{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,14]],"date-time":"2025-10-14T19:13:39Z","timestamp":1760469219141,"version":"build-2065373602"},"publisher-location":"Cham","reference-count":13,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032084644","type":"print"},{"value":"9783032084651","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,10,15]],"date-time":"2025-10-15T00:00:00Z","timestamp":1760486400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,10,15]],"date-time":"2025-10-15T00:00:00Z","timestamp":1760486400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026]]},"DOI":"10.1007\/978-3-032-08465-1_13","type":"book-chapter","created":{"date-parts":[[2025,10,14]],"date-time":"2025-10-14T18:57:53Z","timestamp":1760468273000},"page":"154-165","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["An Approach to\u00a0Anomaly Detection with\u00a0Dynamic Threshold Definition for\u00a0Real-World Environments"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8333-8477","authenticated-orcid":false,"given":"Gabriel Souza","family":"Marques","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0004-0438-3229","authenticated-orcid":false,"given":"Maynara","family":"Souza","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2378-5376","authenticated-orcid":false,"given":"Fl\u00e1vio Arthur Oliveira","family":"Santos","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6421-9747","authenticated-orcid":false,"given":"Cleber","family":"Zanchettin","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3549-0754","authenticated-orcid":false,"given":"Paulo","family":"Novais","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,10,15]]},"reference":[{"key":"13_CR1","doi-asserted-by":"crossref","unstructured":"Bhatia, S., Hooi, B., Yoon, M., Shin, K., Faloutsos, C.: Midas: microcluster-based detector of anomalies in edge streams (2020). https:\/\/arxiv.org\/abs\/1911.04464","DOI":"10.1609\/aaai.v34i04.5724"},{"key":"13_CR2","doi-asserted-by":"crossref","unstructured":"Bhatia, S., Jain, A., Srivastava, S., Kawaguchi, K., Hooi, B.: Memstream: memory-based streaming anomaly detection (2022). https:\/\/arxiv.org\/abs\/2106.03837","DOI":"10.1145\/3485447.3512221"},{"key":"13_CR3","doi-asserted-by":"publisher","unstructured":"Breiman, L.: Random forests. Mach. Learn. 45(1), 5\u201332 (2001). https:\/\/doi.org\/10.1023\/A:1010933404324","DOI":"10.1023\/A:1010933404324"},{"key":"13_CR4","doi-asserted-by":"publisher","unstructured":"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 (CCS), pp. 1285\u20131298. ACM (2017). https:\/\/doi.org\/10.1145\/3133956.3134015","DOI":"10.1145\/3133956.3134015"},{"key":"13_CR5","unstructured":"Guha, S., Mishra, N., Roy, G., Schrijvers, O.: Robust random cut forest based anomaly detection on streams. In: Proceedings of the 33rd International Conference on International Conference on Machine Learning, ICML 2016, vol. 48, pp. 2712\u20132721. JMLR.org (2016)"},{"key":"13_CR6","doi-asserted-by":"publisher","unstructured":"Han, D., et al.: Deepaid: interpreting and improving deep learning-based anomaly detection in security applications. In: Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security, CCS 2021, pp. 3197\u20133217. ACM (2021). https:\/\/doi.org\/10.1145\/3460120.3484589","DOI":"10.1145\/3460120.3484589"},{"key":"13_CR7","doi-asserted-by":"publisher","unstructured":"Hariri, S., Kind, M.C., Brunner, R.J.: Extended isolation forest. IEEE Trans. Knowl. Data Eng. 33(4), 1479\u20131489 (2021). https:\/\/doi.org\/10.1109\/TKDE.2019.2947676","DOI":"10.1109\/TKDE.2019.2947676"},{"key":"13_CR8","doi-asserted-by":"crossref","unstructured":"Mirsky, Y., Doitshman, T., Elovici, Y., Shabtai, A.: Kitsune: an ensemble of autoencoders for online network intrusion detection (2018). https:\/\/arxiv.org\/abs\/1802.09089","DOI":"10.14722\/ndss.2018.23204"},{"key":"13_CR9","doi-asserted-by":"crossref","unstructured":"Schlegl, T., Seeb\u00f6ck, P., Waldstein, S.M., Schmidt-Erfurth, U., Langs, G.: Unsupervised anomaly detection with generative adversarial networks to guide marker discovery (2017). https:\/\/arxiv.org\/abs\/1703.05921","DOI":"10.1007\/978-3-319-59050-9_12"},{"issue":"1","key":"13_CR10","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1109\/TDSC.2007.70228","volume":"5","author":"A Srivastava","year":"2008","unstructured":"Srivastava, A., Kundu, A., Sural, S., Majumdar, A.: Credit card fraud detection using hidden Markov model. IEEE Trans. Dependable Secure Comput. 5(1), 37\u201348 (2008). https:\/\/doi.org\/10.1109\/TDSC.2007.70228","journal-title":"IEEE Trans. Dependable Secure Comput."},{"key":"13_CR11","unstructured":"Tan, S.C., Ting, K.M., Liu, T.F.: Fast anomaly detection for streaming data. In: Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI 2011, vol. 2, pp. 1511\u20131516. AAAI Press (2011)"},{"key":"13_CR12","unstructured":"Yuan, Y., Huang, Y., Yuan, Y., Wang, J.: Adaptive nad: online and self-adaptive unsupervised network anomaly detector (2025). https:\/\/arxiv.org\/abs\/2410.22967"},{"key":"13_CR13","doi-asserted-by":"publisher","unstructured":"Zhang, P., et al.: Real-time malicious traffic detection with online isolation forest over SD-wan. IEEE Trans. Inf. Forensics Secur. 18, 2076\u20132090 (2023). https:\/\/doi.org\/10.1109\/TIFS.2023.3262121","DOI":"10.1109\/TIFS.2023.3262121"}],"container-title":["Lecture Notes in Computer Science","Hybrid Artificial Intelligent Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-08465-1_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,14]],"date-time":"2025-10-14T18:57:55Z","timestamp":1760468275000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-08465-1_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,15]]},"ISBN":["9783032084644","9783032084651"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-08465-1_13","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,10,15]]},"assertion":[{"value":"15 October 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"HAIS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Hybrid Artificial Intelligence Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Salamanca","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 October 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 October 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"hais2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/haisconference.eu","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}