HTTP request pattern based signatures for early application layer DDoS detection: A firewall agnostic approach-Reference-Cited by-同舟云学术

HTTP request pattern based signatures for early application layer DDoS detection: A firewall agnostic approach

Published:2022-03 Issue: Volume:65 Page:103090
ISSN:2214-2126
Container-title:Journal of Information Security and Applications
language:en
Short-container-title:Journal of Information Security and Applications

Author:

Praseed Amit^ORCID,Thilagam P. Santhi

Funder

Ministry of Electronics and Information technology

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Safety, Risk, Reliability and Quality,Software

Reference53 articles.

1. NETSCOUT Arbor’s 13th annual worldwide infrastructure security report;Networks,2019

2. Antonakakis M, April T, Bailey M, Bernhard M, Bursztein E, Cochran J, Durumeric Z, Halderman JA, Invernizzi L, Kallitsis M et al. Understanding the mirai botnet. In: USENIX Security Symposium; 2017, p. 1092–1110.

3. The WireX Botnet: How industry collaboration disrupted a DDoS attack;Cochran,2017

4. Discriminating DDoS attacks from flash crowds using flow correlation coefficient;Yu;IEEE Trans Parallel Distrib Syst,2011

5. Ddos ATTACKS against CAUCASIAN KNOT;Labs,2019

Cited by 5 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 Novel Machine Learning Approach to Detect Application Layer DDoS Attacks;2024 5th International Conference for Emerging Technology (INCET);2024-05-24

2. Unsupervised GAN-Based Intrusion Detection System Using Temporal Convolutional Networks and Self-Attention;IEEE Transactions on Network and Service Management;2023-12

3. Application-Layer DDoS Attack Detection Using Explicit Duration Recurrent Network-Based Application-Layer Protocol Communication Models;International Journal of Intelligent Systems;2023-06-17

4. An Intelligent Approach to Improving the Performance of Threat Detection in IoT;IEEE Access;2023

5. Convolutional Neural Network-Based Automatic Diagnostic System for AL-DDoS Attacks Detection;International Journal of Cyber Warfare and Terrorism;2022-07-22