An Automated and Verbose Approach for Detecting Anomalies in Cloud Computing Platform Using Logs
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-70259-4_7
Reference26 articles.
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3. Decker, L., Leite, D., Giommi, L., Bonacorsi, D.: Real-time anomaly detection in data centers for log-based predictive maintenance using an evolving fuzzy-rule-based approach. In: 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), pp. 1–8. IEEE (2020)
4. Du, M., Li, F.: Spell: streaming parsing of system event logs. In: 2016 IEEE 16th International Conference on Data Mining (ICDM), pp. 859–864. IEEE (2016)
5. Du, M., Li, F., Zheng, G., Srikumar, V.: Deeplog: anomaly detection and diagnosis from system logs through deep learning. In: Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, pp. 1285–1298 (2017)
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