INSECS-DCS: A Highly Customizable Network Intrusion Dataset Creation Framework

Author:

Rajasinghe Nadun,Samarabandu Jagath,Wang Xianbin

Publisher

IEEE

Cited by 9 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 Framework for the Systematic Assessment of Anomaly Detectors in Time-Sensitive Automotive Networks;2024 IEEE Vehicular Networking Conference (VNC);2024-05-29

2. Towards Generating Semi-Synthetic Datasets for Network Intrusion Detection System;2023 International Conference on Information Networking (ICOIN);2023-01-11

3. Smart City Based on Open Data: A Survey;IEEE Access;2023

4. Intrusion Detection and Identification Using Tree-Based Machine Learning Algorithms on DCS Network in the Oil Refinery;IEEE Transactions on Power Systems;2022-11

5. CAD-IDS: A Cooperative Adaptive Distributed Intrusion Detection System with Fog Computing;2022 IEEE 25th International Conference on Computer Supported Cooperative Work in Design (CSCWD);2022-05-04

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