iBet uBet web content aggregator. Adding the entire web to your favor.
iBet uBet web content aggregator. Adding the entire web to your favor.



Link to original content: https://api.crossref.org/works/10.1007/978-3-030-79150-6_29
{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,12]],"date-time":"2024-09-12T08:13:32Z","timestamp":1726128812332},"publisher-location":"Cham","reference-count":18,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030791490"},{"type":"electronic","value":"9783030791506"}],"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:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-79150-6_29","type":"book-chapter","created":{"date-parts":[[2021,6,21]],"date-time":"2021-06-21T23:35:17Z","timestamp":1624318517000},"page":"362-373","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["System-Wide Anomaly Detection of Industrial Control Systems via Deep Learning and Correlation Analysis"],"prefix":"10.1007","author":[{"given":"Gordon","family":"Haylett","sequence":"first","affiliation":[]},{"given":"Zahra","family":"Jadidi","sequence":"additional","affiliation":[]},{"given":"Kien Nguyen","family":"Thanh","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,6,22]]},"reference":[{"key":"29_CR1","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1016\/j.icte.2018.02.001","volume":"4","author":"L Maglaras","year":"2018","unstructured":"Maglaras, L., et al.: Cyber security of critical infrastructures. ICT Express 4, 42\u201345 (2018). https:\/\/doi.org\/10.1016\/j.icte.2018.02.001","journal-title":"ICT Express"},{"issue":"8","key":"29_CR2","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1177\/1550147718794615","volume":"14","author":"Y Hu","year":"2018","unstructured":"Hu, Y., Yang, A., Li, H., Sun, Y., Sun, L.: A survey of intrusion detection on industrial control systems. Int. J. Distrib. Sens. Netw. 14(8), 1\u201314 (2018). https:\/\/doi.org\/10.1177\/1550147718794615","journal-title":"Int. J. Distrib. Sens. Netw."},{"issue":"2","key":"29_CR3","doi-asserted-by":"publisher","first-page":"359","DOI":"10.6633\/IJNS.201803.20(2).17","volume":"20","author":"R Dong","year":"2018","unstructured":"Dong, R., Wu, D., Zhang, Q., Zhang, T.: Traffic characteristic map-based intrusion detection model for industrial internet. Int. J. Netw. Secur. 20(2), 359\u2013370 (2018). https:\/\/doi.org\/10.6633\/IJNS.201803.20(2).17","journal-title":"Int. J. Netw. Secur."},{"key":"29_CR4","doi-asserted-by":"crossref","unstructured":"Hussain, M., Foo, E., Suriadi, S.: An improved industrial control system device logs processing method for process-based anomaly detection. In: International Conference on Frontiers of Information Technology (FIT), pp. 150\u20131505. IEEE (2019)","DOI":"10.1109\/FIT47737.2019.00037"},{"key":"29_CR5","doi-asserted-by":"publisher","first-page":"35355","DOI":"10.1109\/ACCESS.2018.2846590","volume":"6","author":"Z Tian","year":"2018","unstructured":"Tian, Z., et al.: A real-time correlation of host-level events in cyber range service for smart campus. IEEE Access 6, 35355\u201335364 (2018)","journal-title":"IEEE Access"},{"key":"29_CR6","doi-asserted-by":"publisher","first-page":"234","DOI":"10.1016\/j.cose.2019.02.008","volume":"83","author":"F Gottwalt","year":"2019","unstructured":"Gottwalt, F., Chang, E., Dillon, T.: CorrCorr: a feature selection method for multivariate correlation network anomaly detection techniques. Comput. Secur. 83, 234\u2013245 (2019)","journal-title":"Comput. Secur."},{"key":"29_CR7","doi-asserted-by":"crossref","unstructured":"Sommestad, T., Ericsson, G.N., Nordlander, J.: SCADA system cyber security - a comparison of standards. In: IEEE PES General Meeting, Providence, RI, pp. 1\u20138 (2010)","DOI":"10.1109\/PES.2010.5590215"},{"key":"29_CR8","doi-asserted-by":"crossref","unstructured":"Parrend, P., Navarro, J., Guigou, F., Deruyver, A., Collet, P.: Foundations and applications of artificial Intelligence for zero-day and multi-step attack detection. EURASIP J. Inf. Secur. 2018, 4 (2018)","DOI":"10.1186\/s13635-018-0074-y"},{"key":"29_CR9","doi-asserted-by":"crossref","unstructured":"Chalapathy, R., Chawla, S.: Deep learning for anomaly detection: a survey, arXiv:1901.03407 (2019)","DOI":"10.1145\/3394486.3406704"},{"issue":"3","key":"29_CR10","doi-asserted-by":"publisher","first-page":"437","DOI":"10.3390\/app9030437","volume":"9","author":"S Su","year":"2019","unstructured":"Su, S., Sun, Y., Gao, X., Qiu, J., Tian, Z.: A correlation-change based feature selection method for IoT equipment anomaly detection. Appl. Sci. 9(3), 437 (2019). https:\/\/doi.org\/10.3390\/app9030437","journal-title":"Appl. Sci."},{"key":"29_CR11","doi-asserted-by":"publisher","DOI":"10.1016\/j.cose.2019.101677","volume":"89","author":"D Bhamare","year":"2020","unstructured":"Bhamare, D., Zolanvari, M., Erbad, A., Jain, R., Khan, K., Meskin, N.: Cybersecurity for industrial control systems: a survey. Comput. Secur. 89, (2020). https:\/\/doi.org\/10.1016\/j.cose.2019.101677","journal-title":"Comput. Secur."},{"issue":"14","key":"29_CR12","doi-asserted-by":"publisher","first-page":"1986","DOI":"10.1093\/bioinformatics\/btr300","volume":"27","author":"T Tolo\u015fi","year":"2011","unstructured":"Tolo\u015fi, T., Legauer, T.: Classification with correlated features: unreliability of feature ranking and solutions. Bioinformatics 27(14), 1986\u20131994 (2011)","journal-title":"Bioinformatics"},{"key":"29_CR13","doi-asserted-by":"crossref","unstructured":"Ayinde, B., Inanc, T., Zurada, J.: On correlation of features extracted by deep neural. In: International Joint Conference on Neural Networks (IJCNN) (2019)","DOI":"10.1109\/IJCNN.2019.8852296"},{"key":"29_CR14","unstructured":"Adhikari, U., Pan, S., Morris, T.: Industrial Control System (ICS) Cyber Attack Datasets. https:\/\/sites.google.com\/a\/uah.edu\/tommy-morris-uah\/ics-data-sets"},{"key":"29_CR15","unstructured":"iTrust: Secure Water treatment \u2013 iTrust (2020). https:\/\/itrust.sutd.edu.sg\/testbeds\/secure-water-treatment-swat\/"},{"key":"29_CR16","doi-asserted-by":"crossref","unstructured":"Wang, L., Jones, R.: Big data analytics in cyber security: network traffic and attacks. J. Comput. Inf. Syst. 1\u20138 (2020)","DOI":"10.1080\/08874417.2019.1688731"},{"key":"29_CR17","doi-asserted-by":"crossref","unstructured":"Jadidi, Z., Dorri, A., Jurdak, R., Fidge, C.: Securing manufacturing using blockchain. In: 2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), Guangzhou, China, pp. 1920\u20131925 (2020)","DOI":"10.1109\/TrustCom50675.2020.00262"},{"key":"29_CR18","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijepes.2019.105742","volume":"117","author":"TRB Kushal","year":"2020","unstructured":"Kushal, T.R.B., Illindala, M.S.: Correlation-based feature selection for resilience analysis of MVDC shipboard power system. Int. J. Electr. Power Energy Syst. 117, (2020)","journal-title":"Int. J. Electr. Power Energy Syst."}],"container-title":["IFIP Advances in Information and Communication Technology","Artificial Intelligence Applications and Innovations"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-79150-6_29","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,7,26]],"date-time":"2021-07-26T16:12:32Z","timestamp":1627315952000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-79150-6_29"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030791490","9783030791506"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-79150-6_29","relation":{},"ISSN":["1868-4238","1868-422X"],"issn-type":[{"type":"print","value":"1868-4238"},{"type":"electronic","value":"1868-422X"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"22 June 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AIAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"IFIP International Conference on Artificial Intelligence Applications and Innovations","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Hersonissos, Crete","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Greece","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 June 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 June 2021","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":"aiai2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.aiai2021.eu\/","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":"easyacademia.org","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"113","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":"50","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":"11","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":"44% - 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":"2.7","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":"2.8","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":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}