\u308c\u3001\u8aa4\u691c\u77e5\u304c\u5c11\u306a\u3044<\/td>\n<\/tr>\n<tr>\n<td>\u7570\u5e38\u691c\u51fa<\/td>\n<td>\u6b63\u5e38\u304b\u3089\u306e\u9038\u8131\u3092\u691c\u51fa\u3057\u3001\u672a\u77e5\u306e\u8105\u5a01\u3084\u8aa4\u691c\u77e5\u7387\u306e\u9ad8\u3055\u3092\u691c\u51fa\u3067\u304d\u308b<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>\u7570\u5e38\u691c\u51fa\u306e\u672a\u6765<\/h2>\n<p>\u7570\u5e38\u30d9\u30fc\u30b9\u306e\u691c\u51fa\u306e\u5c06\u6765\u306f\u3001\u9ad8\u5ea6\u306a AI \u3068 ML \u6280\u8853\u3092\u6d3b\u7528\u3057\u3066\u691c\u51fa\u6a5f\u80fd\u3092\u5411\u4e0a\u3055\u305b\u3001\u8aa4\u691c\u77e5\u3092\u6700\u5c0f\u9650\u306b\u6291\u3048\u3001\u9032\u5316\u3057\u7d9a\u3051\u308b\u30b5\u30a4\u30d0\u30fc\u8105\u5a01\u306b\u9069\u5fdc\u3059\u308b\u3053\u3068\u306b\u3042\u308a\u307e\u3059\u3002\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u3084\u30cb\u30e5\u30fc\u30e9\u30eb \u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306a\u3069\u306e\u6982\u5ff5\u306f\u3001\u7570\u5e38\u30d9\u30fc\u30b9\u306e\u691c\u51fa\u30b7\u30b9\u30c6\u30e0\u3092\u6539\u826f\u3059\u308b\u4e0a\u3067\u6709\u671b\u3067\u3059\u3002<\/p>\n<h2>\u30d7\u30ed\u30ad\u30b7\u30b5\u30fc\u30d0\u30fc\u3068\u7570\u5e38\u691c\u51fa<\/h2>\n<p>OneProxy \u304c\u63d0\u4f9b\u3059\u308b\u3088\u3046\u306a\u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u306f\u3001\u7570\u5e38\u30d9\u30fc\u30b9\u306e\u691c\u51fa\u3092\u5b9f\u88c5\u3059\u308b\u3053\u3068\u3067\u30e1\u30ea\u30c3\u30c8\u3092\u5f97\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u30c8\u30e9\u30d5\u30a3\u30c3\u30af \u30d1\u30bf\u30fc\u30f3\u3068\u52d5\u4f5c\u3092\u76e3\u8996\u3059\u308b\u3053\u3068\u3067\u3001\u7570\u5e38\u306a\u30c8\u30e9\u30d5\u30a3\u30c3\u30af\u306e\u6025\u5897\u3001\u5947\u5999\u306a\u30ed\u30b0\u30a4\u30f3 \u30d1\u30bf\u30fc\u30f3\u3001\u7570\u5e38\u306a\u30c7\u30fc\u30bf\u8981\u6c42\u306a\u3069\u306e\u7570\u5e38\u3092\u7279\u5b9a\u3057\u3001DDoS \u653b\u6483\u3001\u30d6\u30eb\u30fc\u30c8 \u30d5\u30a9\u30fc\u30b9\u653b\u6483\u3001\u30c7\u30fc\u30bf\u4fb5\u5bb3\u306a\u3069\u306e\u8105\u5a01\u3092\u793a\u5506\u3059\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<h2>\u95a2\u9023\u30ea\u30f3\u30af<\/h2>\n<ul>\n<li><a href=\"https:\/\/www.forbes.com\/sites\/forbestechcouncil\/2021\/01\/15\/the-role-of-anomaly-detection-in-cybersecurity\/\" target=\"_new\" rel=\"noopener nofollow\">\u30b5\u30a4\u30d0\u30fc\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u306b\u304a\u3051\u308b\u7570\u5e38\u691c\u51fa\u306e\u5f79\u5272<\/a><\/li>\n<li><a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0167404820301650\" target=\"_new\" rel=\"noopener nofollow\">\u7570\u5e38\u691c\u51fa\u3092\u7406\u89e3\u3059\u308b<\/a><\/li>\n<li><a href=\"https:\/\/www.researchgate.net\/publication\/323225434_Advancements_in_anomaly-based_intrusion_detection_systems_A_review_paper\" target=\"_new\" rel=\"noopener nofollow\">\u7570\u5e38\u691c\u51fa\u6280\u8853\u306e\u9032\u6b69<\/a><\/li>\n<li><a href=\"https:\/\/www.researchgate.net\/publication\/341676308_The_use_of_AI_and_ML_in_anomaly_detection_A_survey\" target=\"_new\" rel=\"noopener nofollow\">\u7570\u5e38\u691c\u51fa\u306b\u304a\u3051\u308b AI \u3068 ML \u306e\u6d3b\u7528<\/a><\/li>\n<\/ul>","protected":false},"featured_media":475604,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-475860","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>Anomaly-Based Detection: Securing Cyberspace Through Advanced Threat Identification<\/mark>","faq_items":[{"question":"What is Anomaly-Based Detection?","answer":"<p>Anomaly-based detection is a cybersecurity technique that identifies and mitigates threats by analyzing deviations from typical system behavior. It involves creating a baseline of 'normal' behaviors and continuously monitoring system activities against this established norm. Any discrepancy between observed behavior and the baseline may signify a potential cyber threat, triggering an alert for further analysis.<\/p>"},{"question":"When was Anomaly-Based Detection first introduced?","answer":"<p>The concept of anomaly-based detection first surfaced in the realm of computer security in the late 1980s. Dorothy Denning, a pioneering researcher in the field, introduced an intrusion detection model based on user behavior profiling.<\/p>"},{"question":"How does Anomaly-Based Detection work?","answer":"<p>Anomaly-based detection primarily operates in two phases\u2014learning and detection. In the learning phase, the system establishes a statistical model representing normal behavior using historical data. In the detection phase, the system continually monitors and compares the current behavior against the established model. If an observed behavior significantly deviates from the model\u2014surpassing a defined threshold\u2014an alert is triggered, indicating a potential anomaly.<\/p>"},{"question":"What are the key features of Anomaly-Based Detection?","answer":"<p>The key features of anomaly-based detection include proactive detection, behavioral analysis, adaptability, and a holistic approach. It is capable of identifying unknown threats, examining user, network, and system behavior to detect threats, adjusting to changes in system behavior over time, and offering broader protection by not focusing solely on known threat signatures.<\/p>"},{"question":"What types of Anomaly-Based Detection exist?","answer":"<p>There are primarily three types of anomaly-based detection methods: Statistical Anomaly Detection, Machine Learning-Based Detection, and Network Behavior Anomaly Detection (NBAD). Each method has its specific focus but all aim to identify deviations from the norm that may signify cyber threats.<\/p>"},{"question":"What are the challenges and solutions related to the use of Anomaly-Based Detection?","answer":"<p>The main challenges with anomaly-based detection include defining 'normal' behavior and handling false positives. These can be mitigated by periodically retraining the system to adjust to changes in user behavior, system updates, or network changes, and by fine-tuning the system's sensitivity and incorporating feedback mechanisms to learn from past detections.<\/p>"},{"question":"How do Anomaly-Based Detection and Signature-Based Detection compare?","answer":"<p>While both are cybersecurity techniques, Signature-Based Detection relies on known signatures of threats and is thus limited to known threats, with lower false positives. On the other hand, Anomaly-Based Detection detects deviations from normal behavior and is capable of detecting unknown threats, but it may result in higher false positives.<\/p>"},{"question":"How can proxy servers benefit from Anomaly-Based Detection?","answer":"<p>Proxy servers can benefit from implementing anomaly-based detection. By monitoring traffic patterns and behaviors, anomalies such as unusual traffic spikes, odd login patterns, or abnormal data requests can be identified, potentially indicating threats like DDoS attacks, brute force attacks, or data breaches.<\/p>"},{"question":"What does the future hold for Anomaly-Based Detection?","answer":"<p>The future of anomaly-based detection lies in leveraging advanced AI and ML techniques to improve detection capabilities, minimize false positives, and adapt to ever-evolving cyber threats. Concepts like deep learning and neural networks hold promise in refining anomaly-based detection systems.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/wiki\/475860","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/wiki\/475860\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/media\/475604"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/media?parent=475860"}],"curies":[{"name":"\u3046\u30fc\u3093","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}