The rise in frequency and volume of Distributed Denial of Service (DDoS) attacks has made
it a destructive weapon of attackers which can disrupt the services of any network including …

Network traffic classification, which can map network traffic to protocols in the application
layer, is a fundamental technique for network management and security issues such as …

This paper attempts to classify papers concerning DoS/DDoS attack detection using data
mining techniques. Thirty five papers were selected and carefully reviewed by authors from …

This article proposes a machine learning-based high-accuracy algorithm called “APPlication
Round method (APPR)” to identify network application traffic at the early stage. For each …

Transmission schemes in data centers are supposed to accurately distinguish flow types for
different scheduling. However, prior efforts failed to meet the needs at all levels in a cost …

Traffic classification has been widely used in networking and security issues. Previous works
have involved many different techniques for mapping traffic to the application. However, little …

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 …

Enhancing DDoS Flood Attack Detection via Intelligent Fuzzy Logic Page 1 Informatica 34 (2010)
497-507 497 Enhancing DDoS Flood Attack Detection via Intelligent Fuzzy Logic Zhengmin …

Teletraffic (traffic in short) modeling is crucial in the analysis and design of the infrastructure
of cyber-physical network systems from a view of traffic engineering. However, reports …

A network anomaly detector evaluates two complementary measurements of network
statistics, a time variation and correlation among those statistics, to provide an extremely …