publication . Article . 2010

MULTI-LEVEL SAMPLING APPROACH FOR CONTINOUS LOSS DETECTION USING ITERATIVE WINDOW AND STATISTICAL MODEL

Mohd Foad Rohani; Mohd Aizaini Maarof; Ali Selamat; Houssain Kettani;
Open Access English
  • Published: 01 Nov 2010 Journal: International Islamic University Malaysia Engineering Journal, volume 11, issue 2 (issn: 2289-7860, Copyright policy)
  • Publisher: IIUM Press, International Islamic University Malaysia
Abstract
<jats:p>This paper proposes a Multi-Level Sampling (MLS) approach for continuous Loss of Self-Similarity (LoSS) detection using iterative window. The method defines LoSS based on Second Order Self-Similarity (SOSS) statistical model. The Optimization Method (OM) is used to estimate self-similarity parameter since it is fast and more accurate in comparison with other estimation methods known in the literature. Probability of LoSS detection is introduced to measure continuous LoSS detection performance. The proposed method has been tested with real Internet traffic simulation dataset. The results demonstrate that normal traces have probability of LoSS detection be...
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Subjects
free text keywords: lcsh:Engineering (General). Civil engineering (General), lcsh:TA1-2040, Algorithm, Computer science, Statistical model, Internet traffic, Sampling (statistics), Detection performance, Estimation methods
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