An on-line intrusion detection approach to identify low-rate DoS attacks
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/6961037/6986962/06987039.pdf?arnumber=6987039
Cited by 16 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 Probabilistic Method to Identify HTTP/1.1 Slow Rate DoS Attacks;Communication and Intelligent Systems;2023
2. Enhancing Automatic Attack Detection through Spectral Decomposition of Network Flows;GLOBECOM 2022 - 2022 IEEE Global Communications Conference;2022-12-04
3. HTTP Low and Slow DoS Attack Detection using LSTM based deep learning;2022 IEEE 19th India Council International Conference (INDICON);2022-11-24
4. Application Layer Denial-of-Service Attacks and Defense Mechanisms;ACM Computing Surveys;2022-05-31
5. Leveraging Frame Aggregation in Wi-Fi IoT Networks for Low-Rate DDoS Attack Detection;Network and System Security;2022
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