A Scalable, Real-Time Packet Capturing Solution
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Publisher
Springer International Publishing
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https://link.springer.com/content/pdf/10.1007/978-3-030-91885-9_46
Reference20 articles.
1. Cordero, C.G., Hauke, S., Muhlhauser, M., Fischer, M.: Analyzing flow-based anomaly intrusion detection using Replicator Neural Networks. In: 2016 14th Annual Conference on Privacy, Security and Trust, PST 2016, pp. 317–324. Institute of Electrical and Electronics Engineers Inc. (2016). https://doi.org/10.1109/PST.2016.7906980
2. Swinhoe, D.: The 15 biggest data breaches of the 21st century. CSO Online (2021). https://www.csoonline.com/article/2130877/the-biggest-data-breaches-of-the-21st-century.html
3. Do, E.H., Gadepally, V.N.: Classifying anomalies for network security. In: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2020, vol. 2020, pp. 2907–2911. Institute of Electrical and Electronics Engineers Inc. (May 2020). https://doi.org/10.1109/ICASSP40776.2020.9053419
4. Emmerich, P., Pudelko, M., Gallenmüller, S., Carle, G.: FlowScope: efficient packet capture and storage in 100 Gbit/s networks. In: 2017 IFIP Networking Conference, IFIP Networking 2017 and Workshops, January 2018, vol. 2018, pp. 1–9. Institute of Electrical and Electronics Engineers Inc. (July 2017). https://doi.org/10.23919/IFIPNetworking.2017.8264852
5. Evermann, J., Rehse, J.R., Fettke, P.: Process discovery from event stream data in the cloud - a scalable, distributed implementation of the flexible heuristics miner on the Amazon kinesis cloud infrastructure. In: Proceedings of the International Conference on Cloud Computing Technology and Science, CloudCom, pp. 645–652. IEEE Computer Society (July 2016). https://doi.org/10.1109/CloudCom.2016.0111
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1. Parameterization and Performance Analysis of a Scalable, near Real-Time Packet Capturing Platform;Systems;2024-04-07
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