A review on statistical approaches for anomaly detection in DDoS attacks
Author:
Affiliation:
1. Department of Computer, Buinzahra branch, Islamic Azad University, Buinzahra, Iran
Publisher
Informa UK Limited
Subject
Information Systems and Management,Computer Science Applications,Software
Link
https://www.tandfonline.com/doi/pdf/10.1080/19393555.2020.1717019
Reference57 articles.
1. DDoS Attacks Detection by Means of Statistical Models
2. Fractionally integrated generalized autoregressive conditional heteroskedasticity
3. Baskar, M., Gnanasekaran, T. & Vijay, J. F. (2018). Time variant predicate based traffic approximation algorithm for efficient low rate DDoS attack detection.
4. An empirical evaluation of information metrics for low-rate and high-rate DDoS attack detection
5. Detecting Distributed Denial of Service Attacks: Methods, Tools and Future Directions
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