Computer Science ›› 2022, Vol. 49 ›› Issue (6A): 555-561.doi: 10.11896/jsjkx.210800095
• Information Security • Previous Articles Next Articles
YANG Ya-hong, WANG Hai-rui
CLC Number:
| [1] HUAWEI:Special Report on Botnets and DDoS Attacks in 2013[EB/OL].https://wenku.baidu.com/view/be2c30aa700abb68a982fb80.html. [2] POLAT H,POLAT O,CETIN A.Detecting DDoS Attacks in Software-Defined Networks Through Feature Selection Methods and Machine Learning Models[J].Sustainability,2020,12(3):1035. [3] MOUSAVI S MST-HILAIRE M.Early detection of DDoS attacks against sdn controllers[C]//Proceedings of the 2015 International Conference on Computing,Networking and Communications(ICNC).IEEE,Garden Grove,CA,USA,2015:77-81. [4] ALBAHAR M A.Recurrent Neural Network Model Based on a New RegularizationTechnique for Real-Time Intrusion Detection in SDN Environments[J].Security and Communication Networks,2019(11):1-9. [5] DONG P,DU X,ZHANG H,et al.A detection method for a novel DDoS attack against SDN controllers by vast new low-traffic flows[C]//2016 IEEE International Conference on Communications(ICC).IEEE,2016:1-6. [6] OENA A.A DDoS attack behavior detection method based on deep learning[J].arXiv:1601.04033,2016. [7] MCKEOWN N,ANDERSON T,BALAKRISHNAN H,et al.OpenFlow:enabling innovation in campus networks[J].ACM SIGCOMM Computer Communicatiion Review,2008,38(2):69-74. [8] ZYCZKOWSKI K.Renyiextrapolation of Shannonentropy[J].Physics,2003,10(3):297-310. [9] KE X.Application Research of Hybrid Model of HMM andDNN in L_DDoS Attack Detection[D].Wuhan:South-Central University for Nationalities, 2019. [10] YAN R,ZHENG Q,PENG W.Multi-scaleentropy and Renyicrossentropy based traffic anomaly detection[C]//IEEE.InternationalConferenceon Communication Systems(ICCS).Singapore:IEEE,2008:554-558. [11] CHEN Z Z.Human posture prediction based on gated recurrent neural network[D].Shenyang:Shenyang University of Techno-logy,2020. [12] ZHANG Q Q.Research on SDN-based DDoS Attack Detection Technology[J].Software Guide,2019,18(7):205-208. [13] LIU Z P,HE Y P,WANG W S,et al.DDoS attack detection scheme in SDN environment[J].Journal of Wuhan University(Science Edition),2019(2):71-77. [14] ZHANG L,WANG J S.DDoS attack detection model based on information entropy and DNN in SDN[J].Computer Research and Development,2019(5):5-14. |
| [1] | GUO Xing-chen, YU Yi-biao. Robust Speaker Verification with Spoofing Attack Detection [J]. Computer Science, 2022, 49(6A): 531-536. |
| [2] | LI Peng-yu, LIU Sheng-li, YIN Xiao-kang, LIU Hao-hui. Detection Method of ROP Attack for Cisco IOS [J]. Computer Science, 2022, 49(4): 369-375. |
| [3] | LI Na-na, WANG Yong, ZHOU Lin, ZOU Chun-ming, TIAN Ying-jie, GUO Nai-wang. DDoS Attack Random Forest Detection Method Based on Secondary Screening of Feature Importance [J]. Computer Science, 2021, 48(6A): 464-467. |
| [4] | CHEN Jin-yin,XU Xuan-yan,SU Meng-meng. Research on Network Attack Detection Based on Self-adaptive Immune Computing [J]. Computer Science, 2018, 45(6A): 364-370. |
| [5] | WU Shao-hua, CHENG Shu-bao and HU Yong. Web Attack Detection Method Based on Support Vector Machines [J]. Computer Science, 2015, 42(Z6): 362-364. |
| [6] | LI Chun-yan and WANG Liang-min. Research on Detection Schemes of Sybil Attack in VANETs [J]. Computer Science, 2014, 41(Z11): 235-240. |
| [7] | LI Zhong-wen,WU Cheng-bin and XU Xiao-chen. Research on DDoS Intrusion Detection System Based on Linux High Speed Packet Capturing Platform [J]. Computer Science, 2014, 41(4): 159-162. |
| [8] | WANG Rui. Mechanism of Detecting and Preventing Application Layer DDOS Attack Based on Traceback [J]. Computer Science, 2013, 40(Z11): 175-177. |
| [9] | WANG Liang-min,LI Fei,XIONG Shu-ming,ZHANG Jian-ming. Research on Detection Methods for Insidious Attack of Wireless Sensor Networks [J]. Computer Science, 2011, 38(4): 97-99. |
| [10] | XU Tu HE Da-ke （School of Information Science and Technology, Southwest J iaotong University, Chengdu 610031, China）. [J]. Computer Science, 2008, 35(12): 94-97. |
|
||
Home