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ISI
2007
Springer
14 years 11 months ago
Host Based Intrusion Detection using Machine Learning
—Detecting unknown malicious code (malcode) is a challenging task. Current common solutions, such as anti-virus tools, rely heavily on prior explicit knowledge of specific instan...
Robert Moskovitch, Shay Pluderman, Ido Gus, Dima S...
JCP
2006
173views more  JCP 2006»
14 years 11 months ago
Database Intrusion Detection using Weighted Sequence Mining
Data mining is widely used to identify interesting, potentially useful and understandable patterns from a large data repository. With many organizations focusing on webbased on-lin...
Abhinav Srivastava, Shamik Sural, Arun K. Majumdar
RAID
2000
Springer
15 years 2 months ago
A Real-Time Intrusion Detection System Based on Learning Program Behavior
Abstract. In practice, most computer intrusions begin by misusing programs in clever ways to obtain unauthorized higher levels of privilege. One e ective way to detect intrusive ac...
Anup K. Ghosh, Christoph C. Michael, Michael Schat...
CORR
2010
Springer
92views Education» more  CORR 2010»
14 years 9 months ago
Network Intrusion Detection Using FP Tree Rules
----------------------------------------------ABSTRACT-------------------------------------------In the faceless world of the Internet, online fraud is one of the greatest reasons ...
P. Srinivasulu, J. Ranga Rao, I. Ramesh Babu
IEEEARES
2008
IEEE
15 years 5 months ago
A Preliminary Investigation of Skype Traffic Classification Using a Minimalist Feature Set
In this work, AdaBoost and C4.5, are employed for classifying Skype direct (UDP and TCP) communications from traffic log files. Pre-processing is applied to the traffic data to ex...
Duffy Angevine, A. Nur Zincir-Heywood