دانلود مقاله ISI انگلیسی شماره 76886
ترجمه فارسی عنوان مقاله

تکنیک های تشخیص ناهنجاری برای یک سرویس مانیتورینگ بدشکل وب

عنوان انگلیسی
Anomaly detection techniques for a web defacement monitoring service
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
76886 2011 10 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Expert Systems with Applications, Volume 38, Issue 10, 15 September 2011, Pages 12521–12530

ترجمه کلمات کلیدی
امنیت؛ بدشکل وب؛ فراگیری ماشین
کلمات کلیدی انگلیسی
Security; Web defacement; Machine learning
پیش نمایش مقاله
پیش نمایش مقاله  تکنیک های تشخیص ناهنجاری برای یک سرویس مانیتورینگ بدشکل وب

چکیده انگلیسی

The defacement of web sites has become a widespread problem. Reaction to these incidents is often quite slow and triggered by occasional checks or even feedback from users, because organizations usually lack a systematic and round the clock surveillance of the integrity of their web sites. A more systematic approach is certainly desirable. An attractive option in this respect consists in augmenting availability and performance monitoring services with defacement detection capabilities. Motivated by these considerations, in this paper we assess the performance of several anomaly detection approaches when faced with the problem of detecting web defacements automatically. All these approaches construct a profile of the monitored page automatically,based on machine learning techniques, and raise an alert when the page content does not fit the profile. We assessed their performance in terms of false positives and false negatives on a dataset composed of 300 highly dynamic web pages that we observed for 3 months and includesa set of 320 real defacements.