{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,19]],"date-time":"2025-09-19T08:32:29Z","timestamp":1758270749618},"publisher-location":"Berlin, Heidelberg","reference-count":22,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642249648"},{"type":"electronic","value":"9783642249655"}],"license":[{"start":{"date-parts":[[2011,1,1]],"date-time":"2011-01-01T00:00:00Z","timestamp":1293840000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2011]]},"DOI":"10.1007\/978-3-642-24965-5_85","type":"book-chapter","created":{"date-parts":[[2011,11,10]],"date-time":"2011-11-10T18:56:48Z","timestamp":1320951408000},"page":"756-765","source":"Crossref","is-referenced-by-count":38,"title":["Denial-of-Service Attack Detection Based on Multivariate Correlation Analysis"],"prefix":"10.1007","author":[{"given":"Zhiyuan","family":"Tan","sequence":"first","affiliation":[]},{"given":"Aruna","family":"Jamdagni","sequence":"additional","affiliation":[]},{"given":"Xiangjian","family":"He","sequence":"additional","affiliation":[]},{"given":"Priyadarsi","family":"Nanda","sequence":"additional","affiliation":[]},{"given":"Ren Ping","family":"Liu","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"85_CR1","doi-asserted-by":"crossref","unstructured":"Kay, J.: Low Volume Viruses: New Tools for Criminals. In: Network Security, pp. 16\u201318 (2005)","DOI":"10.1016\/S1353-4858(05)70249-X"},{"key":"85_CR2","unstructured":"Gordon, L.A., Loeb, M.P., Lucyshyn, W., Richardson, R.: 2005 CSI\/FBI Computer Crime and Security Survey. Computer Security Journal\u00a021(1) (2005)"},{"key":"85_CR3","first-page":"229","volume-title":"The 13th USENIX Conference on System Administration","author":"M. Roesch","year":"1999","unstructured":"Roesch, M.: Snort-lightweight Intrusion Detection for Networks. In: The 13th USENIX Conference on System Administration, pp. 229\u2013238. USENIX, Seattle (1999)"},{"key":"85_CR4","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 Technological Trends. Computer Networks\u00a051, 3448\u20133470 (2007)","journal-title":"Computer Networks"},{"key":"85_CR5","doi-asserted-by":"crossref","unstructured":"Denning, D.E.: An Intrusion-detection Model. IEEE Transactions on Software Engineering, 222\u2013232 (1987)","DOI":"10.1109\/TSE.1987.232894"},{"key":"85_CR6","doi-asserted-by":"crossref","unstructured":"Jin, C., Wang, H., Shin, K.G.: Hop-count Filtering: An Effective Defense Against Spoofed DDoS Traffic. In: The 10th ACM Conference on Computer and Communications Security, pp. 30\u201341. ACM (2003)","DOI":"10.1145\/948109.948116"},{"key":"85_CR7","doi-asserted-by":"publisher","first-page":"1659","DOI":"10.1016\/j.eswa.2007.01.040","volume":"34","author":"K. Lee","year":"2008","unstructured":"Lee, K., Kim, J., Kwon, K.H., Han, Y., Kim, S.: DDoS Attack Detection Method Using Cluster Analysis. Expert Systems with Applications\u00a034, 1659\u20131665 (2008)","journal-title":"Expert Systems with Applications"},{"key":"85_CR8","doi-asserted-by":"publisher","first-page":"459","DOI":"10.1016\/j.cose.2006.05.003","volume":"25","author":"M. Amini","year":"2006","unstructured":"Amini, M., Jalili, R., Shahriari, H.R.: RT-UNNID: A practical solution to real-time network-based intrusion detection using unsupervised neural networks. Computers & Security\u00a025, 459\u2013468 (2006)","journal-title":"Computers & Security"},{"key":"85_CR9","doi-asserted-by":"publisher","first-page":"6225","DOI":"10.1016\/j.eswa.2010.02.102","volume":"37","author":"G. Wang","year":"2010","unstructured":"Wang, G., Hao, J., Ma, J., Huang, L.: A New Approach to Intrusion Detection Using Artificial Neural Networks and Fuzzy Clustering. Expert Systems with Applications\u00a037, 6225\u20136232 (2010)","journal-title":"Expert Systems with Applications"},{"key":"85_CR10","doi-asserted-by":"crossref","unstructured":"Jamdagni, A., Tan, Z., Nanda, P., He, X., Liu, R.P.: Intrusion Detection Using GSAD Model for HTTP Traffic on Web Services. In: The 6th International Wireless Communications and Mobile Computing Conference, pp. 1193\u20131197. ACM (2010)","DOI":"10.1145\/1815396.1815669"},{"key":"85_CR11","doi-asserted-by":"publisher","first-page":"441","DOI":"10.1142\/S0218001403002459","volume":"17","author":"M. Fugate","year":"2003","unstructured":"Fugate, M., Gattiker, J.R.: Computer Intrusion Detection with Classification and Anomaly Detection Using SVMs. International Journal of Pattern Recognition and Artificial Intelligence\u00a017, 441\u2013458 (2003)","journal-title":"International Journal of Pattern Recognition and Artificial Intelligence"},{"key":"85_CR12","doi-asserted-by":"publisher","first-page":"295","DOI":"10.1145\/322510.322526","volume":"2","author":"T. Lane","year":"1999","unstructured":"Lane, T., Brodley, C.E.: Temporal Sequence Learning and Data Reduction for Anomaly Detection. ACM Transactions on Information and System Security (TISSEC)\u00a02, 295\u2013331 (1999)","journal-title":"ACM Transactions on Information and System Security (TISSEC)"},{"key":"85_CR13","doi-asserted-by":"crossref","unstructured":"Ye, N., Emran, S.M., Chen, Q., Vilbert, S.: Multivariate Statistical Analysis of Audit Trails for Host-based Intrusion Detection. IEEE Transactions on Computers, 810\u2013820 (2002)","DOI":"10.1109\/TC.2002.1017701"},{"key":"85_CR14","doi-asserted-by":"publisher","first-page":"76","DOI":"10.1109\/MCOM.2002.1039860","volume":"40","author":"C. Manikopoulos","year":"2002","unstructured":"Manikopoulos, C., Papavassiliou, S.: Network Intrusion and Fault Detection: A Statistical Anomaly Approach. IEEE Communications Magazine\u00a040, 76\u201382 (2002)","journal-title":"IEEE Communications Magazine"},{"key":"85_CR15","doi-asserted-by":"publisher","first-page":"2185","DOI":"10.1016\/j.patcog.2006.12.010","volume":"40","author":"S. Jin","year":"2007","unstructured":"Jin, S., Yeung, D.S., Wang, X.: Network Intrusion Detection in Covariance Feature Space. Pattern Recognition\u00a040, 2185\u20132197 (2007)","journal-title":"Pattern Recognition"},{"key":"85_CR16","doi-asserted-by":"publisher","first-page":"302","DOI":"10.1109\/TSMCB.2005.843274","volume":"35","author":"S.T. Sarasamma","year":"2005","unstructured":"Sarasamma, S.T., Zhu, Q.A., Huff, J.: Hierarchical Kohonenen Net for Anomaly Detection in Network Security. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics\u00a035, 302\u2013312 (2005)","journal-title":"IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics"},{"key":"85_CR17","doi-asserted-by":"publisher","first-page":"2191","DOI":"10.1109\/TSP.2003.814797","volume":"51","author":"M. Thottan","year":"2003","unstructured":"Thottan, M., Ji, C.: Anomaly Detection in IP Networks. IEEE Transactions on Signal Processing\u00a051, 2191\u20132204 (2003)","journal-title":"IEEE Transactions on Signal Processing"},{"key":"85_CR18","doi-asserted-by":"crossref","unstructured":"Wang, H., Zhang, D., Shin, K.G.: Change-point Monitoring for the Detection of DoS Attacks. IEEE Transactions on Dependable and Secure Computing, 193\u2013208 (2004)","DOI":"10.1109\/TDSC.2004.34"},{"key":"85_CR19","doi-asserted-by":"crossref","unstructured":"Tavallaee, M., Lu, W., Iqbal, S.A., Ghorbani, A.A.: A Novel Covariance Matrix Based Approach for Detecting Network Anomalies. In: The Communication Networks and Services Research Conference, pp. 75\u201381. IEEE (2008)","DOI":"10.1109\/CNSR.2008.80"},{"key":"85_CR20","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1145\/507515.507523","volume":"3","author":"J. Cheng","year":"2002","unstructured":"Cheng, J., Hatzis, C., Hayashi, H., Krogel, M.A., Morishita, S., Page, D., Sese, J.: KDD Cup 2001 report. ACM SIGKDD Explorations Newsletter\u00a03, 47\u201364 (2002)","journal-title":"ACM SIGKDD Explorations Newsletter"},{"key":"85_CR21","doi-asserted-by":"crossref","unstructured":"Tavallaee, M., Bagheri, E., Lu, W., Ghorbani, A.A.: A Detailed Analysis of the KDD Cup 99 Data Set. In: The Second IEEE International Conference on Computational Intelligence for Security and Defense Applications, pp. 1\u20136. IEEE (2009)","DOI":"10.1109\/CISDA.2009.5356528"},{"key":"85_CR22","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"520","DOI":"10.1007\/978-3-642-10684-2_58","volume-title":"Neural Information Processing","author":"Y. Chen","year":"2009","unstructured":"Chen, Y., Pang, S., Kasabov, N., Ban, T., Kadobayashi, Y.: Hierarchical Core Vector Machines for Network Intrusion Detection. In: Leung, C.S., Lee, M., Chan, J.H. (eds.) ICONIP 2009. LNCS, vol.\u00a05864, pp. 520\u2013529. Springer, Heidelberg (2009)"}],"container-title":["Lecture Notes in Computer Science","Neural Information Processing"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-24965-5_85","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,6,19]],"date-time":"2019-06-19T11:10:56Z","timestamp":1560942656000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-24965-5_85"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011]]},"ISBN":["9783642249648","9783642249655"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-24965-5_85","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2011]]}}}