{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,16]],"date-time":"2026-06-16T22:05:35Z","timestamp":1781647535508,"version":"3.54.5"},"publisher-location":"Cham","reference-count":14,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031702587","type":"print"},{"value":"9783031702594","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":[[2024]]},"DOI":"10.1007\/978-3-031-70259-4_2","type":"book-chapter","created":{"date-parts":[[2024,9,8]],"date-time":"2024-09-08T09:02:15Z","timestamp":1725786135000},"page":"16-28","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Data Distribution-Based Change Detection Framework in\u00a0SWaT Security Monitoring"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-7569-3188","authenticated-orcid":false,"given":"M\u00e1t\u00e9","family":"Hekfusz","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-3018-6810","authenticated-orcid":false,"given":"Vrushali","family":"Mahajan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3012-3872","authenticated-orcid":false,"given":"Adolf","family":"Kamuzora","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6188-4936","authenticated-orcid":false,"given":"Imre","family":"Lend\u00e1k","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,9,9]]},"reference":[{"key":"2_CR1","doi-asserted-by":"publisher","unstructured":"Callegari, C., Giordano, S., Pagano, M., Pepe, T.: WAVE-CUSUM: Improving cusum performance in network anomaly detection by means of wavelet analysis. Comput. Secur. 31(5), 727\u2013735 (2012). ISSN 0167-4048. https:\/\/doi.org\/10.1016\/j.cose.2012.05.001, URL https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0167404812000788","DOI":"10.1016\/j.cose.2012.05.001"},{"key":"2_CR2","doi-asserted-by":"publisher","unstructured":"Zhou, C., van Nooijen, R., Kolechkina, A., Hrachowitz, M.: Comparative analysis of nonparametric change-point detectors commonly used in hydrology. Hydrol. Sci. J. 64(14), 1690\u20131710 (2019). https:\/\/doi.org\/10.1080\/02626667.2019.1669792, URL https:\/\/doi.org\/10.1080\/02626667.2019.1669792","DOI":"10.1080\/02626667.2019.1669792"},{"key":"2_CR3","unstructured":"Dasu, T., Krishnan, S., Venkatasubramanian, S., Yi, K.: An information-theoretic approach to detecting changes in multi-dimensional data streams. In: Proc. Symposium on the Interface of Statistics, Computing Science, and Applications (Interface) (2006)"},{"issue":"4","key":"2_CR4","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1109\/MCI.2015.2471196","volume":"10","author":"G Ditzler","year":"2015","unstructured":"Ditzler, G., Roveri, M., Alippi, C., Polikar, R.: Learning in nonstationary environments: a survey. IEEE Comput. Intell. Mag. 10(4), 12\u201325 (2015). https:\/\/doi.org\/10.1109\/MCI.2015.2471196","journal-title":"IEEE Comput. Intell. Mag."},{"key":"2_CR5","doi-asserted-by":"publisher","unstructured":"Flynn, T., Yoo, S.: Change detection with the kernel cumulative sum algorithm. In: 2019 IEEE 58th Conference on Decision and Control (CDC), pp. 6092\u20136099 (2019). https:\/\/doi.org\/10.1109\/CDC40024.2019.9029854","DOI":"10.1109\/CDC40024.2019.9029854"},{"key":"2_CR6","doi-asserted-by":"publisher","unstructured":"Gama, J., \u017dliobait\u0117, I., Bifet, A., Pechenizkiy, M., Bouchachia, A.: A survey on concept drift adaptation. ACM Comput. Surv. 46(4) (2014), ISSN 0360-0300. https:\/\/doi.org\/10.1145\/2523813","DOI":"10.1145\/2523813"},{"key":"2_CR7","doi-asserted-by":"crossref","unstructured":"Goh, J., Adepu, S., Junejo, K.N., Mathur, A.: A dataset to support research in the design of secure water treatment systems. In: Havarneanu, G., Setola, R., Nassopoulos, H., Wolthusen, S. (eds.) Critical Information Infrastructures Security, pp. 88\u201399. Springer International Publishing, Cham (2017), ISBN 978-3-319-71368-7","DOI":"10.1007\/978-3-319-71368-7_8"},{"key":"2_CR8","doi-asserted-by":"crossref","unstructured":"Hu, H., Kantardzic, M., Sethi, T.S.: No free lunch theorem for concept drift detection in streaming data classification: a review. WIREs Data Min. Knowl. Discovery 10(2), e1327 (2020)","DOI":"10.1002\/widm.1327"},{"issue":"12","key":"2_CR9","doi-asserted-by":"publisher","first-page":"3387","DOI":"10.1007\/s00500-014-1492-5","volume":"19","author":"B Krawczyk","year":"2015","unstructured":"Krawczyk, B., Wo\u017aniak, M.: One-class classifiers with incremental learning and forgetting for data streams with concept drift. Soft. Comput. 19(12), 3387\u20133400 (2015)","journal-title":"Soft. Comput."},{"key":"2_CR10","doi-asserted-by":"publisher","unstructured":"Lamsh\u00f6ft, K., Neubert, T., Kr\u00e4tzer, C., Vielhauer, C., Dittmann, J.: Information hiding in cyber physical systems: challenges for embedding, retrieval and detection using sensor data of the swat dataset. In: Proceedings of the 2021 ACM Workshop on Information Hiding and Multimedia Security, pp. 113-124. IH &MMSec \u201921, Association for Computing Machinery, New York, NY, USA (2021), ISBN 9781450382953. https:\/\/doi.org\/10.1145\/3437880.3460413","DOI":"10.1145\/3437880.3460413"},{"issue":"12","key":"2_CR11","doi-asserted-by":"publisher","first-page":"2346","DOI":"10.1109\/TKDE.2018.2876857","volume":"31","author":"J Lu","year":"2019","unstructured":"Lu, J., Liu, A., Dong, F., Gu, F., Gama, J., Zhang, G.: Learning under concept drift: a review. IEEE Trans. Knowl. Data Eng. 31(12), 2346\u20132363 (2019). https:\/\/doi.org\/10.1109\/TKDE.2018.2876857","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"2_CR12","doi-asserted-by":"publisher","unstructured":"Qahtan, A.A., Alharbi, B., Wang, S., Zhang, X.: A PCA-based change detection framework for multidimensional data streams: change detection in multidimensional data streams. In: Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 935-944, KDD \u201915, Association for Computing Machinery, New York, NY, USA (2015), ISBN 9781450336642. https:\/\/doi.org\/10.1145\/2783258.2783359","DOI":"10.1145\/2783258.2783359"},{"key":"2_CR13","doi-asserted-by":"publisher","unstructured":"Vaswani, N.: The modified CUSUM algorithm for slow and drastic change detection in general HMMs with unknown change parameters. In: Proceedings. (ICASSP \u201905). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005, vol. 4, pp. iv\/701\u2013iv\/704 (2005). https:\/\/doi.org\/10.1109\/ICASSP.2005.1416105","DOI":"10.1109\/ICASSP.2005.1416105"},{"key":"2_CR14","doi-asserted-by":"publisher","unstructured":"Yoong, C.H., Heng, J.: Framework for continuous system security protection in swat. In: Proceedings of the 2019 3rd International Symposium on Computer Science and Intelligent Control, ISCSIC 2019, Association for Computing Machinery, New York, NY, USA (2020), ISBN 9781450376617, https:\/\/doi.org\/10.1145\/3386164.3387297","DOI":"10.1145\/3386164.3387297"}],"container-title":["Communications in Computer and Information Science","Advances in Computational Collective Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-70259-4_2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,8]],"date-time":"2024-09-08T09:15:33Z","timestamp":1725786933000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-70259-4_2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031702587","9783031702594"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-70259-4_2","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"value":"1865-0929","type":"print"},{"value":"1865-0937","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"9 September 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICCCI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computational Collective Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Leipzig","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Germany","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 September 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 September 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iccci2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/iccci.pwr.edu.pl\/2024\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}