Phát hiện mã độc cho thời gian chạy container dựa trên sự nhìn thấu máy ảo

Fareghzadeh N, Seyyedi MA, Mohsenzadeh M (2018) Dynamic performance isolation management for cloud computing services. J Supercomput 74:417–455 Cimpanu C (2018) Backdoored Docker Images. https://www.bleepingcomputer.com/news/security/17-backdoored-docker-images-removed-from-docker-hub/. Accessed 2 Jan 2023 Firecracker container https://github.com/firecracker-microvm/firecracker/. Accessed 2 Jan 2023 Kata containers https://katacontainers.io. Accessed: 2 Jan 2023 Wang X, Du J, Liu H (2022) Performance and isolation analysis of runc, gvisor and kata containers runtimes. Clust Comput 25(2):1497–1513 Mavridis I, Karatza H (2021) Orchestrated sandboxed containers, unikernels, and virtual machines for isolation-enhanced multitenant workloads and serverless computing in cloud. Concurr Comput Pract Exp 35(11):e6365 Garfinkel T, Rosenblum M et al (2003) A virtual machine introspection based architecture for intrusion detection. In: Ndss, vol. 3, pp. 191–206. San Diega, CA Nataraj L, Karthikeyan S, Jacob G, Manjunath BS (2011) Malware images: visualization and automatic classification. In: Proceedings of the 8th International Symposium on Visualization for Cyber Security, pp. 1–7 Cui Z, Du L, Wang P, Cai X, Zhang W (2019) Malicious code detection based on cnns and multi-objective algorithm. J Parallel Distrib Comput 129:50–58 Karn RR, Kudva P, Huang H, Suneja S, Elfadel IM (2020) Cryptomining detection in container clouds using system calls and explainable machine learning. IEEE Trans Parallel Distrib Syst 32(3):674–691 Doan T-P, Jung S (2022) Davs: Dockerfile analysis for container image vulnerability scanning. CMC-Comput Mater Contin 72(1):1699–1711 Lin X, Lei L, Wang Y, Jing J, Sun K, Zhou Q (2018) A measurement study on linux container security: Attacks and countermeasures. In: Proceedings of the 34th Annual Computer Security Applications Conference, pp. 418–429 Zhan D, Ye L, Fang B, Du X, Su S (2016) Cfwatcher: a novel target-based real-time approach to monitor critical files using vmi. In: 2016 IEEE International Conference on Communications (ICC), pp. 1–6. IEEE Dangl T, Taubmann B, Reiser HP (2021) Rapidvmi: Fast and multi-core aware active virtual machine introspection. In: Proceedings of the 16th International Conference on Availability, Reliability and Security, pp. 1–10 Mishra P, Varadharajan V, Pilli ES, Tupakula U (2018) Vmguard: a vmi-based security architecture for intrusion detection in cloud environment. IEEE Trans Cloud Comput 8(3):957–971 Tang F, Ma B, Li J, Zhang F, Su J, Ma J (2020) Ransomspector: an introspection-based approach to detect crypto ransomware. Comput Secur 97:101997 Yu Z, Ye L, Zhang H, Zhan D, Su S, Tian Z (2021) A container-oriented virtual-machine-introspection-based security monitor to secure containers in cloud computing. In: Artificial Intelligence and Security: 7th International Conference, ICAIS 2021, Dublin, Ireland, July 19–23, 2021, Proceedings, Part II 7, pp. 102–111. Springer Libvmi https://github.com/libvmi/libvmi. Accessed 22 Dec 2022 Volatility. https://www.volatilityfoundation.org. Accessed 22 Dec 2022 Li S, Zhou Q, Zhou R, Lv Q (2022) Intelligent malware detection based on graph convolutional network. J Supercomput 78(3):4182–4198 Feng P, Yang L, Lu D, Xi N, Ma J (2023) Bejagnn: behavior-based java malware detection via graph neural network. J Supercomput. https://doi.org/10.1007/s11227-023-05243-x Mallik A, Khetarpal A, Kumar S (2022) Conrec: malware classification using convolutional recurrence. J Comput Virol Hacking Tech 18(4):297–313 Simonyan K, Zisserman A (2014) Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556 Du S, Zhang B, Zhang P, Xiang P (2021) An improved bounding box regression loss function based on ciou loss for multi-scale object detection. In: 2021 IEEE 2nd International Conference on Pattern Recognition and Machine Learning (PRML), pp. 92–98. IEEE Dash. https://github.com/berrywallet/bitcore-node-dash-docker. Accessed 20 Dec 2022 Bitcoin. https://github.com/amacneil/docker-bitcoin. Accessed 20 Dec 2022 Bytecoin. https://github.com/RafalSladek/bytecoin-docker. Accessed 20 Dec 2022 Duino. https://github.com/revoxhere/duino-coin. Accessed 20 Dec 2022 Litecoin. https://github.com/sreekanthgs/litecoin-docker. Accessed 20 Dec 2022 Vertcoin. https://github.com/lukechilds/docker-vertcoind. Accessed 20 Dec 2022 Virusshare. https://www.virusshare.com. Accessed 22 Dec 2022 Virussamples. https://www.virussamples.com. Accessed 22 Dec 2022 Li H, Zhan D, Liu T, Ye L (2019) Using deep-learning-based memory analysis for malware detection in cloud. In: 2019 IEEE 16th International Conference on Mobile Ad Hoc and Sensor Systems Workshops (MASSW), pp. 1–6. IEEE