Acknowledgement
본 논문은 2024년도 산업통상자원부 및 한국산업기술진흥원의 산업혁신인재성장지원사업 (RS-2024-00415520)과 과학기술정보통신부 및 정보통신기획평가원의ICT혁신인재4.0 사업의 연구결과로 수행되었음 (No. IITP-2022-RS-2022-00156310)
References
- Google Cloud, "Threat Horizons Cloud Threat Intelligence 2021," https://bit.ly/41THxbT, 2021
- Sysdig, Cloud Native Security and Usage Report, https://sysdig.com/2022-cloud-native-security-and-usage-report/, 2022
- Gomes, Fabio, and Miguel Correia, "Cryptojacking detection with cpu usage metrics.", 2020 IEEE 19th International Symposium on Network Computing and Applications (NCA), 1-10, 2020.
- Saide, Saide Manuel, Ednilson Luis Alfredo Sarmento, and Felermino DMA Ali, "Cryptojacking Malware Detection in Docker Images Using Supervised Machine Learning.", International Conference on Intelligent and Innovative Computing Applications, 49-56, 2022.
- Karn, Rupesh Raj, et al, "Cryptomining detection in container clouds using system calls and explainable machine learning.", IEEE transactions on parallel and distributed systems, 32(3), 674-691, 2020. https://doi.org/10.1109/TPDS.2020.3029088
- https://tetragon.io/
- https://github.com/eldadru/ksniff
- https://github.com/ahlashkari/CICFlowMeter
- https://minikube.sigs.k8s.io/docs/start/
- https://hub.docker.com/r/miningcontainers/xmrig
- https://hub.docker.com/_/mariadb
- https://github.com/parsa-epfl/cloudsuite/blob/main/docs/benchmarks/data-serving.md
- https://hub.docker.com/r/tensorflow/tensorflow
- https://github.com/parsa-epfl/cloudsuite/blob/main/docs/benchmarks/media-streaming.md
- i Munoz, Jordi Zayuelas, Jose Suarez-Varela, and Pere Barlet-Ros, "Detecting cryptocurrency miners with NetFlow/IPFIX network measurements.", 2019 IEEE International Symposium on Measurements & Networking (M&N), 1-6, 2019.
- Gomes, Gilberto, Luis Dias, and Miguel Correia, "Cryingjackpot: Network flows and performance counters against cryptojacking.", 2020 IEEE 19th International Symposium on Network Computing and Applications (NCA), 1-10, 2020.