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Welcome to the RELOAD wiki!
RELOAD (Rapid EvaLuation Of Anomaly Detectors) is a tool that allows to easily compare different algorithms for anomaly detection. It is written in Java, wrapping algorithms coming from other Java-based frameworks such as ELKI or WEKA.
The tool is provided under AGPLv3 License.
For further information, please refer to the tabs of this WIKI.
To cite, and therefore, support, our work, please consider citing
- Zoppi, T., Ceccarelli, A., & Bondavalli, A. (2019). Evaluation of Anomaly Detectors Made Easy with RELOAD. To appear at 30th International Symposium on Software Reliability Engineering (ISSRE 2019), Oct 2019.
And, as additional references of works in which RELOAD was used,
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Zoppi, T., Ceccarelli, A., Salani, L., & Bondavalli, A. (2020). On the educated selection of unsupervised algorithms via attacks and anomaly classes. Journal of Information Security and Applications, 52, 102474.
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Zoppi, T., Ceccarelli, A., & Bondavalli, A. (2019). MADneSs: a Multi-layer Anomaly Detection Framework for Complex Dynamic Systems. IEEE Transactions on Dependable and Secure Computing, DOI: 10.1109/TDSC.2019.2908366 (2019, May)
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Falcão, F., Zoppi, T., Silva, C. B. V., Santos, A., Fonseca, B., Ceccarelli, A., & Bondavalli, A. (2019, April). Quantitative comparison of unsupervised anomaly detection algorithms for intrusion detection. In Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing (pp. 318-327), ACM. DOI: 10.1145/3297280.3297314
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