Name
Title | ||
|---|---|---|
Network security situation awareness based on heterogeneous multi-sensor data fusion and neural network |
Abstract | ||
|---|---|---|
Network Security Situation Awareness (NSSA) is a hot research realm in the area of network security, which helps security analysts to solve the challenges they encounter. This paper mainly focuses on a NSSA which is based on heterogeneous multi-sensor data fusion using neural network. We designed a NSSA model and discussed it in detail. We adopted Snort and NetFlow as sensors to gather real network traffic and fused them using a multi-layer feed-forward neural network that can solve a multi-class problem. We presented an effective and simple feature reduction approach to decrease the input vector and improve the real-time characteristic of fusion engine. In addition, we described a situation generation mechanism in order to provide the real security situation of the monitored networks. Our model is proved to be feasible and effective through a series of experiments, using real network traffic. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/IMSCCS.2007.15 | IMSCCS |
Keywords | Field | DocType |
neural network,network security,monitored network,real security situation,network traffic,heterogeneous multisensor data fusion,multiclass problem,netflow,real network traffic,multilayer feedforward neural network,feature reduction,nssa model,network security situation,feedforward neural nets,network monitoring,computer networks,telecommunication security,telecommunication traffic,security analyst,security analysis,multi-layer feed-forward neural network,heterogeneous multi-sensor data fusion,fusion engine,snort,sensor fusion,network security situation awareness,security of data,real time,situation awareness,feed forward neural network | Data mining,NetFlow,Computer science,Network security,Network simulation,Sensor fusion,Security analysis,Network monitoring,Artificial neural network,Network Access Control,Distributed computing | Conference |
ISBN | Citations | PageRank |
978-0-7695-3039-0 | 3 | 0.43 |
References | Authors | |
4 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Huiqiang Wang | 1 | 104 | 43.53 |
| Xiaowu Liu | 2 | 7 | 2.26 |
| Jibao Lai | 3 | 10 | 2.98 |
| Ying Liang | 4 | 5 | 3.55 |