A Resource Consumption Attack Identification Method Based on Data Fusion
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-73562-3_11
Reference14 articles.
1. Palmieri, F., Fiore, U., Castiglione, A.: A distributed approach to network anomaly detection based on independent component analysis. Concurr. Comput. Pract. Exp. 26(5), 1113–1129 (2014)
2. Aborujilah, A., Musa, S.: Detecting TCP SYN based flooding attacks by analyzing CPU and network resources performance. In: International Conference on Advanced Computer Science Applications & Technologies. IEEE (2015)
3. Harshaw, C.R., Bridges, R.A., Iannacone, M.D. et al.: GraphPrints: towards a graph analytic method for network anomaly detection (2016)
4. Palmieri, F., Fiore, U.: Network anomaly detection through nonlinear analysis. Comput. Secur. 29(7), 737–755 (2010)
5. https://archive.ics.uci.edu/ml/datasets/Iris/
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