Anomaly Detection
| Main Author: | Pescape', Antonio |
|---|---|
| Other Authors: | Dainotti, Alberto |
| Format: | Dataset |
| Terbitan: |
Mendeley
, 2017
|
| Subjects: | |
| Online Access: |
https:/data.mendeley.com/datasets/dkg3b6vz65 |
Daftar Isi:
- Time Series for Anomaly Detection The file is a Matlab data file. It contains 3 time series, representing the packet rate of 3 different traffic traces, related to inbound traffic of the UNINA Network. The traces were collected in year 2004. The packet rate was sampled with a period of 2 seconds and each trace lasts 2 hours. These data have been used for studies on volume-based anomaly detection and are related to time intervals during which no anomalies were observed on the UNINA network by the NOC operators. In other words, they can be considered anomaly-free. When refering to our Anomaly Detection Dataset, please cite the following reference: A. Dainotti, A. Pescapè, G. Ventre, "A cascade architecture for DoS attacks detection based on the wavelet transform", Journal of Computer Security, Volume 17, Number 6/2009, Pages 945-968.