{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T16:33:09Z","timestamp":1743006789021,"version":"3.40.3"},"publisher-location":"Cham","reference-count":14,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030697808"},{"type":"electronic","value":"9783030697815"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2021,2,18]],"date-time":"2021-02-18T00:00:00Z","timestamp":1613606400000},"content-version":"vor","delay-in-days":48,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Cyber physical systems are becoming ubiquitous devices in many fields thus creating the need for effective security measures. We propose to exploit their intrinsic dependency on the environment in which they are deployed to detect and mitigate anomalies. To do so, sensor measurements, network metrics, and contextual information are fused in a unified security architecture. In this paper, the model of the proposed framework is presented and a first proof of concept involving a telecommunication infrastructure case study is provided.<\/jats:p>","DOI":"10.1007\/978-3-030-69781-5_5","type":"book-chapter","created":{"date-parts":[[2021,2,19]],"date-time":"2021-02-19T11:12:22Z","timestamp":1613733142000},"page":"67-76","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Inferring Anomaly Situation from Multiple Data Sources in Cyber Physical Systems"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5642-3430","authenticated-orcid":false,"given":"Sara","family":"Baldoni","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Giuseppe","family":"Celozzi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5911-9490","authenticated-orcid":false,"given":"Alessandro","family":"Neri","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7489-3767","authenticated-orcid":false,"given":"Marco","family":"Carli","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0846-5879","authenticated-orcid":false,"given":"Federica","family":"Battisti","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,2,18]]},"reference":[{"key":"5_CR1","unstructured":"Enhancing RAN performance with AI. https:\/\/www.ericsson.com\/493ce3\/assets\/local\/reports-papers\/ericsson-technology-review\/docs\/2020\/enhancing-ran-performance-with-ai.pdf. Accessed 08 July 2020"},{"key":"5_CR2","unstructured":"How to build robust anomaly detectors with machine learning. https:\/\/www.ericsson.com\/en\/blog\/2020\/4\/anomaly-detection-with-machine-learning. Accessed 08 July 2020"},{"key":"5_CR3","unstructured":"Italian antenna map. http:\/\/www.datiopen.it\/it\/opendata\/Mappa_delle_antenne_in_Italia. Accessed 17 June 2020"},{"key":"5_CR4","doi-asserted-by":"publisher","unstructured":"Amaral, A.A., de Souza Mendes, L., Zarpel\u00e3o, B.B., Proen\u00e7a Junior, M.L.: Deep IP flow inspection to detect beyond network anomalies. Comput. Commun. 98, 80\u201396 (2017). https:\/\/doi.org\/10.1016\/j.comcom.2016.12.007, http:\/\/www.sciencedirect.com\/science\/article\/pii\/S0140366416306612","DOI":"10.1016\/j.comcom.2016.12.007"},{"key":"5_CR5","doi-asserted-by":"publisher","unstructured":"Ashibani, Y., Mahmoud, Q.H.: Cyber physical systems security: analysis, challenges and solutions. Comput. Secur. 68, 81\u201397 (2017). https:\/\/doi.org\/10.1016\/j.cose.2017.04.005, http:\/\/www.sciencedirect.com\/science\/article\/pii\/S0167404817300809","DOI":"10.1016\/j.cose.2017.04.005"},{"key":"5_CR6","doi-asserted-by":"crossref","unstructured":"Bhattarai, S., Rook, S., Ge, L., Wei, S., Yu, W., Fu, X.: On Simulation studies of cyber attacks against LTE networks. In: 2014 23rd International Conference on Computer Communication and Networks (ICCCN), pp. 1\u20138 (2014)","DOI":"10.1109\/ICCCN.2014.6911737"},{"key":"5_CR7","doi-asserted-by":"crossref","unstructured":"Dsouza, J., Elezabeth, L., Mishra, V.P., Jain, R.: Security in cyber-physical systems. In: 2019 Amity International Conference on Artificial Intelligence (AICAI), pp. 840\u2013844 (2019)","DOI":"10.1109\/AICAI.2019.8701411"},{"key":"5_CR8","doi-asserted-by":"crossref","unstructured":"Ivanov, R., Weimer, J., Lee, I.: Towards context-aware cyber-physical systems. In: 2018 IEEE Workshop on Monitoring and Testing of Cyber-Physical Systems (MT-CPS), pp. 10\u201311 (2018)","DOI":"10.1109\/MT-CPS.2018.00012"},{"key":"5_CR9","doi-asserted-by":"publisher","first-page":"177497","DOI":"10.1109\/ACCESS.2019.2956544","volume":"7","author":"Q Liu","year":"2019","unstructured":"Liu, Q., Yang, J., Zhuang, C., Barnawi, A., Alzahrani, B.A.: Artificial intelligence based mobile tracking and antenna pointing in satellite-terrestrial network. IEEE Access 7, 177497\u2013177503 (2019)","journal-title":"IEEE Access"},{"issue":"4","key":"5_CR10","doi-asserted-by":"publisher","first-page":"1405","DOI":"10.1007\/s12652-018-0998-6","volume":"11","author":"S-T Park","year":"2018","unstructured":"Park, S.-T., Li, G., Hong, J.-C.: A study on smart factory-based ambient intelligence context-aware intrusion detection system using machine learning. J. Ambient Intell. Human. Comput. 11(4), 1405\u20131412 (2018). https:\/\/doi.org\/10.1007\/s12652-018-0998-6","journal-title":"J. Ambient Intell. Human. Comput."},{"key":"5_CR11","doi-asserted-by":"crossref","unstructured":"Roukounaki, A., Efremidis, S., Soldatos, J., Neises, J., Walloschke, T., Kefalakis, N.: Scalable and configurable end-to-end collection and analysis of iot security data : towards end-to-end security in IoT systems. In: 2019 Global IoT Summit (GIoTS), pp. 1\u20136 (2019)","DOI":"10.1109\/GIOTS.2019.8766407"},{"issue":"4","key":"5_CR12","doi-asserted-by":"publisher","first-page":"6692","DOI":"10.1109\/JIOT.2019.2910233","volume":"6","author":"Y Sharaf Dabbagh","year":"2019","unstructured":"Sharaf Dabbagh, Y., Saad, W.: Authentication of wireless devices in the internet of things: learning and environmental effects. IEEE Internet Things J. 6(4), 6692\u20136705 (2019)","journal-title":"IEEE Internet Things J."},{"key":"5_CR13","doi-asserted-by":"publisher","unstructured":"Tikhvinskiy, V., Koval, V.: Prospects of 5G Satellite Networks Development. In: Moving Broadband Mobile Communications Forward-Intelligent Technologies for 5G and Beyond. IntechOpen (2020). https:\/\/doi.org\/10.5772\/intechopen.90943, https:\/\/www.intechopen.com\/online-first\/prospects-of-5g-satellite-networks-development","DOI":"10.5772\/intechopen.90943"},{"key":"5_CR14","doi-asserted-by":"crossref","unstructured":"Wang, E.K., Ye, Y., Xu, X., Yiu, S.M., Hui, L.C.K., Chow, K.P.: Security issues and challenges for cyber physical system. In: 2010 IEEE\/ACM International Conference on Green Computing and Communications & International Conference on Cyber, Physical and Social Computing, pp. 733\u2013738 (2010)","DOI":"10.1109\/GreenCom-CPSCom.2010.36"}],"container-title":["Lecture Notes in Computer Science","Cyber-Physical Security for Critical Infrastructures Protection"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-69781-5_5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,2,19]],"date-time":"2021-02-19T11:16:37Z","timestamp":1613733397000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-69781-5_5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030697808","9783030697815"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-69781-5_5","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"18 February 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CPS4CIP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Workshop on Cyber-Physical Security for Critical Infrastructures Protection","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Guildford","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"United Kingdom","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 September 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 September 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"cps4cip2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/sites.google.com\/fbk.eu\/cps4cip20","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-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":"23","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":"12","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":"2","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":"52% - 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":"3","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":"1","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)"}},{"value":"The conference was held online due to the COVID-19 pandemic.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}