A Review : Distributed Denial-of-Service (DDoS) attack

Authors

  • Dheeraj Kumar Shah  M Tech Scholar, Computer Science & Engineering, Millennium Institute of Technology, Bhopal, India
  • Prof. Vinod Mahor  Assistant Professor, Computer Science & Engineering, Millennium Institute of Technology, Bhopal, India

Keywords:

DDoS attacks, Protocol Attacks

Abstract

A Distributed Denial-of-Service (DDoS) attack is a type of cyber-attack in which a large number of compromised computers are used to flood a targeted system or network with traffic, making it unavailable to users. DDOS attacks have become a serious threat to online services, and detecting and mitigating them has become a major challenge for security professionals. In this review paper, we provide an overview of the different types of DDoS attacks and their characteristics, including volumetric attacks, protocol attacks, and application layer attacks. We discuss the various techniques used by attackers to launch DDoS attacks, including botnets, amplification, and reflection attacks. Review the different defense mechanisms that have been proposed to detect and mitigate DDoS attacks, including network-based and host-based approaches, as well as hybrid approaches. We discuss the limitations of these approaches and highlight some of the open research challenges in this area. In this paper to provide an evaluation of the current state-of-the-art in DDoS attack detection and mitigation and identify some of the future research directions in this field. Our review paper provides a comprehensive overview of the DDoS attack landscape and aims to provide useful insights for researchers, practitioners, and policymakers who are interested in this area.

References

  1. Al-Fayoumi, M., Salah, K., Al-Qawasmeh, M., & Al-Ani, A. (2021). Machine learning-based detection of DDoS attacks in cloud computing environments: A survey. Future Generation Computer Systems, 116, 207-226.
  2. Alharbi, A., Alshammari, R., Alqahtani, A., Alsalih, W., & Albeshri, A. (2020). A survey on detection and mitigation techniques for distributed denial-of-service attacks. Computers & Security, 88, 101670.
  3. Bhardwaj, A., & Singh, G. (2021). A review of DDoS attacks and defense mechanisms. Journal of Ambient Intelligence and Humanized Computing, 12(6), 6181-6197.
  4. Bu, Z., Liao, X., Zhang, Y., Wang, Y., & Xiong, N. (2017). Cloud-based DDoS attack detection and defense system. Journal of Network and Computer Applications, 81, 1-10.
  5. Chen, J., Huang, W., & Liu, A. X. (2019). A review on the mitigation techniques of distributed denial of service attacks in cloud computing. Journal of Cloud Computing, 8(1), 1-15.
  6. Darabseh, A., & Muhaisen, A. (2021). A survey on deep learning-based DDoS attack detection and mitigation. Journal of Ambient Intelligence and Humanized Computing, 12(6), 6275-6292.
  7. Dehghantanha, A., Conti, M., Dargahi, T., & Mahdi, F. H. (2020). A survey on DDoS attacks and their detection techniques. Journal of Ambient Intelligence and Humanized Computing, 11(8), 3179-3200.
  8. Durairaj, M., & Lakshmi, S. (2019). A review on defense mechanisms against distributed denial of service attacks in cloud computing. Cluster Computing, 22(6), 14235-14250.
  9. Eissa, A. R., Ahmad, I., & Loo, J. (2018). A review of current trends and challenges in the detection and mitigation of DDoS attacks. Future Generation Computer Systems, 78, 964-977.
  10. Gharanfoli, M., & Rostami, M. (2021). A survey on machine learning techniques for detection and mitigation of DDoS attacks. Journal of Ambient Intelligence and Humanized Computing, 12(6), 6229-6246.
  11. Grewal, M. S., & Kumar, S. (2017). A review of DDoS attack detection and prevention techniques. International Journal of Network Security & Its Applications, 9(6), 47-62.
  12. Kaur, R., & Singh, K. (2019). A review of DDoS attack and its mitigation techniques. International Journal of Advanced Research in Computer Science, 10(3), 346-352.
  13. Khan, S., Nazir, B., & Kim, J. (2021). A survey on DDoS attacks and their mitigation in cloud computing environments. Journal of Ambient Intelligence and Humanized Computing, 12(6), 6247-6261.
  14. Li, X., Chen, S., & Zhang, T. (2019). A review of the research on DDoS attacks and defense mechanisms in cloud computing. Journal of Ambient Intelligence and Humanized Computing

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Published

2023-04-30

Issue

Section

Research Articles

How to Cite

[1]
Dheeraj Kumar Shah, Prof. Vinod Mahor, " A Review : Distributed Denial-of-Service (DDoS) attack, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 9, Issue 2, pp.86-90, March-April-2023.