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APNOMS
2008
Springer
14 years 11 months ago
Empirical Analysis of Application-Level Traffic Classification Using Supervised Machine Learning
Accurate application traffic classification and identification are important for network monitoring and analysis. The accuracy of traditional Internet application traffic classific...
Byungchul Park, Young J. Won, Mi-Jung Choi, Myung-...
IDEAL
2004
Springer
15 years 3 months ago
Detecting Worm Propagation Using Traffic Concentration Analysis and Inductive Learning
As a vast number of services have been flooding into the Internet, it is more likely for the Internet resources to be exposed to various hacking activities such as Code Red and SQL...
Sanguk Noh, Cheolho Lee, Keywon Ryu, Kyunghee Choi...
DSS
2006
170views more  DSS 2006»
14 years 9 months ago
Adoption of internet banking: An empirical study in Hong Kong
This study investigates how customers perceive and adopt Internet Banking (IB) in Hong Kong. We developed a theoretical model based on the Technology Acceptance Model (TAM) with a...
T. C. Edwin Cheng, David Y. C. Lam, Andy C. L. Yeu...
TELETRAFFIC
2007
Springer
15 years 3 months ago
Modeling and Predicting End-to-End Response Times in Multi-tier Internet Applications
Many Internet applications employ multi-tier software architectures. The performance of such multi-tier Internet applications is typically measured by the end-toend response times...
Sandjai Bhulai, Swaminathan Sivasubramanian, Rober...
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PADS
2005
ACM
15 years 3 months ago
Distributed Worm Simulation with a Realistic Internet Model
Internet worm spread is a phenomenon involving millions of hosts, who interact in complex and diverse environment. Scanning speed of each infected host depends on its resources an...
Songjie Wei, Jelena Mirkovic, D. Martin Swany