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» Intrusion Detection using Continuous Time Bayesian Networks
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KDD
2003
ACM
148views Data Mining» more  KDD 2003»
14 years 8 months ago
Mining concept-drifting data streams using ensemble classifiers
Recently, mining data streams with concept drifts for actionable insights has become an important and challenging task for a wide range of applications including credit card fraud...
Haixun Wang, Wei Fan, Philip S. Yu, Jiawei Han
UAI
2008
13 years 9 months ago
Efficient Inference in Persistent Dynamic Bayesian Networks
Numerous temporal inference tasks such as fault monitoring and anomaly detection exhibit a persistence property: for example, if something breaks, it stays broken until an interve...
Tomás Singliar, Denver Dash
ACSAC
2009
IEEE
14 years 2 months ago
Online Sketching of Network Flows for Real-Time Stepping-Stone Detection
Abstract—We present an efficient and robust stepping-stone detection scheme based on succinct packet-timing sketches of network flows. The proposed scheme employs an online alg...
Baris Coskun, Nasir D. Memon
PST
2004
13 years 9 months ago
A novel visualization technique for network anomaly detection
Visualized information is a technique that can encode large amounts of complex interrelated data, being at the same time easily quantified, manipulated, and processed by a human us...
Iosif-Viorel Onut, Bin Zhu, Ali A. Ghorbani
MAM
2008
150views more  MAM 2008»
13 years 7 months ago
FPGA based string matching for network processing applications
String matching is a key problem in many network processing applications. Current implementations of this process using software are time consuming and cannot meet gigabit bandwid...
Janardhan Singaraju, John A. Chandy