{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T05:55:48Z","timestamp":1743141348501,"version":"3.40.3"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319195773"},{"type":"electronic","value":"9783319195780"}],"license":[{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015]]},"DOI":"10.1007\/978-3-319-19578-0_31","type":"book-chapter","created":{"date-parts":[[2015,5,12]],"date-time":"2015-05-12T04:07:21Z","timestamp":1431403641000},"page":"381-393","source":"Crossref","is-referenced-by-count":7,"title":["A Multi-agents Intrusion Detection System Using Ontology and Clustering Techniques"],"prefix":"10.1007","author":[{"given":"Imen","family":"Brahmi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hanen","family":"Brahmi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sadok Ben","family":"Yahia","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"31_CR1","doi-asserted-by":"crossref","unstructured":"Abdoli, F., Kahani, M.: Ontology-based Distributed Intrusion Detection System. In: Proceedings of the 14th International CSI Computer Conference CSICC 2009, Tehran, Iran, pp. 65\u201370 (2009)","DOI":"10.1109\/CSICC.2009.5349372"},{"issue":"8","key":"31_CR2","doi-asserted-by":"publisher","first-page":"75","DOI":"10.5815\/ijitcs.2013.08.08","volume":"5","author":"C. Azad","year":"2013","unstructured":"Azad, C., Jha, V.K.: Data Mining in Intrusion Detection: A Comparative Study of Methods, Types and Data Sets. International Journal of Information Technology and Computer Science (IJITCS)\u00a05(8), 75\u201390 (2013)","journal-title":"International Journal of Information Technology and Computer Science (IJITCS)"},{"issue":"1","key":"31_CR3","first-page":"1","volume":"3","author":"R.R. Azevedoln","year":"2010","unstructured":"Azevedoln, R.R., Dantas, E.R.G., Santos, R.C., Rodrigues, C., Almeida, M.J.S.C., Freitas, F., Veras, W.C.: An Autonomic Ontology-Based Multiagent System for Intrusion Detection in Computing Environments. The International Journal for Infonomics\u00a03(1), 1\u20137 (2010)","journal-title":"The International Journal for Infonomics"},{"key":"31_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"173","DOI":"10.1007\/978-3-642-27609-5_12","volume-title":"Agents and Data Mining Interaction","author":"I. Brahmi","year":"2012","unstructured":"Brahmi, I., Ben Yahia, S., Aouadi, H., Poncelet, P.: Towards a Multiagent-Based Distributed Intrusion Detection System Using Data Mining Approaches. In: Cao, L., Bazzan, A.L.C., Symeonidis, A.L., Gorodetsky, V.I., Weiss, G., Yu, P.S. (eds.) ADMI 2011. LNCS, vol.\u00a07103, pp. 173\u2013194. Springer, Heidelberg (2012)"},{"key":"31_CR5","unstructured":"Brahmi, I., Ben Yahia, S., Poncelet, P.: \n                    \n                      \n                    \n                    $\\mathcal{AD}$\n                  -\n                    \n                      \n                    \n                    ${\\mathcal{C}}$\n                  \n                  lust: D\u00e9tection des anomalies bas\u00e9e sur le Clustering. In: Atelier Clustering Incr\u00e9mental et M\u00e9thodes de D\u00e9tection de Nouveaut\u00e9 en conjonction avec 11\u00e8me Conf\u00e9rence Francophone d\u2019Extraction et de Gestion de Connaissances EGC 2011, Brest, France, pp. 27\u201341 (2011)"},{"key":"31_CR6","series-title":"LNEE","doi-asserted-by":"publisher","first-page":"265","DOI":"10.1007\/978-3-319-03692-2_21","volume-title":"Networks and Communications (NetCom2013)","author":"K. Brahmkstri","year":"2014","unstructured":"Brahmkstri, K., Thomas, D., Sawant, S.T., Jadhav, A., Kshirsagar, D.D.: Ontology Based Multi-Agent Intrusion Detection System for Web Service Attacks Using Self Learning. In: Meghanathan, N., Nagamalai, D., Rajasekaran, S. (eds.) Networks and Communications (NetCom2013). LNEE, vol.\u00a0284, pp. 265\u2013274. Springer, Heidelberg (2014)"},{"issue":"3","key":"31_CR7","doi-asserted-by":"publisher","first-page":"288","DOI":"10.1504\/IJAMC.2008.020181","volume":"2","author":"T.N. Djotio","year":"2008","unstructured":"Djotio, T.N., Tangha, C., Tchangoue, F.N., Batchakui, B.: MONI: Mobile Agents Ontology based for Network Intrusions Management. International Journal of Advanced Media and Communication\u00a02(3), 288\u2013307 (2008)","journal-title":"International Journal of Advanced Media and Communication"},{"key":"31_CR8","doi-asserted-by":"crossref","unstructured":"Duan, L.: Density-Based Clustering and Anomaly Detection. In: Mircea, M. (ed.) Business Intelligence - Solution for Business Development, pp. 79\u201396 (2012)","DOI":"10.5772\/36695"},{"key":"31_CR9","unstructured":"Horrocks, I., Patel-Schneider, P.F., Boley, H., Tabet, S., Grosof, B., Dean, M.: SWRL: A Semantic Web Rule Language Combining OWL and RuleML (2004), \n                    \n                      http:\/\/www.w3.org\/Submission\/SWRL\/"},{"key":"31_CR10","first-page":"376","volume":"5","author":"G.A. Isaza","year":"2010","unstructured":"Isaza, G.A., Castillo, A.G., L\u00f3pez, M., Castillo, L.F.: Towards Ontology-Based Intelligent Model for Intrusion Detection and Prevention. Journal of Information Assurance and Security\u00a05, 376\u2013383 (2010)","journal-title":"Journal of Information Assurance and Security"},{"key":"31_CR11","doi-asserted-by":"crossref","unstructured":"Kim, G., Lee, S., Kim, S.: A Novel Hybrid Intrusion Detection Method Integrating Anomaly Detection With Misuse Detection. Expert Systems with Applications, 41(4, pt. 2 ), 1690\u20131700 (2014)","DOI":"10.1016\/j.eswa.2013.08.066"},{"issue":"2010","key":"31_CR12","doi-asserted-by":"publisher","first-page":"7138","DOI":"10.1016\/j.eswa.2010.03.068","volume":"37","author":"W. Li","year":"2010","unstructured":"Li, W., Tian, S.: An Ontology-Based Intrusion Alerts Correlation System. Expert Systems with Applications\u00a037(2010), 7138\u20137146 (2010)","journal-title":"Expert Systems with Applications"},{"key":"31_CR13","unstructured":"Mandujano, S., Galvan, A., Nolazco, J.A.: An Ontology-Based Multiagent Approach to Outbound Intrusion Detection. In: Proceedings of the International Conference on Computer Systems and Applications, AICCSA 2005, Cairo, Egypt, pp. 94\u2013I (2005)"},{"key":"31_CR14","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1016\/j.ins.2011.06.020","volume":"231","author":"C.I. Pinz\u00f3N","year":"2013","unstructured":"Pinz\u00f3N, C.I., De Paz, J.F., Herrero, \u00c1., Corchado, E., Bajo, J., Corchado, J.M.: idMAS-SQL: Intrusion Detection Based on MAS to Detect and Block SQL Injection Through Data Mining. Information Sciences\u00a0231, 15\u201331 (2013)","journal-title":"Information Sciences"},{"issue":"2","key":"31_CR15","doi-asserted-by":"publisher","first-page":"29","DOI":"10.5121\/ijdkp.2014.4203","volume":"4","author":"R. Ranjan","year":"2014","unstructured":"Ranjan, R., Sahoo, G.: A New Clustering Approach For Anomaly Intrusion Detection. International Journal of Data Mining and Knowledge Management Process (IJDKP)\u00a04(2), 29\u201338 (2014)","journal-title":"International Journal of Data Mining and Knowledge Management Process (IJDKP)"},{"key":"31_CR16","doi-asserted-by":"crossref","unstructured":"Raskin, V., Hempelmann, C.F., Triezenberg, K.E., Nirenburg, S.: Ontology in Information Security: A Useful Theoretical Foundation and Methodological Tool. In: Proceedings of the 2001 Workshop on New Security Paradigms, NSPW 2001, Cloudcroft, New Mexico, pp. 53\u201359 (2001)","DOI":"10.1145\/508179.508180"},{"key":"31_CR17","unstructured":"Roesch, M.: Snort - Lightweight Intrusion Detection System for Networks. In: Proceedings of of the 13th USENIX Conference on System Administration (LISA 1999), Seattle, Washington, pp. 229\u2013238 (1999)"},{"issue":"18","key":"31_CR18","doi-asserted-by":"publisher","first-page":"19","DOI":"10.5120\/18705-9636","volume":"106","author":"A. Sodiya","year":"2014","unstructured":"Sodiya, A., Ojesanmi, O., Akinola, O.C., Aborisade, O.: Neural Network based Intrusion Detection Systems. International Journal of Computer Applications\u00a0106(18), 19\u201324 (2014)","journal-title":"International Journal of Computer Applications"},{"key":"31_CR19","doi-asserted-by":"crossref","unstructured":"Syarif, I., Prugel-Bennett, A., Wills, G.: Unsupervised Clustering Approach for Network Anomaly Detection. In: Proceedings of the 4th International Conference on Networked Digital Technologies (NDT 2012), Dubai, AE, pp. 135\u2013145 (2012)","DOI":"10.1007\/978-3-642-30507-8_13"},{"key":"31_CR20","doi-asserted-by":"crossref","unstructured":"Undercoffer, J., Joshi, A., Pinkston, J.: Modeling Computer Attacks: An Ontology for Intrusion Detection. In: Proceedings of the 6th International Workshop on the Recent Advances in Intrusion Detection, Pittsburgh, PA, USA, pp. 113\u2013135 (2003)","DOI":"10.1007\/978-3-540-45248-5_7"}],"container-title":["IFIP Advances in Information and Communication Technology","Computer Science and Its Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-19578-0_31","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,29]],"date-time":"2019-05-29T20:52:43Z","timestamp":1559163163000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-19578-0_31"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"ISBN":["9783319195773","9783319195780"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-19578-0_31","relation":{},"ISSN":["1868-4238","1868-422X"],"issn-type":[{"type":"print","value":"1868-4238"},{"type":"electronic","value":"1868-422X"}],"subject":[],"published":{"date-parts":[[2015]]}}}