Network Traffic Synthesis and Simulation Framework for Cybersecurity Exercise Systems
Source abstract
Abstract
In the rapidly evolving field of cybersecurity, the challenge of providing realistic exercise scenarios that accurately mimic real-world threats has become increasingly critical. Traditional methods often fall short in captur... | Find, read and cite all the research you need on Tech Science Press
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Network Security and Intrusion Detection · Vehicular Ad Hoc Networks (VANETs)
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (30)
Show source-provided references
1. National cyber range overview
2. Integrated framework for hands-on cybersecurity training: CyTrONE10.1016/j.cose.2018.06.001 ↗
3. Cyber range infrastructure limitations and needs of tomorrow: A position paper
4. Knowledge enhanced GAN for IoT traffic generation
5. Network web traffic generator for cyber range exercises
6. Automatic and realistic traffic generation in a cyber range
7. Teaching information systems security courses: A hands-on approach10.1016/j.cose.2006.11.005 ↗
8. A security framework for SDN-enabled smart power grids
9. Modeling tabular data using conditional GAN
10. Train as you fight: Evaluating authentic cybersecurity training in cyber ranges
11. Hands-on cybersecurity training behavior data for process mining10.1016/j.dib.2023.109956 ↗
12. Cyber-physical battlefield platform for large-scale cybersecurity exercises
13. Modeling and executing cyber security exercise scenarios in cyber ranges10.1016/j.cose.2022.102635 ↗
14. Scenario design and validation for next generation cyber ranges
15. Serious games as a tool to model attack and defense scenarios for cyber-security exercises10.1016/j.cose.2021.102450 ↗
16. Ontology-based scenario modeling for cyber security exercise
17. Network traffic generation: A survey and methodology10.1145/3488375 ↗
18. Suresh · Machine Learning for Biometrics · 2022 · 177
19. PAC-GAN: Packet generation of network traffic using generative adversarial networks
20. FlowGAN-synthetic network flow generation using generative adversarial networks
21. PcapGAN: Packet capture file generator by style-based generative adversarial networks
22. Flow-based network traffic generation using generative adversarial networks10.1016/j.cose.2018.12.012 ↗
23. Manipulating network traffic to evade stepping-stone intrusion detection10.1016/j.iot.2018.08.011 ↗
24. Biondi · Scapy: The Python-Based Interactive Packet Manipulation Program & Library
25. Using Mininet for emulation and prototyping software-defined networks
26. Network programmability using POX controller
27. F. Klassen and AppNeta, “Tcpreplay-Pcap editing and replaying utilities,” AppNeta. Accessed: Jul. 23, 2024. [Online]. Available: https://tcpreplay.appneta.com
28. An SDN-based traffic matrix estimation framework10.1109/TNSM.2018.2867998 ↗
29. Netresec, “Capture files from Mid-Atlantic CCDC: MACCDC 2012,” Netresec, 2012. Accessed: Jul. 23, 2024. [Online]. Available: https://www.netresec.com/?page=MACCDC
30. GraphCWGAN-GP: A novel data augmenting approach for imbalanced encrypted traffic classification