Sciweavers

988 search results - page 12 / 198
» Intrusion Detection with Neural Networks
Sort
View
ICAI
2008
13 years 9 months ago
Online Boosting Based Intrusion Detection in Changing Environments
Intrusion detection is an active research field in the development of reliable web-based information systems, where many artificial intelligence techniques are exploited to fit th...
Yanguo Wang, Weiming Hu, Xiaoqin Zhang
ICANNGA
2009
Springer
201views Algorithms» more  ICANNGA 2009»
14 years 2 months ago
A Novel Signal-Based Approach to Anomaly Detection in IDS Systems
In this paper we present our original methodology, in which Matching Pursuit is used for networks anomaly and intrusion detection. The architecture of anomaly-based IDS based on si...
Lukasz Saganowski, Michal Choras, Rafal Renk, Wito...
DSOM
2008
Springer
13 years 9 months ago
Trust Management for Host-Based Collaborative Intrusion Detection
The accuracy of detecting an intrusion within a network of intrusion detection systems (IDSes) depends on the efficiency of collaboration between member IDSes. The security itself ...
Carol J. Fung, Olga Baysal, Jie Zhang, Issam Aib, ...
CNSM
2010
13 years 5 months ago
Effective acquaintance management for Collaborative Intrusion Detection Networks
Abstract--An effective Collaborative Intrusion Detection Network (CIDN) allows distributed Intrusion Detection Systems (IDSes) to collaborate and share their knowledge and opinions...
Carol J. Fung, Jie Zhang, Raouf Boutaba
ICDCS
2006
IEEE
14 years 1 months ago
A DoS Resilient Flow-level Intrusion Detection Approach for High-speed Networks
Global-scale attacks like viruses and worms are increasing in frequency, severity and sophistication, making it critical to detect outbursts at routers/gateways instead of end hos...
Yan Gao, Zhichun Li, Yan Chen