Misuse Detection and Response for Orchestrated Microservices Based Software
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-57942-4_22
Reference9 articles.
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2. Aktolga, I.T., Kuru, E.S., Sever, Y., Angin, P.: AI-driven container security approaches for 5G and beyond: a survey. ITU J-FET 4(2), 364–382 (2023). https://doi.org/10.52953/ZRCK3746
3. Chen, J., Huang, H., Chen, H.: Informer: irregular traffic detection for containerized microservices RPC in the real world. High-Confidence Comput. 2(2), 100,050 (2022). https://doi.org/10.1016/j.hcc.2022.100050
4. Cui, P., Umphress, D.: Towards unsupervised introspection of containerized application. In: 2020 the 10th International Conference on Communication and Network Security, ICCNS 2020, New York, NY, USA, pp. 42–51. Association for Computing Machinery (2021). https://doi.org/10.1145/3442520.3442530
5. Gan, Y., et al.: An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems. In: Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems, pp. 3–18. ACM, Providence RI USA (2019). https://doi.org/10.1145/3297858.3304013
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