<?xml version="1.0" encoding="UTF-8"?>
<doi_batch version="4.3.0" xmlns="http://www.crossref.org/doi_resources_schema/4.3.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.crossref.org/doi_resources_schema/4.3.0 http://www.crossref.org/schema/deposit/doi_resources4.3.0.xsd">
<head>
<doi_batch_id>70a130cf-9d33-4cd3-bacc-33f6d14fbf6c</doi_batch_id>
<depositor>
<name>beie</name>
<email_address>director@blueeyesintelligence.org</email_address>
</depositor>
</head>
<body>
<doi_citations>
<doi>10.35940/ijitee.K9295.10111122</doi>
<citation_list><citation key="ref0"><doi>10.1109/NETSOFT.2016.7502445</doi><unstructured_citation>Gorkemli B., Parlakisik A. M., Civanlar S., Ulas A., Tekalp A. M.: Dynamic management of control plane performance in software-defined networks. Proc. IEEE NetSoft Conf. Workshops, Seoul, South Korea, , pp. 68-72 (2016) [CrossRef]</unstructured_citation></citation><citation key="ref1"><doi>10.1007/s11042-016-4137-0</doi><unstructured_citation>Mohammadi R., Javidan R.: An adaptive type-2 fuzzy traffic engineering method for video surveillance systems over software defined networks. Multimedia Tools Appl., pp. 1-16 (2016) [CrossRef]</unstructured_citation></citation><citation key="ref2"><unstructured_citation>Online document, Open Networking Foundation, http://www.opennetworking.org, Accessed Nov 2019</unstructured_citation></citation><citation key="ref3"><doi>10.1109/JPROC.2014.2371999</doi><unstructured_citation>Kreutz D., Ramos F. M. V., Veríssimo P. E., Rothenberg C., Azodolmolky S., Uhlig S.: Software-defined networking: A comprehensive survey. Proc. IEEE, vol. 103, no. 1, pp. 14-76 (2015) [CrossRef]</unstructured_citation></citation><citation key="ref4"><doi>10.1109/INFCOM.2013.6567024</doi><unstructured_citation>Agarwal S., Kodialam M., Lakshman.: Traffic engineering in software defined networks&quot;, Proc. IEEE INFOCOM, Italy,pp. 2211-2219 (2013) [CrossRef]</unstructured_citation></citation><citation key="ref5"><doi>10.4018/IJIIT.2016100103</doi><unstructured_citation>Reza Mohammadi and Javidan R.: An intelligent traffic engineering method over software defined networks for video surveillance systems based on artificial bee colony. Int. J. Intell. Inf. Technol., vol. 12, no. 4, pp. 45-62 (2016) [CrossRef]</unstructured_citation></citation><citation key="ref6"><unstructured_citation>Online document, Open vSwitch, http://www.openvswitch.org, Accessed: Dec 2019</unstructured_citation></citation><citation key="ref7"><doi>10.1109/ICUFN.2014.6876752</doi><unstructured_citation>Lim S., Ha J., Kim H., Kim Y, Yang S.: A SDN-oriented DDoS blocking scheme for botnet-based attacks. IEEE International Conference on Ubiquitous and Future Networks (2014). [CrossRef]</unstructured_citation></citation><citation key="ref8"><unstructured_citation>García de la, Villa A.: Distributed denial of service attacks defenses and OpenFlow: implementing denial-of-service defense mechanisms with software defined networking (2014)</unstructured_citation></citation><citation key="ref9"><doi>10.1109/ICC.2016.7510992</doi><unstructured_citation>Dong P., Du X., Zhang H., Xu T.: A detection method for a novel DDoS attack against SDN controllers by vast new low-traffic flows. IEEE International Conference on Communications, pp. 1-6 (2016) [CrossRef]</unstructured_citation></citation><citation key="ref10"><unstructured_citation>Mingxin, W., Huachun, Z., Jia, C., Hongke Z.: An entropy based anomaly traffic detection approach in SDN. Telecommun. Sci., vol. 31, issue 9 (2015)</unstructured_citation></citation><citation key="ref11"><doi>10.1109/ICCNC.2015.7069319</doi><unstructured_citation>Mousavi, S.M., Hilaire, M.: Early detection of DDoS attacks against SDN controllers. IEEE International Conference on Computing, Networking and Communications (2016) [CrossRef]</unstructured_citation></citation><citation key="ref12"><unstructured_citation>Shu, Y., Mei, M., Huang, H.: Research on DDoS attack detection based on conditional entropy in SDN environment. Wirel. Internet Technol. 5, pp. 75-76 (2016)</unstructured_citation></citation><citation key="ref13"><doi>10.1016/j.procs.2016.05.072</doi><unstructured_citation>Jantila, S., Chaipah, K.: A security analysis of a hybrid mechanism to defend DDoS attacks in SDN. Proc. Comput. Sci. 86, pp. 437-440 (2016) [CrossRef]</unstructured_citation></citation><citation key="ref14"><unstructured_citation>Trung T. V., Huong T. T., Tuyen D. V., Duc D. M., Marshall A.: A multi-criteria-based DDoS-attack prevention solution using software defined networking. IEEE International Conference on Advanced Technologies for Communications, pp. 308-313 (2015)</unstructured_citation></citation><citation key="ref15"><unstructured_citation>Online document, Simple HTTP Server Documentation, http://docs.python.org (accessed April 2020)</unstructured_citation></citation><citation key="ref16"><doi>10.1109/DSN.2015.27</doi><unstructured_citation>Wang H., Xu L., Gu G.: Floodguard: A DoS attack prevention extension in software-defined networks. Proc. 45th Annu. IEEE/IFIP Int. Conf. Depend. Syst. Netw., Rio de Janeiro, Brazil, pp. 239-250 (2015). [CrossRef]</unstructured_citation></citation><citation key="ref17"><doi>10.1007/978-3-642-23644-0_9</doi><unstructured_citation>Mehdi S. A., Khalid J., Khayam S. A.: Revisiting traffic anomaly detection using software defined networking. Proc. Int. Workshop Recent Adv. Intrusion Detection, Menlo Park, CA, USA, pp. 161-180 (2011) [CrossRef]</unstructured_citation></citation><citation key="ref18"><doi>10.1109/NOMS.2016.7502920</doi><unstructured_citation>Cejka T., Krejci R.: Configuration of open vSwitch using OF-CONFIG. IEEE/IFIP Network Operations and Management Symposium, Istanbul, Turkey (2016) [CrossRef]</unstructured_citation></citation><citation key="ref19"><doi>10.1145/1355734.1355746</doi><unstructured_citation>McKeown N., Anderson T. E., Balakrishnan H., Parulkar G., Peterson L. L., Rexford J., Shenker S. J., Turner J.: OpenFlow: Enabling innovation in campus networks. ACM SIGCOMM Comput. Commun. Rev., vol. 38, no. 2, pp. 69-74 (2008) [CrossRef]</unstructured_citation></citation><citation key="ref20"><unstructured_citation>Pfaff B., Lantz B., and Heller B.: Openflow Switch Specification. Version 1.3. 0, Open Networking Foundation (2012)</unstructured_citation></citation><citation key="ref21"><doi>10.1109/TR.2015.2421391</doi><unstructured_citation>Ali S. T., Sivaraman V., Radford A., Jha S.: A survey of securing networks using software defined networking. IEEE Trans. Rel., vol. 64, no. 3, pp. 1086-1097 (2015) [CrossRef]</unstructured_citation></citation><citation key="ref22"><doi>10.1109/ICC.2015.7249158</doi><unstructured_citation>Wei L., Fung C.: Flowranger: A request prioritizing algorithm for controller dos attacks in software defined networks. Proc. IEEE Int. Conf. Commun. (ICC), London, U.K., pp. 5254-5259 (2015) [CrossRef]</unstructured_citation></citation><citation key="ref23"><doi>10.1109/COMST.2015.2453114</doi><unstructured_citation>Scott-Hayward S., Natarajan S., Sezer, S.: A survey of security in software defined networks. IEEE Commun. Surveys Tuts., vol. 18, no. 1, pp. 623-654 (2015) [CrossRef]</unstructured_citation></citation><citation key="ref24"><unstructured_citation>Online document, Hping, http://www.hping.org/, Accessed March 2020</unstructured_citation></citation><citation key="ref25"><unstructured_citation>Online document, Scapy, http://www.secdev.org/, Accessed March 2020</unstructured_citation></citation><citation key="ref26"><unstructured_citation>Online document, Mininet, http://www.mininet.org, Accessed March 2020</unstructured_citation></citation><citation key="ref27"><unstructured_citation>Mota E., Passito A., Braga R.: Lightweight DDoS flooding attack detection usingNOX/Openflow. IEEE 35th conference on Local Computer Networks, pp. 408-415 (2010)</unstructured_citation></citation><citation key="ref28"><doi>10.1007/978-3-540-45248-5_3</doi><unstructured_citation>Ostermann S., Tjaden B., Ramadas M.: Detecting anamalous network traffic with self-organizing maps. Recent Advances in Intrusion Detection, pp. 36-54 (2003) [CrossRef]</unstructured_citation></citation><citation key="ref29"><doi>10.1145/2508859.2516684</doi><unstructured_citation>Shin S., Yegneswaran V., Porras P., Gu G.: AVANT-GUARD: Scalable and vigilant switch flow management in software-defined networks. Proc. ACM SIGSAC Conf. Comput. Commun. Security, Berlin, Germany, pp. 413-424 (2013) [CrossRef]</unstructured_citation></citation><citation key="ref30"><doi>10.9717/kmms.2014.17.8.988</doi><unstructured_citation>Nugraha M., Paramita I., Musa A., Choi D., Cho B.: Utilizing OpenFlow and sFlow to detect and mitigate SYN flooding attack. J.Korea Multimedia Soc., vol. 17, no. 8, pp. 988-994 (2014) [CrossRef]</unstructured_citation></citation><citation key="ref31"><doi>10.1145/2714576.2714612</doi><unstructured_citation>Ambrosin M., Conti M., Gaspari F. De, Poovendran R.: Lineswitch: Efficiently managing switch flow in software-defined networking while effectively tackling dos attacks. Proc. 10th ACM Symp. Inf. Comput. Commun. Security, Singapore, pp. 639-644 (2015) [CrossRef]</unstructured_citation></citation><citation key="ref32"><doi>10.14722/ndss.2015.23064</doi><unstructured_citation>Dhawan M., Poddar R., Mahajan K., Mann V.: Sphinx: Detecting security attacks in software-defined networks. In: Proc. NDSS, San Diego, CA, USA (2015) [CrossRef]</unstructured_citation></citation><citation key="ref33"><unstructured_citation>Online document,POX, https://openflow.stanford.edu/display/ONL/POX , Accessed April 2020</unstructured_citation></citation><citation key="ref34"><doi>10.1109/ICDCSW.2015.27</doi><unstructured_citation>Chin T., Mountrouidou X., Li X., Xiong K.: Selective packet inspection to detect DoS flooding using software defined networking. Proc. IEEE 35th Int. Conf. Distrib. Comput. Syst. Workshops, Columbus, OH, USA, pp. 95-99 (2015) [CrossRef]</unstructured_citation></citation><citation key="ref35"><doi>10.1016/j.comnet.2015.08.038</doi><unstructured_citation>Fichera S., Galluccio L., Grancagnolo S. C., Morabito G., Palazzo S.: OPERETTA: An Openflow-based Remedy to mitigate TCP SYN FLOOD attacks against Web servers. Comput. Netw., vol. 92, no. 1,pp. 89-100 (2015) [CrossRef]</unstructured_citation></citation><citation key="ref36"><doi>10.1109/TNSM.2017.2701549</doi><unstructured_citation>Mohammadi R., Javidan R., Conti M.: SLICOTS: An SDN-Based Light weight Counter measure for TCP SYN Flooding Attacks. IEEE Trans., vol. 14, No. 2, pp. 487 - 497 (2017) [CrossRef]</unstructured_citation></citation><citation key="ref37"><doi>10.17487/rfc6298</doi><unstructured_citation>Paxson M., Allman M., Chu J., Sargent M.: Computing TCP's retransmission timer. IETF, Fremont, CA, USA, Tech. Rep. RFC 6298 (2011) [CrossRef]</unstructured_citation></citation><citation key="ref38"><doi>10.1109/TNSM.2018.2861741</doi><unstructured_citation>Kumar P., Tripathi M., Nehra A., Conti M., Lal C.: SAFETY: Early Detection and Mitigation of TCPSYN Flood Utilizing Entropy in SDN. IEEE Trans., Vol. 15, No. 4, pp. 1545 - 1559 (2018) [CrossRef]</unstructured_citation></citation><citation key="ref39"><doi>10.1109/ACCESS.2019.2895334</doi><unstructured_citation>Vinayakumar R., Alazab M., Soman K.P., Poornachandran P., AlNemrat A.: Deep Learning Approach for Intelligent Intrusion Detection System. IEEE Access vol. 7, pp 41525-41550, DOI: 10.1109/ACCESS.2019.2895334 (2019) [CrossRef]</unstructured_citation></citation><citation key="ref40"><doi>10.1109/TIA.2020.2971952</doi><unstructured_citation>Vinayakumar R., Alazab M., Srinivasan S., Pham Q.; Soman K., Simran K.: A Visualized Botnet Detection System Based Deep Learning for the Internet of Things Networks of Smart Cities. IEEE Transactions on Industry Applications vol. 56(4), pp 4436-4456, DOI: 10.1109/TIA.2020.2971952 (2020) [CrossRef]</unstructured_citation></citation><citation key="ref41"><doi>10.1007/s12652-020-02461-6</doi><unstructured_citation>Jafari L., Mostafavi S., Mizanian K., Jafari E.: An intelligent botnet blocking approach in software defined networks using honeypots. Journal of Ambient Intelligence and Humanized Computing DOI: 10.1007/s12652-020-02461-6 (2020) [CrossRef]</unstructured_citation></citation><citation key="ref42"><doi>10.1016/j.jnca.2021.103108</doi><unstructured_citation>Ahuja N., Singal G., Mukhopadhyay D., Kumar N.: Automated DDOS attack detection in software defined networking. Journal of Network and Computer Applications, Vol. 187 (2021) [CrossRef]</unstructured_citation></citation><citation key="ref43"><unstructured_citation>Book, Oswald, Azodolmolky: Setting Up the Environment in Software-Defined Networking with OpenFlow. IInd Ed., Packt Publishing. Peters, Birmingham, UK: Packt, ch. 5, pp. 1667-1823 (2017).</unstructured_citation></citation></citation_list>
</doi_citations>
</body>
</doi_batch>
