Anomaly Detection in the Key-Management Interoperability Protocol Using Metadata

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Baee, Mir Ali Rezazadeh, et al. “Anomaly Detection in the Key-Management Interoperability Protocol Using Metadata”. IEEE Open Journal of the Computer Society, vol. 5, 2024, pp. 156-69, https://doi.org/10.1109/ojcs.2024.3386715.
Baee, M. A. R., Simpson, L., & Armstrong, W. (2024). Anomaly Detection in the Key-Management Interoperability Protocol Using Metadata. IEEE Open Journal of the Computer Society, 5, 156-169. https://doi.org/10.1109/ojcs.2024.3386715
Baee MAR, Simpson L, Armstrong W. Anomaly Detection in the Key-Management Interoperability Protocol Using Metadata. IEEE Open Journal of the Computer Society. 2024;5:156-69.
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Refrences
Title Journal Journal Categories Citations Publication Date
LSTM-based encoder-decoder for multi-sensor anomaly detection Critique Open Research & Review 2016
Log clustering based problem identification for online service systems 2016
Mining invariants from console logs for system problem detection 2010
Recommendation for key management: Part 1General (Nist Special Publication 800-57 Part 1 Revision 5) 2020
OASIS key management interoperability protocol (KMIP) specification version 2.0 2019