{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T11:21:35Z","timestamp":1769944895593,"version":"3.49.0"},"reference-count":19,"publisher":"Institute of Electronics, Information and Communications Engineers (IEICE)","issue":"9","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEICE Trans. Inf. &amp; Syst."],"published-print":{"date-parts":[[2016]]},"DOI":"10.1587\/transinf.2016edl8016","type":"journal-article","created":{"date-parts":[[2016,9,1]],"date-time":"2016-09-01T19:26:03Z","timestamp":1472757963000},"page":"2395-2399","source":"Crossref","is-referenced-by-count":13,"title":["A Collaborative Intrusion Detection System against DDoS for SDN"],"prefix":"10.1587","volume":"E99.D","author":[{"given":"Xiaofan","family":"CHEN","sequence":"first","affiliation":[{"name":"School of Information Science and Technology, Sun Yat-Sen University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shunzheng","family":"YU","sequence":"additional","affiliation":[{"name":"School of Information Science and Technology, Sun Yat-Sen University"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"532","reference":[{"key":"1","doi-asserted-by":"crossref","unstructured":"[1] C.V. Zhou, C. Leckie, and S. Karunasekera, \u201cA survey of coordinated attacks and collaborative intrusion detection,\u201d Elsevier Computers &amp; Security, vol.29, no.1, pp.124-140, 2010.","DOI":"10.1016\/j.cose.2009.06.008"},{"key":"2","doi-asserted-by":"crossref","unstructured":"[2] R. Braga, E. Mota, and A. Passito, \u201cLightweight DDoS flooding attack detection using NOX\/OpenFlow,\u201d Proc. 35th IEEE LCN, pp.408-415, IEEE, 2010.","DOI":"10.1109\/LCN.2010.5735752"},{"key":"3","unstructured":"[3] Radware, \u201cDDoS Protection as a Native SDN Application by Radware &amp; Big Switch Networks,\u201d https:\/\/www.radware.com\/Solutions\/SDN-Resources, 2013."},{"key":"4","doi-asserted-by":"crossref","unstructured":"[4] S. Shin, V. Yegneswaran, P. Porras, and G. Gu, \u201cAVANT-GUARD: scalable and vigilant switch flow management in software-defined networks,\u201d Proc. ACM CCS, pp.413-424, ACM, 2013.","DOI":"10.1145\/2508859.2516684"},{"key":"5","doi-asserted-by":"crossref","unstructured":"[5] K. Giotis, C. Argyropoulos, G. Androulidakis, D. Kalogeras, and V. Maglaris, \u201cCombining openflow and sflow for an effective and scalable anomaly detection and mitigation mechanism on sdn environments,\u201d Elsevier Computer Networks, vol.62, pp.122-136, 2014.","DOI":"10.1016\/j.bjp.2013.10.014"},{"key":"6","doi-asserted-by":"crossref","unstructured":"[6] A. Lazarevic, D. Pokrajac, and J. Nikolic, \u201cApplications of neural networks in network intrusion detection,\u201d 8th Seminar on NNAEE, pp.59-64, IEEE, 2006.","DOI":"10.1109\/NEUREL.2006.341176"},{"key":"7","unstructured":"[7] S.M. Mousavi, Early detection of ddos attacks in software defined networks controller, Master&apos;s Thesis, Carleton Univercity, 2014."},{"key":"8","doi-asserted-by":"crossref","unstructured":"[8] J. Li, S. Berg, M. Zhang, P. Reiher, and T. Wei, \u201cDrawbridge: software-defined ddos-resistant traffic engineering,\u201d Proc. ACM SIGCOMM, vol.44, no.4, pp.591-592, ACM, 2014.","DOI":"10.1145\/2740070.2631469"},{"key":"9","doi-asserted-by":"crossref","unstructured":"[9] X.-F. Chen and S.-Z. Yu, \u201cCIPA: a collaborative intrusion prevention architecture for programmable network and SDN,\u201d Elsevier Computers &amp; Security, vol.58, pp.1-19, 2016.","DOI":"10.1016\/j.cose.2015.11.008"},{"key":"10","unstructured":"[10] S. Haykin, Neural networks: a comprehensive foundation, 3rd ed., pp.230-263, Pearson Prentice Hall, Upper Saddle River, NJ, 2008."},{"key":"11","doi-asserted-by":"crossref","unstructured":"[11] J. Bi, K. Zhang, and X. Cheng, \u201cIntrusion detection based on RBF neural network,\u201d Proc. International Symposium on Information Engineering and Electronic Commerce, pp.357-360, IEEE, 2009.","DOI":"10.1109\/IEEC.2009.80"},{"key":"12","unstructured":"[12] OVS, \u201cOpen vSwitch,\u201d http:\/\/openvswitch.org\/, 2015."},{"key":"13","unstructured":"[13] MurphyMc, \u201cPOX,\u201d https:\/\/github.com\/noxrepo\/pox\/, 2015."},{"key":"14","unstructured":"[14] Stanford, \u201cMininet,\u201d http:\/\/mininet.org\/, 2015."},{"key":"15","unstructured":"[15] Boston, \u201cBRITE: Boston university Representative Internet Topology Generator,\u201d http:\/\/www.cs.bu.edu\/brite\/, 2015."},{"key":"16","unstructured":"[16] P. Biondi, \u201cScapy,\u201d http:\/\/www.secdev.org\/projects\/scapy\/, 2015."},{"key":"17","unstructured":"[17] S.T. Zargar, J. Joshi, and D. Tipper, \u201cA survey of defense mechanisms against distributed denial of service (ddos) flooding attacks,\u201d IEEE Comm. Surv. &amp; Tutorials, vol.15, no.4, pp.2046-2069, 2013."},{"key":"18","doi-asserted-by":"crossref","unstructured":"[18] S. Chen, C.F.N. Cowan, and P.M. Grant, \u201cOrthogonal least squares learning algorithm for radial basis function networks,\u201d IEEE Trans. Neural Networks, vol.2, no.2, pp.302-309, 1991.","DOI":"10.1109\/72.80341"},{"key":"19","doi-asserted-by":"crossref","unstructured":"[19] S. Lim, J. Ha, H. Kim, Y. Kim, and S. Yang, \u201cA SDN-oriented DDoS blocking scheme for botnet-based attacks,\u201d Ubiquitous and Future Networks (ICUFN), 2014 Sixth International Conf on, pp.63-68, IEEE, 2014.","DOI":"10.1109\/ICUFN.2014.6876752"}],"container-title":["IEICE Transactions on Information and Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E99.D\/9\/E99.D_2016EDL8016\/_pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,12]],"date-time":"2019-09-12T23:51:18Z","timestamp":1568332278000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E99.D\/9\/E99.D_2016EDL8016\/_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"references-count":19,"journal-issue":{"issue":"9","published-print":{"date-parts":[[2016]]}},"URL":"https:\/\/doi.org\/10.1587\/transinf.2016edl8016","relation":{},"ISSN":["0916-8532","1745-1361"],"issn-type":[{"value":"0916-8532","type":"print"},{"value":"1745-1361","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016]]}}}