PREDICTION APPROACH AGAINST DDOS ATTACK BASED ON MACHINE LEARNING MULTICLASSFIER

Main Article Content

K Venkatesh
K. Gouri
Laxmi Prasanna
M. Tejaswini
M. Pranavi

Abstract

DDoS attacks, also known as distributed denial of service (DDoS) attacks, have emerged as one of the most serious and fastest-growing threats on the Internet. Denial-of-service (DDoS) attacks are an example of cyber-attacks that target a specific system or network in an attempt to render it inaccessible or unusable for a period of time. As a result, improving the detection of diverse types of DDoS cyber threats with better algorithms and higher accuracy while keeping the computational cost under control has become the most significant component of detecting DDoS cyber threats. In order to properly defend the targeted network or system, it is critical to first determine the sort of DDoS assault that has been launched against it. A number of ensemble classification techniques are presented in this paper, which combine the performance of various algorithms. They are then compared to existing Machine Learning Algorithms in terms of their effectiveness in detecting different types of DDoS attacks using accuracy, F1 scores, and ROC curves. The results show high accuracy and good performance.

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

Article Details

How to Cite
Venkatesh, K. ., Gouri, K. ., Prasanna, L. ., Tejaswini, M. ., & Pranavi, M. . (2023). PREDICTION APPROACH AGAINST DDOS ATTACK BASED ON MACHINE LEARNING MULTICLASSFIER. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 14(03), 1201–1205. Retrieved from https://turcomat.org/index.php/turkbilmat/article/view/14300
Section
Research Articles

References

Badve, O. P.,et al. (2017). Taxonomy of DoS and DDoS attacks and desirable defense mechanism in a cloud

computing environment. Neural Computing and Applications, 28(12), 3655-3682.

Gupta, Brij B., et al. "A Comprehensive Survey on DDoS Attacks and Recent Defense Mechanisms."

Handbook of Research on Intrusion Detection Systems. IGI Global, 2020. 186-218.

Https://radar.cloudflare.com/notebooks/ddos-2022-q1

Mishra, Anupama,et al (2020) "Security Threats and Recent Countermeasures in Cloud Computing." Modern

Principles, Practices, and Algorithms for Cloud Security. IGI Global. 145-161.

Mishra, Anupama, and Neena Gupta. "Analysis of Cloud Computing Vulnerability against DDoS." 2019

International Conference on Innovative Sustainable Computational Technologies (CISCT). IEEE, 2019. 1-6.

Mishra, A.,et al. (2021). Defense mechanisms against DDoS attack based on entropy in SDN-cloud using POX

controller. Telecommunication systems, 77(1), 47-62.

Gaurav, A., et al. (2021). Identity-Based Authentication Mechanism for Secure Information Sharing in the

Maritime Transport System. IEEE Transactions on Intelligent Transportation Systems.