Future of DDoS Attacks Mitigation in Software Defined Networks

被引:0
|
作者
Vizvary, Martin [1 ]
Vykopal, Jan [1 ]
机构
[1] Masaryk Univ, Inst Comp Sci, Brno, Czech Republic
关键词
Software Defined Networking; SDN; Distributed Denial of Service Attack; DDoS; OpenFlow; security; detection; mitigation;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Traditional networking is being progressively replaced by Software Defined Networking (SDN). It is a new promising approach to designing, building and managing networks. In comparison with traditional routed networks, SDN enables programmable and dynamic networks. Although it promises more flexible network management, one should be aware of current and upcoming security threats accompanied with its deployment. Our goal is to analyze SDN accompanied with OpenFlow protocol from the perspective of Distributed Denial of Service attacks (DDoS). In this paper, we outline our research questions related to an analysis of current and new possibilities of realization, detection and mitigation of DDoS attacks in this environment.
引用
收藏
页码:123 / 127
页数:5
相关论文
共 50 条
  • [31] Addressing Spoofed DDoS Attacks in Software-defined Networking
    Swami, Rochak
    Dave, Mayank
    Ranga, Virender
    2021 6TH INTERNATIONAL CONFERENCE FOR CONVERGENCE IN TECHNOLOGY (I2CT), 2021,
  • [32] Lightweight solutions to counter DDoS attacks in software defined networking
    Conti, Mauro
    Lal, Chhagan
    Mohammadi, Reza
    Rawat, Umashankar
    WIRELESS NETWORKS, 2019, 25 (05) : 2751 - 2768
  • [33] Investigation of application layer DDoS attacks in legacy and software-defined networks: A comprehensive review
    Kaur, Sarabjeet
    Sandhu, Amanpreet Kaur
    Bhandari, Abhinav
    INTERNATIONAL JOURNAL OF INFORMATION SECURITY, 2023, 22 (06) : 1949 - 1988
  • [34] Lightweight solutions to counter DDoS attacks in software defined networking
    Mauro Conti
    Chhagan Lal
    Reza Mohammadi
    Umashankar Rawat
    Wireless Networks, 2019, 25 : 2751 - 2768
  • [35] Designing Ensemble Deep Learning Intrusion Detection System for DDoS attacks in Software Defined Networks
    Mbasuva, Uakomba
    Zodi, Guy-Alain Lusilao
    PROCEEDINGS OF THE 2022 16TH INTERNATIONAL CONFERENCE ON UBIQUITOUS INFORMATION MANAGEMENT AND COMMUNICATION (IMCOM 2022), 2022,
  • [36] Investigation of application layer DDoS attacks in legacy and software-defined networks: A comprehensive review
    Sarabjeet Kaur
    Amanpreet Kaur Sandhu
    Abhinav Bhandari
    International Journal of Information Security, 2023, 22 : 1949 - 1988
  • [37] Analyzing effective mitigation of DDoS attack with software defined networking
    Dayal, Neelam
    Srivastava, Shashank
    COMPUTERS & SECURITY, 2023, 130
  • [38] Deep Reinforcement Learning based Smart Mitigation of DDoS Flooding in Software-Defined Networks
    Liu, Yandong
    Dong, Mianxiong
    Otat, Kaoru
    Li, Jianhua
    Wu, Jun
    2018 IEEE 23RD INTERNATIONAL WORKSHOP ON COMPUTER AIDED MODELING AND DESIGN OF COMMUNICATION LINKS AND NETWORKS (CAMAD), 2018, : 80 - 85
  • [39] Flooding DDoS Mitigation and Traffic Management with Software Defined Networking
    Kalliola, Aapo
    Lee, Kiryong
    Lee, Heejo
    Aura, Tuomas
    2015 IEEE 4TH INTERNATIONAL CONFERENCE ON CLOUD NETWORKING (CLOUDNET), 2015, : 248 - 254
  • [40] An Energy-Efficient Topology Design and DDoS Attacks Mitigation for Green Software-Defined Satellite Network
    Tu, Zhe
    Zhou, Huachun
    Li, Kun
    Li, Man
    Tian, Aleteng
    IEEE ACCESS, 2020, 8 : 211434 - 211450