[1]Saman Taghavi Zargar, James Joshi ,David Tipper.A Survey of Defense Mechanisms Against Distributed Denial of Service (DDoS) Flooding Attacks[J].IEEE Communications Surveys & Tutorials,2013,15(4):2046-2069
[2] Meejoung Kim.Supervised learning-based DDoS attacks detection[J].ETRI Journal,2019,41(5):560-573
[3] Soodeh Hosseini,Mehrdad Azizi.The hybrid technique for DDoS detection with supervised learning algorithms[J].Computer Networks,2019,158(20):35-45
[4]康松林,樊晓平,刘楚楚,李宏,安隆熙.半监督流形正则化算法检测应用层DDoS攻击研究[J].中南大学学报(自然科学版),2014,45(12):4232-4238.
[5]张晨,唐湘滟,程杰仁,董哲,李俊麒.基于多核学习的自适应DDoS攻击检测方法[J].计算机工程与科学,2019,41(08):1381-1389.
[6] Xi Qin , Tongge Xu , Chao Wang.DDoS Attack Detection Using Flow Entropy and Clustering Technique[C].International Conference on Computational Intelligence and Security (CIS).Shenzhen, China:IEEE,2015.19-20
[7] Jisa David,Ciza Thomas.Efficient DDoS flood attack detection using dynamic thresholding on flow-based network traffic[J].Computers & Security,2019,82:284-295
[8] XuyangJing,ZhengYan,XueqinJiang,et al.Network traffic fusion and analysis against DDoS flooding attacks with a novel reversible sketch[J].Information Fusion,2019,51:100-113
[9]胡航宇,翟学萌,胡光岷.基于流知识图谱的通信网络流连接行为分析[J/OL].计算机工程:1-9[2019-10-24].http://kns.cnki.net/kcms/detail/31.1289.TP.20181130.1403.005.html.
[10]李传煌,孙正君,袁小雍,李晓林,龚梁,王伟明.基于深度学习的实时DDoS攻击检测[J].电信科学,2017,33(07):53-65.
[11]Ahmad Riza’ain Yusof,Nur Izura Udzir,Ali Selamat.An Evaluation on KNN-SVM Algorithm for Detection and Prediction of DDoS Attack[C].Trends in Applied Knowledge-Based Systems and Data Science(IEA/AIE).Germany:Publisher Name,2016.95-102
[12]Y.H.Gu,Kaiyue Li,Zhenyang Guo,Yongfei Wang.Semi-supervised K-means DDoS Detection Method Using Hybird Feature Selection Algorithm[J].IEEE Access,2019,7:64351-64365
[13]刘峤,李杨,段宏,刘瑶,秦志光.知识图谱构建技术综述[J].计算机研究与发展,2016,53(03):582-600.
[14]王通,艾中良,张先国.基于深度学习的威胁情报知识图谱构建技术[J].计算机与现代化,2018,0(12):21-.
[15]高见,王安.基于本体的网络威胁情报分析技术研究[J/OL].计算机工程与应用:1-9[2019-10-17].http://kns.cnki.net/kcms/detail/11.2127.tp.20190613.0917.004.html.
[16]杨可心,桑永胜.基于BP神经网络的DDoS攻击检测研究[J].四川大学学报(自然科学版),2017,54(01):71-75.
|