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» Intrusion Detection using Continuous Time Bayesian Networks
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JAIR
2010
181views more  JAIR 2010»
12 years 11 months ago
Intrusion Detection using Continuous Time Bayesian Networks
Intrusion detection systems (IDSs) fall into two high-level categories: network-based systems (NIDS) that monitor network behaviors, and host-based systems (HIDS) that monitor sys...
Jing Xu, Christian R. Shelton
PVLDB
2010
172views more  PVLDB 2010»
13 years 2 months ago
Database-support for Continuous Prediction Queries over Streaming Data
Prediction is emerging as an essential ingredient for real-time monitoring, planning and decision support applications such as intrusion detection, e-commerce pricing and automate...
Mert Akdere, Ugur Çetintemel, Eli Upfal
VIZSEC
2005
Springer
13 years 10 months ago
IDGraphs: Intrusion Detection and Analysis Using Histographs
Traffic anomalies and attacks are commonplace in today’s networks and identifying them rapidly and accurately is critical for large network operators. For a statistical intrusi...
Pin Ren, Yan Gao, Zhichun Li, Yan Chen, Benjamin W...
CNSM
2010
13 years 2 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
NOMS
2010
IEEE
222views Communications» more  NOMS 2010»
13 years 2 months ago
Bayesian decision aggregation in collaborative intrusion detection networks
—Cooperation between intrusion detection systems (IDSs) allows collective information and experience from a network of IDSs to be shared to improve the accuracy of detection. A c...
Carol J. Fung, Quanyan Zhu, Raouf Boutaba, Tamer B...