{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T17:38:30Z","timestamp":1742924310064,"version":"3.40.3"},"publisher-location":"Cham","reference-count":8,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031138690"},{"type":"electronic","value":"9783031138706"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"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":[[2022]]},"DOI":"10.1007\/978-3-031-13870-6_52","type":"book-chapter","created":{"date-parts":[[2022,8,14]],"date-time":"2022-08-14T09:03:13Z","timestamp":1660467793000},"page":"627-637","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["An Intrusion Detection Method Fused Deep Learning and Fuzzy Neural Network for Smart Home"],"prefix":"10.1007","author":[{"given":"Xiangdong","family":"Hu","sequence":"first","affiliation":[]},{"given":"Qin","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Xi","family":"Yang","sequence":"additional","affiliation":[]},{"given":"Liu","family":"Yang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,8,15]]},"reference":[{"issue":"5","key":"52_CR1","first-page":"1216","volume":"37","author":"Y Yang","year":"2014","unstructured":"Yang, Y., Huang, H., Shen, Q., et al.: Research on intrusion detection based on incremental GHSOM. Chin J. Comput. 37(5), 1216\u20131224 (2014)","journal-title":"Chin J. Comput."},{"issue":"2","key":"52_CR2","first-page":"326","volume":"19","author":"S Chen","year":"2011","unstructured":"Chen, S., Zhong, X., Liu, J., et al.: Safety monitoring for intelligent living-room based on GPRS. Comput. Measur. Control 19(2), 326\u2013328 (2011)","journal-title":"Comput. Measur. Control"},{"issue":"8","key":"52_CR3","doi-asserted-by":"publisher","first-page":"1351","DOI":"10.3724\/SP.J.1016.2011.01351","volume":"34","author":"Z Wu","year":"2011","unstructured":"Wu, Z., Zhou, Y., Ma, J.: A security transmission model for Internet of Things. Chin. J. Comput. 34(8), 1351\u20131364 (2011)","journal-title":"Chin. J. Comput."},{"key":"52_CR4","doi-asserted-by":"crossref","unstructured":"Nobakht, M., Sivaraman, V., Boreli, R.: A host-based intrusion detection and mitigation framework for smart home IoT using open flow. In: 2016 11th International Conference on Availability, Reliability and Security (ARES), pp. 147\u2013156. IEEE (2016)","DOI":"10.1109\/ARES.2016.64"},{"key":"52_CR5","doi-asserted-by":"publisher","first-page":"238","DOI":"10.1016\/j.cose.2017.05.009","volume":"70","author":"MF Umer","year":"2017","unstructured":"Umer, M.F., Sher, M., Bi, Y.: Flow-based intrusion detection: technique sand challenges. Comput. Secur. 70, 238\u2013254 (2017)","journal-title":"Comput. Secur."},{"key":"52_CR6","first-page":"282","volume":"1","author":"GE Hinton","year":"1986","unstructured":"Hinton, G.E., Sejnowski, T.J.: Learning and releaming in Boltzmann machines. Parallel Distril. Process. 1, 282\u2013317 (1986)","journal-title":"Parallel Distril. Process."},{"key":"52_CR7","doi-asserted-by":"publisher","first-page":"116","DOI":"10.1109\/TSMC.1985.6313399","volume":"1","author":"T Takagi","year":"1985","unstructured":"Takagi, T., Sugeno, M.: Fuzzy identification of systems and its applications to modeling and control. IEEE Trans. Syst. Man Cybern. 1, 116\u2013132 (1985)","journal-title":"IEEE Trans. Syst. Man Cybern."},{"key":"52_CR8","doi-asserted-by":"crossref","unstructured":"Alrawashdeh, K., Purdy, C.: Toward an online anomaly intrusion detection system based on deep learning. In: 2016 15th IEEE International Conference on Machine Learning and Applications, pp. 195\u2013200 (2016)","DOI":"10.1109\/ICMLA.2016.0040"}],"container-title":["Lecture Notes in Computer Science","Intelligent Computing Theories and Application"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-13870-6_52","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T16:59:42Z","timestamp":1709830782000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-13870-6_52"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031138690","9783031138706"],"references-count":8,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-13870-6_52","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"15 August 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Xi'an","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 August 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 August 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icic2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ic-icc.cn\/2022\/index.htm","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Open","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"IC-ICC-CN","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"449","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":"209","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":"47% - 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":"2.5","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)"}}]}}