{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,25]],"date-time":"2026-01-25T13:20:14Z","timestamp":1769347214324,"version":"3.49.0"},"publisher-location":"Cham","reference-count":25,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030849122","type":"print"},{"value":"9783030849139","type":"electronic"}],"license":[{"start":{"date-parts":[[2021,8,8]],"date-time":"2021-08-08T00:00:00Z","timestamp":1628380800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,8,8]],"date-time":"2021-08-08T00:00:00Z","timestamp":1628380800000},"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":[[2022]]},"DOI":"10.1007\/978-3-030-84913-9_18","type":"book-chapter","created":{"date-parts":[[2021,8,7]],"date-time":"2021-08-07T14:44:04Z","timestamp":1628347444000},"page":"202-212","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["A Perceptron Mixture Model of Intrusion Detection for Safeguarding Electronic Health Record System"],"prefix":"10.1007","author":[{"given":"Wei","family":"Lu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ling","family":"Xue","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,8,8]]},"reference":[{"key":"18_CR1","unstructured":"Hossain, M.M., Hong, Y.A.: Trends and characteristics of protected health information breaches in the United States. In: AMIA Annual Symposium Proceedings, pp. 1081\u20131090, 4 March 2019"},{"key":"18_CR2","unstructured":"Portnoy, L., Eskin, E., Stolfo, S.: Intrusion detection with unlabeled data using clustering. In: Proceedings of ACM CSS Workshop on Data Mining Applied to Security (DMSA-2001), Philadelphia, PA (2001)"},{"key":"18_CR3","doi-asserted-by":"crossref","unstructured":"Barreno, M., Nelson, B., Sears, R., Joseph, A.D., Tygarcan, J.D.: Can machine learning be secure? In: Proceedings of the 2006 ACM Symposium on Information, Computer and Communications Security, pp. 16\u201325 (2006)","DOI":"10.1145\/1128817.1128824"},{"issue":"4","key":"18_CR4","doi-asserted-by":"publisher","first-page":"403","DOI":"10.3233\/IDA-2004-8406","volume":"8","author":"M Sabhnani","year":"2004","unstructured":"Sabhnani, M., Serpen, G.: Analysis of a computer security dataset: why machine learning algorithms fail on KDD dataset for misuse detection. Intell. Data Anal. 8(4), 403\u2013415 (2004)","journal-title":"Intell. Data Anal."},{"issue":"12","key":"18_CR5","doi-asserted-by":"publisher","first-page":"3448","DOI":"10.1016\/j.comnet.2007.02.001","volume":"51","author":"A Patcha","year":"2007","unstructured":"Patcha, A., Park, J.M.: An overview of anomaly detection techniques: existing solutions and latest technologies trends. Comput. Netw.: Int. J. Comput. Telecommun. Netw. 51(12), 3448\u20133470 (2007)","journal-title":"Comput. Netw.: Int. J. Comput. Telecommun. Netw."},{"key":"18_CR6","unstructured":"Barbarra, D., Couto, J., Jajodia, S., Popyack, L., Wu, N.N.: ADAM: detecting intrusions by data mining. In: Proceedings of the 2001 IEEE, Workshop on Information Assurance and Security, West Point, NY, June 2001"},{"key":"18_CR7","unstructured":"Lunt, T.F., et al.: A Real-time Intrusion Detection Expert System (IDES). Technical Report, Computer Science Laboratory, SRI International, Menlo Park, USA, February 1992"},{"key":"18_CR8","unstructured":"Anderson, D., Frivold, T., Tamaru, A., Valdes, A.: Next Generation Intrusion Detection Expert System (NIDES). Software User\u2019s Manual, Beta-Update release, Computer Science Laboratory, SRI International, Menlo Park, CA, USA, Technical Report SRI-CSL-95-0, May 1994"},{"key":"18_CR9","unstructured":"Porras, P., Neumann, P.: EMERALD: event monitoring enabling responses to anomalous live disturbances. In: Proceedings of the 20th NIST-NCSC National Information Systems Security Conference, Baltimore, MD, USA, pp. 353\u2013 365 (1997)"},{"key":"18_CR10","unstructured":"Tombini, E., Debar, H., M\u00e9, L., Ducass\u00e9, M.: A serial combination of anomaly and misuse IDSes applied to HTTP traffic. In: Proceedings of the 20th Annual Computer Security Applications Conference, Tucson, AZ, USA (2004)"},{"key":"18_CR11","doi-asserted-by":"crossref","unstructured":"Zhang, J., Zulkernine, M.: A hybrid network intrusion detection technique using random forests. In Proceedings of the 1st International Conference on Availability, Reliability and Security, pp. 262\u2013269. Vienna University of Technology (2006)","DOI":"10.1109\/ARES.2006.7"},{"key":"18_CR12","doi-asserted-by":"crossref","unstructured":"Peng, J., Feng, C., Rozenblit, J.W.: A hybrid intrusion detection and visualization system. In: Proceedings of the 13th Annual IEEE International Symposium and Workshop on Engineering of Computer Based Systems, pp. 505\u2013506 (2006)","DOI":"10.1109\/ECBS.2006.8"},{"issue":"4","key":"18_CR13","doi-asserted-by":"publisher","first-page":"713","DOI":"10.1016\/j.eswa.2005.05.002","volume":"29","author":"O Depren","year":"2005","unstructured":"Depren, O., Topallar, M., Anarim, E., Ciliz, M.K.: An Intelligent intrusion detection system (IDS) for anomaly and misuse detection in computer networks. Expert Syst. Appl. 29(4), 713\u2013722 (2005)","journal-title":"Expert Syst. Appl."},{"issue":"1","key":"18_CR14","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1109\/TDSC.2007.9","volume":"4","author":"M Qin","year":"2007","unstructured":"Qin, M., Hwang, K., Cai, M., Chen, Y.: Hybrid intrusion detection with weighted signature generation over anomalous internet episodes. IEEE Trans. Dependable Secure Comput. 4(1), 41\u201355 (2007)","journal-title":"IEEE Trans. Dependable Secure Comput."},{"key":"18_CR15","unstructured":"Xiang, C., Lim, S.M.: Design of multiple-level hybrid classifier for intrusion detection system. In: Proceedings of the IEEE Workshop Machine Learning for Signal Processing, pp. 117\u2013122 (2005)"},{"key":"18_CR16","doi-asserted-by":"crossref","unstructured":"Thames, J.L., Abler, R., Saad, A.: Hybrid intelligent systems for network security. In: Proceedings of the 44th ACM Annual Southeast Regional Conference, pp. 286\u2013289 (2006)","DOI":"10.1145\/1185448.1185513"},{"issue":"1","key":"18_CR17","doi-asserted-by":"publisher","first-page":"114","DOI":"10.1016\/j.jnca.2005.06.003","volume":"30","author":"S Peddabachigari","year":"2007","unstructured":"Peddabachigari, S., Abraham, A., Grosan, C., Thomas, J.: Modeling intrusion detection system using hybrid intelligent systems. Special issue on network and information security: a computational intelligence approach. J. Netw. Comput. Appl. 30(1), 114\u2013132 (2007)","journal-title":"J. Netw. Comput. Appl."},{"issue":"18","key":"18_CR18","first-page":"3799","volume":"177","author":"T Shon","year":"2007","unstructured":"Shon, T., Moon, J.: A hybrid machine learning approach to network anomaly detection. Int. J. Inf. Sci. 177(18), 3799\u20133821 (2007)","journal-title":"Int. J. Inf. Sci."},{"key":"18_CR19","unstructured":"Sabhnani, M.R., Serpen, G.: Application of machine learning algorithms to KDD intrusion detection dataset within misuse detection context. In: Proceedings of International Conference on Machine Learning: Models, Technologies, and Applications, pp. 209\u2013215 (2003)"},{"issue":"4","key":"18_CR20","doi-asserted-by":"publisher","first-page":"498","DOI":"10.1136\/amiajnl-2011-000217","volume":"18","author":"AA Boxwala","year":"2011","unstructured":"Boxwala, A.A., Kim, J., Grillo, J.M., Ohno-Machado, L.: Using statistical and machine learning to help institutions detect suspicious access to electronic health records. J. Am. Med. Inform. Assoc. 18(4), 498\u2013505 (2011). https:\/\/doi.org\/10.1136\/amiajnl-2011-000217","journal-title":"J. Am. Med. Inform. Assoc."},{"key":"18_CR21","unstructured":"Kim, J., et al.: Anomaly and signature filtering improve classifier performance for detection of suspicious access to EHRs. In: AMIA Annual Symposium Proceedings, vol. 2011, pp. 723\u2013731, 22 October 2011"},{"key":"18_CR22","doi-asserted-by":"publisher","unstructured":"Ghorbani, A.A., Lu, W., Tavallaee, M.: Network attacks. In: Network Intrusion Detection and Prevention: Concepts and Techniques, vol. 47, pp. 1\u201325. Springer, Heidelberg (2010). https:\/\/doi.org\/10.1007\/978-0-387-88771-5_1, ISBN: 978-0-387-88770-8","DOI":"10.1007\/978-0-387-88771-5_1"},{"key":"18_CR23","doi-asserted-by":"publisher","unstructured":"Lu, W., Xue, L.: A heuristic-based co-clustering algorithm for the internet traffic classification. In: 28th International Conference on Advanced Information Networking and Applications Workshops, pp. 49\u201354 (2014). https:\/\/doi.org\/10.1109\/WAINA.2014.16","DOI":"10.1109\/WAINA.2014.16"},{"key":"18_CR24","unstructured":"Lu, W., Traore, I.: Determining the optimal number of clusters using a new evolutionary algorithm. In: Proceedings of IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2005), Hongkong, pp. 712\u2013713, November 2005"},{"key":"18_CR25","doi-asserted-by":"publisher","unstructured":"Garant, D., Lu, W.: Mining botnet behaviors on the large-scale web application community. In: 27th International Conference on Advanced Information Networking and Applications Workshops, pp. 185\u2013190 (2013). https:\/\/doi.org\/10.1109\/WAINA.2013.235","DOI":"10.1109\/WAINA.2013.235"}],"container-title":["Lecture Notes in Networks and Systems","Advances in Networked-Based Information Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-84913-9_18","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,8,7]],"date-time":"2021-08-07T14:50:21Z","timestamp":1628347821000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-84913-9_18"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,8,8]]},"ISBN":["9783030849122","9783030849139"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-84913-9_18","relation":{},"ISSN":["2367-3370","2367-3389"],"issn-type":[{"value":"2367-3370","type":"print"},{"value":"2367-3389","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,8,8]]},"assertion":[{"value":"8 August 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"NBiS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Network-Based Information Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Taichung","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Taiwan","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":"1 September 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 September 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"nbis2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/voyager.ce.fit.ac.jp\/conf\/nbis\/2021\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}