{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,6]],"date-time":"2025-05-06T08:51:50Z","timestamp":1746521510819,"version":"3.40.3"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031445040"},{"type":"electronic","value":"9783031445057"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":[[2023]]},"DOI":"10.1007\/978-3-031-44505-7_1","type":"book-chapter","created":{"date-parts":[[2023,10,24]],"date-time":"2023-10-24T18:03:41Z","timestamp":1698170621000},"page":"1-15","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Anomaly Classification to\u00a0Enable Self-healing in\u00a0Cyber Physical Systems Using Process Mining"],"prefix":"10.1007","author":[{"given":"Uphar","family":"Singh","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Deepak","family":"Gajjala","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rahamatullah","family":"Khondoker","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Harshit","family":"Gupta","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ayush","family":"Sinha","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"O. P.","family":"Vyas","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,10,25]]},"reference":[{"key":"1_CR1","doi-asserted-by":"publisher","unstructured":"Deng, W., Liu, W., Li, Y., Zhao, T.: A petri-net-based framework for microgrid process mining. In: 2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2), pp. 3797\u20133800 (2020). https:\/\/doi.org\/10.1109\/EI250167.2020.9346586","DOI":"10.1109\/EI250167.2020.9346586"},{"key":"1_CR2","doi-asserted-by":"publisher","first-page":"234","DOI":"10.1007\/s10669-022-09859-x","volume":"42","author":"P Singh","year":"2022","unstructured":"Singh, P., et al.: Using log analytics and process mining to enable self-healing in the Internet of Things. Environ. Syst. Decis. 42, 234\u2013250 (2022). https:\/\/doi.org\/10.1007\/s10669-022-09859-x","journal-title":"Environ. Syst. Decis."},{"key":"1_CR3","series-title":"Lecture Notes in Business Information Processing","doi-asserted-by":"publisher","first-page":"149","DOI":"10.1007\/978-3-642-01862-6_13","volume-title":"Enterprise, Business-Process and Information Systems Modeling","author":"F Bezerra","year":"2009","unstructured":"Bezerra, F., Wainer, J., van der Aalst, W.M.P.: Anomaly detection using process mining. In: Halpin, T., et al. (eds.) BPMDS\/EMMSAD -2009. LNBIP, vol. 29, pp. 149\u2013161. Springer, Heidelberg (2009). https:\/\/doi.org\/10.1007\/978-3-642-01862-6_13"},{"key":"1_CR4","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1016\/j.entcs.2004.10.013","volume":"121","author":"WM Van der Aalst","year":"2005","unstructured":"Van der Aalst, W.M., de Medeiros, A.K.A.: Process mining and security: detecting anomalous process executions and checking process conformance. Electron. Notes Theor. Comput. Sci. 121, 3\u201321 (2005). https:\/\/doi.org\/10.1016\/j.entcs.2004.10.013","journal-title":"Electron. Notes Theor. Comput. Sci."},{"key":"1_CR5","doi-asserted-by":"crossref","unstructured":"Hosseini, S.M., Aghdasi, M., Teimourpour, B., Albadvi, A.: Implementing process mining techniques to analyze performance in EPC companies. Int. J. Inf. Commun. Technol. Res. 14 (2022). https:\/\/doi.org\/10.52547\/itrc.14.2.66","DOI":"10.52547\/itrc.14.2.66"},{"key":"1_CR6","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"98","DOI":"10.1007\/978-3-030-02671-4_6","volume-title":"On the Move to Meaningful Internet Systems. OTM 2018 Conferences","author":"M Fani Sani","year":"2018","unstructured":"Fani Sani, M., van Zelst, S.J., van\u00a0der Aalst, W.M.P.: Applying sequence mining for outlier detection in process mining. In: Panetto, H., Debruyne, C., Proper, H.A., Ardagna, C.A., Roman, D., Meersman, R. (eds.) OTM 2018. LNCS, vol. 11230, pp. 98\u2013116. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-030-02671-4_6"},{"key":"1_CR7","doi-asserted-by":"crossref","unstructured":"Junior, S.B., Ceravolo, P., Damiani, E., Omori, N.J., Tavares, G.M.: Anomaly detection on event logs with a scarcity of labels (2020)","DOI":"10.1109\/ICPM49681.2020.00032"},{"key":"1_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"227","DOI":"10.1007\/978-3-642-15618-2_17","volume-title":"Business Process Management","author":"RP Jagadeesh Chandra Bose","year":"2010","unstructured":"Jagadeesh Chandra Bose, R.P., van der Aalst, W.: Trace alignment in process mining: opportunities for process diagnostics. In: Hull, R., Mendling, J., Tai, S. (eds.) BPM 2010. LNCS, vol. 6336, pp. 227\u2013242. Springer, Heidelberg (2010). https:\/\/doi.org\/10.1007\/978-3-642-15618-2_17"},{"key":"1_CR9","unstructured":"https:\/\/itrust.sutd.edu.sg\/itrust-labs-home\/itrust-labs_epic\/"},{"key":"1_CR10","unstructured":"Burattin, A.: PLG2: multiperspective processes randomization and simulation for online and offline settings (2015)"},{"key":"1_CR11","unstructured":"https:\/\/pm4py.fit.fraunhofer.de\/documentation"},{"key":"1_CR12","unstructured":"Silva, P., Schukat, M.: On the use of k-nn in intrusion detection for industrial control systems. In: Proceedings of The IT &T 13th International Conference on Information Technology and Telecommunication, Dublin, Ireland, pp. 103\u2013106 (2014)"},{"key":"1_CR13","doi-asserted-by":"crossref","unstructured":"Anthi, E., Williams, L., Burnap, P.: Pulse: an adaptive intrusion detection for the Internet of Things IoT (2018). https:\/\/doi.org\/10.1049\/cp.2018.0035","DOI":"10.1049\/cp.2018.0035"},{"key":"1_CR14","doi-asserted-by":"publisher","first-page":"314","DOI":"10.1109\/TETC.2016.2633228","volume":"7","author":"HH Pajouh","year":"2019","unstructured":"Pajouh, H.H., Javidan, R., Khayami, R., Dehghantanha, A., Choo, K.K.R.: A two-layer dimension reduction and two-tier classification model for anomaly-based intrusion detection in IoT backbone networks. IEEE Trans. Emerg. Top. Comput. 7, 314\u2013323 (2019). https:\/\/doi.org\/10.1109\/TETC.2016.2633228","journal-title":"IEEE Trans. Emerg. Top. Comput."},{"key":"1_CR15","doi-asserted-by":"publisher","unstructured":"Stewart, B., et al.: A novel intrusion detection mechanism for SCADA systems which automatically adapts to network topology changes. EAI Endorsed Trans. Ind. Netw. Intell. Syst. 4 (2017). https:\/\/doi.org\/10.4108\/eai.1-2-2017.152155","DOI":"10.4108\/eai.1-2-2017.152155"},{"key":"1_CR16","doi-asserted-by":"crossref","unstructured":"Hobbs, A.: The colonial pipeline hack: Exposing vulnerabilities in U.S. cybersecurity. In: Sage Business Cases. SAGE Publications Ltd, (2021). https:\/\/doi.org\/10.4135\/9781529789768","DOI":"10.4135\/9781529789768"},{"key":"1_CR17","doi-asserted-by":"publisher","unstructured":"Alkhadra, R., Abuzaid, J., AlShammari, M., Mohammad, N.: Solar winds hack: in-depth analysis and countermeasures. In: 2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT), Kharagpur, India, pp. 1\u20137 (2021). https:\/\/doi.org\/10.1109\/ICCCNT51525.2021.9579611","DOI":"10.1109\/ICCCNT51525.2021.9579611"},{"key":"1_CR18","unstructured":"Burattin, A.: Plg2: multiperspective process randomization with online and offline simulations. BPM (Demos) (2016)"}],"container-title":["Lecture Notes in Computer Science","Learning and Intelligent Optimization"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-44505-7_1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,24]],"date-time":"2023-10-24T18:03:53Z","timestamp":1698170633000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-44505-7_1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031445040","9783031445057"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-44505-7_1","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"25 October 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"LION","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Learning and Intelligent Optimization","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Nice","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"France","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 June 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 June 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"lion2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/lion17.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"83","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"40","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"48% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4.7","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4.4","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}