DDoS Attack Forensics Pattern Identification using Entropy and Hurst Coefficient based Fusion Model
Author:
Affiliation:
1. Ramrao Adik Institute of Technology, D Y Patil Deemed to be University,Nerul Navi Mumbai,Maharashtra,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10126131/10126116/10126503.pdf?arnumber=10126503
Reference28 articles.
1. Emerging DDoS attack detection and mitigation strategies in software-defined networks: Taxonomy, challenges and future directions
2. A feature reduction based reflected and exploited DDoS attacks detection system
3. Statistical Properties of DDoS Attacks
4. Tensor based framework for Distributed Denial of Service attack detection
5. A stream position performance analysis model based on DDoS attack detection for cluster-based routing in VANET
Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. A Review of Detecting DDoS Attacks Based on Entropy Computation;2023 12th International Conference on System Modeling & Advancement in Research Trends (SMART);2023-12-22
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