{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T15:46:33Z","timestamp":1759333593879,"version":"3.40.3"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030151263"},{"type":"electronic","value":"9783030151270"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-15127-0_6","type":"book-chapter","created":{"date-parts":[[2019,3,21]],"date-time":"2019-03-21T04:17:42Z","timestamp":1553141862000},"page":"60-68","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Char-Level Neural Network for Network Anomaly Behavior Detection"],"prefix":"10.1007","author":[{"given":"Sheng","family":"Wang","sequence":"first","affiliation":[]},{"given":"Jiaming","family":"Song","sequence":"additional","affiliation":[]},{"given":"Ruixu","family":"Guo","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,3,22]]},"reference":[{"unstructured":"Jiang, L.: Protection of computer network security based on firewall technology. China Comput. Commun. (2017)","key":"6_CR1"},{"key":"6_CR2","first-page":"010","volume":"7","author":"W Hao","year":"2007","unstructured":"Hao, W.: Network safety protection based on firewall technology. Commun. Technol. 7, 010 (2007)","journal-title":"Commun. Technol."},{"unstructured":"Sun, D., Liu, W., Ren, P., et al.: Reputation and attribute based dynamic access control framework in cloud computing environment for privacy protection. In: International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, pp. 1239\u20131245. IEEE (2016)","key":"6_CR3"},{"issue":"1","key":"6_CR4","doi-asserted-by":"publisher","first-page":"594","DOI":"10.1109\/TWC.2015.2476466","volume":"15","author":"L Yao","year":"2016","unstructured":"Yao, L., Man, Y., Huang, Z., et al.: Secure routing based on social similarity in opportunistic networks. IEEE Trans. Wirel. Commun. 15(1), 594\u2013605 (2016)","journal-title":"IEEE Trans. Wirel. Commun."},{"issue":"1","key":"6_CR5","first-page":"221","volume":"33","author":"Y Wu","year":"2012","unstructured":"Wu, Y., Xiang, Z., Feng, R., et al.: Secure routing based on node trust value in wireless sensor networks. Chin. J. Sci. Instrum. 33(1), 221\u2013228 (2012)","journal-title":"Chin. J. Sci. Instrum."},{"unstructured":"Xiang, L.I.: Local network intrusion detection algorithm based on empirical mode decomposition. J. Southwest China Norm. Univ. (2016)","key":"6_CR6"},{"doi-asserted-by":"crossref","unstructured":"Zhao, Y.: Network intrusion detection system model based on data mining. In: IEEE\/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel\/Distributed Computing, pp. 155\u2013160. IEEE (2016)","key":"6_CR7","DOI":"10.1109\/SNPD.2016.7515894"},{"doi-asserted-by":"crossref","unstructured":"Ranjan, S., Swaminathan, R., et al.: DDoS-resilient scheduling to counter application layer attacks under imperfect detection. In: Proceedings of the 25th IEEE International Conference on Computer Communications, pp. 1\u201313. IEEE, Piscataway (2006)","key":"6_CR8","DOI":"10.1109\/INFOCOM.2006.127"},{"doi-asserted-by":"crossref","unstructured":"Lai, J.Y., Wu, J.S., Chen, S.J., et al.: Designing a taxonomy of web attacks. In: Proceedings of the 3rd International Conference on Convergence and Hybrid Information Technology, pp. 278\u2013282. IEEE, Piscataway (2008)","key":"6_CR9","DOI":"10.1109\/ICHIT.2008.280"},{"doi-asserted-by":"crossref","unstructured":"Gollmann, D.: Computer Security, 2nd edn.","key":"6_CR10","DOI":"10.1002\/wics.106"},{"key":"6_CR11","volume-title":"Snort Intrusion Detection and Prevention Toolkit","author":"B Caswell","year":"2006","unstructured":"Caswell, B., Beale, J., Baker, A.: Snort Intrusion Detection and Prevention Toolkit. Syngress, Rockland (2006)"},{"doi-asserted-by":"crossref","unstructured":"Joshi, A., Geetha, V.: SQL injection detection using machine learning. In: International Conference on Control, Instrumentation, Communication and Computational Technologies, pp. 1111\u20131115. IEEE (2014)","key":"6_CR12","DOI":"10.1109\/ICCICCT.2014.6993127"},{"doi-asserted-by":"crossref","unstructured":"Yu, J., Tao, D., Lin, Z.: A hybrid web log based intrusion detection model. In: International Conference on Cloud Computing and Intelligence Systems, pp. 356\u2013360. IEEE (2016)","key":"6_CR13","DOI":"10.1109\/CCIS.2016.7790283"},{"issue":"5","key":"6_CR14","doi-asserted-by":"publisher","first-page":"717","DOI":"10.1016\/j.comnet.2005.01.009","volume":"48","author":"C Kruegel","year":"2005","unstructured":"Kruegel, C., Vigna, G., Robertson, W.: A multi-model approach to the detection of web-based attacks. Comput. Netw. 48(5), 717\u2013738 (2005)","journal-title":"Comput. Netw."},{"key":"6_CR15","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"858","DOI":"10.1007\/978-3-319-70139-4_87","volume-title":"Neural Information Processing","author":"Z Li","year":"2017","unstructured":"Li, Z., Qin, Z., Huang, K., Yang, X., Ye, S.: Intrusion detection using convolutional neural networks for representation learning. In: Liu, D., Xie, S., Li, Y., Zhao, D., El-Alfy, E.-S. (eds.) ICONIP 2017. LNCS, vol. 10638, pp. 858\u2013866. Springer, Cham (2017). \n                    https:\/\/doi.org\/10.1007\/978-3-319-70139-4_87"},{"doi-asserted-by":"crossref","unstructured":"Kim, J., Kim, J., Thu, H.L.T., et al.: Long short term memory recurrent neural network classifier for intrusion detection. In: International Conference on Platform Technology and Service, pp. 1\u20135. IEEE (2016)","key":"6_CR16","DOI":"10.1109\/PlatCon.2016.7456805"}],"container-title":["Lecture Notes in Computer Science","Human Centered Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-15127-0_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,20]],"date-time":"2019-05-20T08:39:12Z","timestamp":1558341552000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-15127-0_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030151263","9783030151270"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-15127-0_6","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"22 March 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"HCC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Human Centered Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Merida","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Mexico","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 December 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 December 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icpca2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/hcc.scholat.com\/","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"}},{"value":"other","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"146","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"50","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"18","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"34% - 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"}},{"value":"2-3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"4,3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}}]}}