| Publisher | Virginia Polytechnic Institute and State University | ||
|---|---|---|---|
| Format | 157.6KB PDF | Date added | 31 Jul 2006 |
| Topics | Network Security, Denial of Service, Intrusion Detection Systems | ||
| Downloads | 2 | ||
There is an emerging need for the traffic processing capability of network security mechanisms, such as Intrusion Detection Systems (IDS), to match the high throughput of today's high-bandwidth networks. Recent research has shown that the vast majority of security solutions deployed today is inadequate for processing traffic at a sufficiently high rate to keep pace with the network's bandwidth. To alleviate this problem, packet sampling schemes at the front end of network monitoring systems (such as an IDS) have been proposed. Satisfying such a criterion requires a sampling algorithm to be capable of controlling its sampling rate to provide sufficient accuracy at minimal overhead. To meet this utopian goal, adaptive sampling algorithms have been proposed. This paper puts forth an adaptive sampling algorithm based on weighted least squares prediction.
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