Network Security White Papers
Ensemble of One-Class Classifiers for Network Intrusion Detection System
Overview To achieve high accuracy while lowering false alarm rates are major challenges in designing an intrusion detection system. In addressing this issue, this paper proposes an ensemble of one-class classifiers where each uses different learning paradigms. The techniques deployed in this ensemble model are; Linear Genetic Programming (LGP), Adaptive Neural Fuzzy Inference System (ANFIS) and Random Forest (RF). The strengths from the individual models were evaluated and ensemble rule was formulated. Empirical results show an improvement in detection accuracy for all classes of network traffic; Normal, Probe, DoS, U2R and R2L.
| Publisher | Norwegian University of Science and Technology | File Format | |
|---|---|---|---|
| Date Published | May 2008 | ||
| Format | White Papers | ||
| Topics | |||
-
Did you find this white paper useful?
White Paper RSSBalancing Security Against Productivity
DownloadWhat makes for great security? Is it about keeping the bad guys out or letting the good guys in? About defending attacks or preventing them? When IDG Research Services queried...
Security: New strides in preventing intrusions.
Need help eliminating risk in your IT environment? This ForwardView webshow describes how security appliances, which incorporate an array of security functions, can help you ward off security breaches without...
MessageLabs Intelligence : 2009 security Predictions
Having analyzed the global threat landscape for almost a decade, MessageLabs Team Skeptic™ is comprised of many world-renowned malware and spam experts who have a global view of threats across...
IDC Vendor Spotlight
Organised ubiquity is a must for organisations to sucessfully "project" their users in any given landspace, at any given time, with secuirty policy. This White Paper covers issues surrounding secure...
Trend Micro Enterprise Security white paper
This white paper reviews the content security threat landscape and how it has evolved into a more dangerous and high risk environment. The paper discussed how conventional content security approaches...
