کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
449505 693676 2007 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Detecting Denial-of-Service attacks using the wavelet transform
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر شبکه های کامپیوتری و ارتباطات
پیش نمایش صفحه اول مقاله
Detecting Denial-of-Service attacks using the wavelet transform
چکیده انگلیسی

Anomaly-based intrusion detection is a crucial research issue as it permits to identify attacks that does not necessarily have known signatures. However, approaches using anomalies often consume more resources than those based on misuse detection and have a higher false alarm rate. This paper presents an efficient anomaly analysis method that is proved to be more efficient and less complex than the existing techniques. The approach relies on monitoring the security state by using a set of accurate metrics. The Wavelet Transform (WT) is used to decompose these metrics in the time-scale space. Attacks are viewed as Lipschitz singularities that arise in some specific points of time. Henceforth, the anomaly detection process is performed through processing the signals representing the metrics. The proposed approach is also shown to be extensible to the case where the monitoring points, used to gather the measurable features, are distributed according to the network topology.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computer Communications - Volume 30, Issue 16, 3 November 2007, Pages 3203–3213
نویسندگان
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