IDEAS home Printed from https://ideas.repec.org/a/spr/telsys/v77y2021i1d10.1007_s11235-020-00747-w.html
   My bibliography  Save this article

Defense mechanisms against DDoS attack based on entropy in SDN-cloud using POX controller

Author

Listed:
  • Anupama Mishra

    (Gurukul Kangri Vishwavidyalaya)

  • Neena Gupta

    (Gurukul Kangri Vishwavidyalaya)

  • B. B. Gupta

    (Niational Institute of Technology Kurukshetra
    Asia University
    Macquarie University)

Abstract

Software defined networks (SDNs) in a combination of cloud computing are the best amalgamation for the researchers and industry. Though, these unique networking paradigms have been accepted world widely, they are hampered by various security threats. Among all the threats, the attack, Distributed Denial-of-Service (DDoS) is the most severe attack into the SDN-Cloud. In spite of, so many developments in tools and technology, it is still hard to detect the DDoS attack. Therefore, till now there is no efficient solution to cope up with this problem. In our research work, we proposed a defensive mechanism for DDoS attacks that is based on variations in entropy between DDoS attack and a normal traffic with a low computational overhead. We also proposed a mitigation technique to reduce the severity of the attack. On comparing with the existing DDoS mechanisms, our proposed method holds three advantages as (i) detection rate is high, (ii) false positive rate is low and (iii) the mitigation ability. Simulations are carried out in mininet emulator with POX controller and open flow switches at different attack strength. Our proposed mechanism has achieved a high detection rate with 98.2% over variable attack rate along with 0.04% false positive rate.

Suggested Citation

  • Anupama Mishra & Neena Gupta & B. B. Gupta, 2021. "Defense mechanisms against DDoS attack based on entropy in SDN-cloud using POX controller," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 77(1), pages 47-62, May.
  • Handle: RePEc:spr:telsys:v:77:y:2021:i:1:d:10.1007_s11235-020-00747-w
    DOI: 10.1007/s11235-020-00747-w
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11235-020-00747-w
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11235-020-00747-w?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Shweta Kaushik & Charu Gandhi, 2019. "Ensure Hierarchal Identity Based Data Security in Cloud Environment," International Journal of Cloud Applications and Computing (IJCAC), IGI Global, vol. 9(4), pages 21-36, October.
    2. Oladayo Olufemi Olakanmi & Adedamola Dada, 2019. "An Efficient Privacy-preserving Approach for Secure Verifiable Outsourced Computing on Untrusted Platforms," International Journal of Cloud Applications and Computing (IJCAC), IGI Global, vol. 9(2), pages 79-98, April.
    3. Ganeshayya Ishwarayya Shidaganti & Amogh Shreedhar Inamdar & Sindhuja V. Rai & Anagha M. Rajeev, 2020. "SCEF: A Model for Prevention of DDoS Attacks From the Cloud," International Journal of Cloud Applications and Computing (IJCAC), IGI Global, vol. 10(3), pages 67-80, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Gupta, Brij B. & Gaurav, Akshat & Panigrahi, Prabin Kumar & Arya, Varsha, 2023. "Analysis of artificial intelligence-based technologies and approaches on sustainable entrepreneurship," Technological Forecasting and Social Change, Elsevier, vol. 186(PB).
    2. Anshuman Singh & Brij B. Gupta, 2022. "Distributed Denial-of-Service (DDoS) Attacks and Defense Mechanisms in Various Web-Enabled Computing Platforms: Issues, Challenges, and Future Research Directions," International Journal on Semantic Web and Information Systems (IJSWIS), IGI Global, vol. 18(1), pages 1-43, January.
    3. Gaurav, Akshat & Gupta, Brij B. & Panigrahi, Prabin Kumar, 2022. "A novel approach for DDoS attacks detection in COVID-19 scenario for small entrepreneurs," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
    4. Anupama Mishra & Neena Gupta & Brij B. Gupta, 2023. "Defensive mechanism against DDoS attack based on feature selection and multi-classifier algorithms," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 82(2), pages 229-244, February.
    5. Zhang Ling & Zhang Jia Hao, 2022. "An Intrusion Detection System Based on Normalized Mutual Information Antibodies Feature Selection and Adaptive Quantum Artificial Immune System," International Journal on Semantic Web and Information Systems (IJSWIS), IGI Global, vol. 18(1), pages 1-25, January.
    6. Akber Ali Khan & Vinod Kumar & Musheer Ahmad & B. B. Gupta & Musheer Ahmad & Ahmed A. Abd El-Latif, 2021. "A secure and efficient key agreement framework for critical energy infrastructure using mobile device," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 78(4), pages 539-557, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Islam, Md Rafiqul & Liu, Shaowu & Biddle, Rhys & Razzak, Imran & Wang, Xianzhi & Tilocca, Peter & Xu, Guandong, 2021. "Discovering dynamic adverse behavior of policyholders in the life insurance industry," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    2. Kumar, Nikhil & Poonia, Vikas & Gupta, B.B. & Goyal, Manish Kumar, 2021. "A novel framework for risk assessment and resilience of critical infrastructure towards climate change," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
    3. Hinge, Gilbert & Surampalli, Rao Y. & Goyal, Manish Kumar & Gupta, Brij B. & Chang, Xiaojun, 2021. "Soil carbon and its associate resilience using big data analytics: For food Security and environmental management," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    4. Pang, Sulin & Xia, Lianhu, 2021. "Automatic classification and identification algorithms for single-environment risk and their application in social changes," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    5. Jin, Xin & Zuo, Xiangbin & Dong, Xiaoli & Dong, YanJiao & Ding, Huanhuan, 2021. "Analysis of the policy guarantee mechanism of rural infrastructure based on deep learning," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    6. Gaurav, Akshat & Gupta, Brij B. & Panigrahi, Prabin Kumar, 2022. "A novel approach for DDoS attacks detection in COVID-19 scenario for small entrepreneurs," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
    7. Chaudhary, Pooja & Gupta, Brij B. & Chang, Xiaojun & Nedjah, Nadia & Chui, Kwok Tai, 2021. "Enhancing big data security through integrating XSS scanner into fog nodes for SMEs gain," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
    8. Huang, Zhi Meng & Liang, Yan Min, 2020. "Digital protection and inheritance of ancient villages in southwest minority areas under the strategy of rural revitalization," Technological Forecasting and Social Change, Elsevier, vol. 160(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:telsys:v:77:y:2021:i:1:d:10.1007_s11235-020-00747-w. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.