An OpenStack based cloud testbed framework for evaluating HTTP flooding attacks

被引:0
|
作者
A. Dhanapal
P. Nithyanandam
机构
[1] VIT University,School of Computing Science and Engineering
来源
Wireless Networks | 2021年 / 27卷
关键词
DDoS; Cloud testbed framework; HTTP flooding; OpenStack; Cloud computing security; Layer 7 attacks;
D O I
暂无
中图分类号
学科分类号
摘要
The cloud computing has inherent challenges to detect the Hyper Text Transfer Protocol (HTTP) flooding Distributed Denial of Service (DDoS) attack due to its natural characteristics like virtualization, elasticity and multi-tenancy. The usage of cloud computing is user-friendly, but the implementation of the cloud infrastructure such as compute node, networking, cloud storage is very complex in order to achieve its various characteristics. Similarly, detecting the HTTP flooding attack in the cloud is also very complex as it requires an understanding of various potential attack paths in such a complex environment. So, designing the cloud testbed framework to detect the HTTP flooding attacks is a challenging problem to be solved. The cloud testbed framework has to consider several aspects of attack scenarios while accounting the cloud characteristics. This paper reviews the existing DDoS attack detection framework and their gaps and proposes a cloud testbed framework for evaluating the HTTP flooding DDoS attack solution. The proposed framework is implemented using the OpenStack cloud environment. The Fédération Internationale de Football Association (FIFA) World Cup 1998 real-time dataset is used to generate the HTTP flooding attack to the OpenStack cloud testbed framework for the experimentation.
引用
收藏
页码:5491 / 5501
页数:10
相关论文
共 50 条
  • [31] A Semantic Rule-based Detection Scheme against Flooding Attacks on Cloud Environment
    Lin, Chu-Hsing
    Lee, Chen-Yu
    Lai, Shin-Pin
    Lai, Wei-Shen
    INTERNATIONAL JOURNAL OF SECURITY AND ITS APPLICATIONS, 2012, 6 (02): : 341 - 346
  • [32] Analysis of the Impacts of Flooding-Based DDoS Attacks on SDN-Enabled Cloud
    Chahal, Jasmeen Kaur
    Bhandari, Abhinav
    Behal, Sunny
    ADVANCED NETWORK TECHNOLOGIES AND INTELLIGENT COMPUTING, ANTIC 2023, PT II, 2024, 2091 : 192 - 204
  • [33] Using SDN Approach to Secure Cloud Servers Against Flooding Based DDoS Attacks
    Guesmi, Houda
    Saidane, Leila Azouz
    2017 25TH INTERNATIONAL CONFERENCE ON SYSTEMS ENGINEERING (ICSENG), 2017, : 309 - 315
  • [34] Financial Application on an Openstack Based Private Cloud
    Bajpai, Deepak
    Vinayak, Muskan
    Thulasiram, Ruppa K.
    Thulasiraman, Parimala
    INTERNET AND DISTRIBUTED COMPUTING SYSTEMS, 2018, 11226 : 109 - 121
  • [35] An OpenStack-Based Implementation of a Volunteer Cloud
    Distefano, Salvatore
    Merlino, Giovanni
    Puliafito, Antonio
    ADVANCES IN SERVICE-ORIENTED AND CLOUD COMPUTING (ESOCC 2015), 2016, 567 : 389 - 403
  • [36] Detection System of HTTP DDoS Attacks in a Cloud Environment Based on Information Theoretic Entropy and Random Forest
    Idhammad, Mohamed
    Afdel, Karim
    Belouch, Mustapha
    SECURITY AND COMMUNICATION NETWORKS, 2018,
  • [37] An HTTP Flooding detection method based on browser behavior
    Lu, Wei-Zhou
    Yu, Shun-Zheng
    2006 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY, PTS 1 AND 2, PROCEEDINGS, 2006, : 1151 - 1154
  • [38] Evaluating the Effectiveness of a QoS Framework for MANETs in a Real Testbed
    Torres, Alvaro
    Calafate, Carlos T.
    Cano, Juan-Carlos
    Manzoni, Pietro
    AD-HOC, MOBILE, AND WIRELESS NETWORKS, 2012, 7363 : 221 - 234
  • [39] Detecting the Origin of DDoS Attacks in OpenStack Cloud Platform Using Data Mining Techniques
    Borisenko, Konstantin
    Rukavitsyn, Andrey
    Gurtov, Andrei
    Shorov, Andrey
    INTERNET OF THINGS, SMART SPACES, AND NEXT GENERATION NETWORKS AND SYSTEMS, NEW2AN 2016/USMART 2016, 2016, 9870 : 303 - 315
  • [40] A trust-based hypervisor framework for preventing DDoS attacks in cloud
    Vetha, S.
    Vimala Devi, K.
    CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2021, 33 (03):