{ "item_title" : "Multi-Fractal Traffic and Anomaly Detection in Computer Communications", "item_author" : [" Ming Li "], "item_description" : "This book provides a comprehensive theory of mono- and multi-fractal traffic, including the basics of long-range dependent time series and 1/f noise, ergodicity and predictability of traffic, traffic modeling and simulation, stationarity tests of traffic, traffic measurement and the anomaly detection of traffic in communications networks.Proving that mono-fractal LRD time series is ergodic, the book exhibits that LRD traffic is stationary. The author shows that the stationarity of multi-fractal traffic relies on observation time scales, and proposes multi-fractional generalized Cauchy processes and modified multi-fractional Gaussian noise. The book also establishes a set of guidelines for determining the record length of traffic in measurement. Moreover, it presents an approach of traffic simulation, as well as the anomaly detection of traffic under distributed-denial-of service attacks.Scholars and graduates studying network traffic in computer science will find the book beneficial.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/1/03/240/846/1032408464_b.jpg", "price_data" : { "retail_price" : "110.99", "online_price" : "110.99", "our_price" : "110.99", "club_price" : "110.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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