Real-time Detection of DDoS Attacks Based on Hurst Index
Author:
Affiliation:
1. Electric Power Research Institute of Guangxi Power Grid Co., Ltd,Nanning,China
2. Guangxi Power Grid Co., Ltd,Nanning,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10175092/10175079/10175124.pdf?arnumber=10175124
Reference12 articles.
1. Modelling Behavioural Dynamics for Asymmetric Application Layer DDoS Detection;praseed;IEEE Transactions on Information Forensics and Security,2020
2. LION IDS: A meta-heuristics approach to detect DDoS attacks against Software-Defined Networks
3. Automated detection of epileptic seizures using successive decomposition index and support vector machine classifier in long-term EEG
4. DNS-ADVP: A Machine Learning Anomaly Detection and Visual Platform to Protect Top-Level Domain Name Servers Against DDoS Attacks
5. Detection and Mitigation of DDoS attacks in SDN: A Comprehensive Review, Research Challenges and Future Directions;behal;Computer Science Review,2020
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