A Testbed for the Evaluation of Denial of Service Attacks in Software-Defined Networks

被引:2
|
作者
Wright, Andrea P. [1 ]
Ghani, Nasir [1 ]
机构
[1] Univ S Florida, Dept Elect Engn, Tampa, FL 33620 USA
来源
关键词
DoS attacks; GENI; DoS detection; Software-defined Networking; Software-defined Networking security;
D O I
10.1109/southeastcon42311.2019.9020433
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Software defined networking (SDN) is being widely deployed within enterprise and carrier networks to streamline network services provisioning and reduce costs. This approach improves upon traditional networking protocol technologies by decoupling the data and control planes and moving all control provisioning decisions to a centralized SDN controller. Overall, centralized control delivers much more cost-effective and flexible networking setups that can support a wide range of customized user-driven network management applications, e.g., traffic engineering, security, survivability, policy control, etc. However, the separation of the data and control layers in a SDN network introduces many attack points for malicious users to exploit. In particular, large-scale denial of service (DoS) attacks are a major concern here, as they can effectively shut down vital communications between the SDN controller and data plane nodes. Given the increasing sophistication of such attacks, SDN DoS detection and mitigation have become vital concerns. Although various studies have addressed this problem area, there is a further need to develop and test solutions in live realistic network settings. Along these lines, this paper overviews this important area and demonstrates the impact of DoS attacks on SDN elements in the NSF GENI network testbed. This work provides a key baseline and set of input data from which to develop further detection and mitigation strategies.
引用
收藏
页数:6
相关论文
共 50 条
  • [1] Denial of Service Attacks Detection in Software-Defined Wireless Sensor Networks
    Nunez Segura, Gustavo A.
    Skaperas, Sotiris
    Chorti, Arsenia
    Mamatas, Lefteris
    Margi, Cintia Borges
    [J]. 2020 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS WORKSHOPS (ICC WORKSHOPS), 2020,
  • [2] DoSGuard: Mitigating Denial-of-Service Attacks in Software-Defined Networks
    Li, Jishuai
    Tu, Tengfei
    Li, Yongsheng
    Qin, Sujuan
    Shi, Yijie
    Wen, Qiaoyan
    [J]. SENSORS, 2022, 22 (03)
  • [3] Distributed Denial of Service (DDoS) Attacks in Software-defined Networks (SDN)
    Chahal, Jasmeen Kaur
    Kaur, Puninder
    Sharma, Avinash
    [J]. 2021 5TH INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONICS, COMMUNICATION, COMPUTER TECHNOLOGIES AND OPTIMIZATION TECHNIQUES (ICEECCOT), 2021, : 291 - 295
  • [4] On Denial of Service Attacks in Software Defined Networks
    Zhang, Peng
    Wang, Huanzhao
    Hu, Chengchen
    Lin, Chuang
    [J]. IEEE NETWORK, 2016, 30 (06): : 28 - 33
  • [5] BWManager: Mitigating Denial of Service Attacks in Software-Defined Networks Through Bandwidth Prediction
    Wang, Tao
    Guo, Zehua
    Chen, Hongchang
    Liu, Wei
    [J]. IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, 2018, 15 (04): : 1235 - 1248
  • [6] A deep learning technique to detect distributed denial of service attacks in software-defined networks
    Gadallah, Waheed G.
    Ibrahim, Hosny M.
    Omar, Nagwa M.
    [J]. COMPUTERS & SECURITY, 2024, 137
  • [7] Throttle: An efficient approach to mitigate distributed denial of service attacks on software-defined networks
    Olakanmi, Oladayo Olufemi
    Odeyemi, Kehinde Oluwasesan
    [J]. SECURITY AND PRIVACY, 2021, 4 (04)
  • [8] Evaluation of Denial of Service Attacks in Software Defined-Cognitive Radio Networks
    Lebepe, Mampuele
    Velempini, Mthulisi
    [J]. AD HOC NETWORKS AND TOOLS FOR IT, ADHOCNETS 2021, 2022, 428 : 49 - 62
  • [9] Distributed Denial of Service Attacks in Software-Defined Networking with Cloud Computing
    Yan, Qiao
    Yu, F. Richard
    [J]. IEEE COMMUNICATIONS MAGAZINE, 2015, 53 (04) : 52 - 59
  • [10] DAISY: A Detection and Mitigation System Against Denial-of-Service Attacks in Software-Defined Networks
    Imran, Muhammad
    Durad, Muhammad Hanif
    Khan, Farrukh Aslam
    Abbas, Haider
    [J]. IEEE SYSTEMS JOURNAL, 2020, 14 (02): : 1933 - 1944