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ACSAC
1999
IEEE
14 years 2 months ago
An Application of Machine Learning to Network Intrusion Detection
Differentiating anomalous network activity from normal network traffic is difficult and tedious. A human analyst must search through vast amounts of data to find anomalous sequenc...
Chris Sinclair, Lyn Pierce, Sara Matzner
FPGA
2008
ACM
161views FPGA» more  FPGA 2008»
13 years 11 months ago
Implementing high-speed string matching hardware for network intrusion detection systems
This paper presents high-throughput techniques for implementing FSM based string matching hardware on FPGAs. By taking advantage of the fact that string matching operations for di...
Atul Mahajan, Benfano Soewito, Sai K. Parsi, Ning ...
CSREASAM
2006
13 years 11 months ago
Network Intrusion Detection System with Data Mart
- Network Intrusion Detection Systems (NIDS) capture large amounts of data that is difficult or impractical to report and analyze directly from the capture device. It is also commo...
Richard Wasniowski
CSREASAM
2006
13 years 11 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...
EUROSEC
2010
ACM
14 years 4 months ago
Improving the accuracy of network intrusion detection systems under load using selective packet discarding
Under conditions of heavy traffic load or sudden traffic bursts, the peak processing throughput of network intrusion detection systems (NIDS) may not be sufficient for inspecting ...
Antonis Papadogiannakis, Michalis Polychronakis, E...