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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Guo Fan Ye JiHua Yu Min |
| Copyright Year | 2009 |
| Description | Author affiliation: College of Computer Information Engineering, Jiangxi Normal University, Nanchang, China (Guo Fan; Ye JiHua; Yu Min) |
| Abstract | How to aggregate and reduce duplicated alerts from different IDSs is one of the most important problems in distributed IDS research area. The article proposes a distributed alert aggregation model composed of local components and network components. Local components transform raw alerts originating from traditional IDSs to IDMEF-based alerts with uniform format, which are sent to network components. Network components aggregate similar alerts into a meta-alert, using an aggregation algorithm based on category and feature similarity. A subscription-based communication mechanism is and multiple kinds of messages are also proposed to meet the demands of the communication between the components and to realize information share in the whole network. Experiments on DARPA99 data set indicated the effectiveness of the model. |
| Starting Page | 975 |
| Ending Page | 980 |
| File Size | 614619 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424435203 |
| DOI | 10.1109/ICCSE.2009.5228172 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-07-25 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Educational institutions Spatial databases Distributed computing Feature Similarity Computer science Design engineering Aggregates Intrusion detection Distributed databases IDS Computer science education Alert Aggregation |
| Content Type | Text |
| Resource Type | Article |
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