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GECCO
2008
Springer
206views Optimization» more  GECCO 2008»
13 years 5 months ago
Improving accuracy of immune-inspired malware detectors by using intelligent features
In this paper, we show that a Bio-inspired classifier’s accuracy can be dramatically improved if it operates on intelligent features. We propose a novel set of intelligent feat...
M. Zubair Shafiq, Syed Ali Khayam, Muddassar Faroo...
GECCO
2008
Springer
196views Optimization» more  GECCO 2008»
13 years 5 months ago
A fuzzy-genetic approach to network intrusion detection
Computer networks have expanded significantly in use and numbers. This expansion makes them more vulnerable to attack by malicious agents. Many current intrusion detection systems...
Terrence P. Fries
CSREASAM
2006
13 years 6 months ago
Comparison of Two Sampling-Based Data Collection Mechanisms for Intrusion Detection System
- Data collection mechanism is a crucial factor for the performance of intrusion detection system (IDS). Simple random sampling and Stratified random sampling techniques of statist...
Kuo Zhao, Liang Hu, Guannan Gong, Meng Zhang, Kexi...
SP
1999
IEEE
194views Security Privacy» more  SP 1999»
13 years 8 months ago
Detecting Intrusions using System Calls: Alternative Data Models
Intrusion detection systems rely on a wide variety of observable data to distinguish between legitimate and illegitimate activities. In this paper we study one such observable-seq...
Christina Warrender, Stephanie Forrest, Barak A. P...
FCCM
2004
IEEE
133views VLSI» more  FCCM 2004»
13 years 8 months ago
A Methodology for Synthesis of Efficient Intrusion Detection Systems on FPGAs
Intrusion detection for network security is a computation intensive application demanding high system performance. System level design, a relatively unexplored field in this area,...
Zachary K. Baker, Viktor K. Prasanna