Distributive Denial of Service Attack Detection Using Cat: Boost Algorithm in Machine Learning
Parvathi M., Dharanidharan A., Kirubasankar K. R., Mohamaad Ishaaq S., Navaneetha Krishnan S.
2025
Abstract
DDOS (Distributive denial of service) attacks is worked by overloading the server with multiple connections at the same time, making the site unable to take any more requests which in turn causes overloading of the server, triggering response time error's. This work is done on ubuntu operating system with tools such as mininet installed inside virtual machine and controller which helps by acting as a framework of the virtual machine which specializes in detection of the attack. The current existing system is done on the algorithm named as "random forest" (K. G. Maheswari, et.al., 2023). which utilities the concept of decision trees whereas in this project the current algorithm is replaced with a different one to operate which is "cat-boost". It works on the principles of categorizing the data's by assigning values of the same class together.
DownloadPaper Citation
in Harvard Style
M. P., A. D., R. K., S. M. and S. N. (2025). Distributive Denial of Service Attack Detection Using Cat: Boost Algorithm in Machine Learning. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 496-503. DOI: 10.5220/0013900600004919
in Bibtex Style
@conference{icrdicct`2525,
author={Parvathi M. and Dharanidharan A. and Kirubasankar R. and Mohamaad S. and Navaneetha S.},
title={Distributive Denial of Service Attack Detection Using Cat: Boost Algorithm in Machine Learning},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={496-503},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013900600004919},
isbn={978-989-758-777-1},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - Distributive Denial of Service Attack Detection Using Cat: Boost Algorithm in Machine Learning
SN - 978-989-758-777-1
AU - M. P.
AU - A. D.
AU - R. K.
AU - S. M.
AU - S. N.
PY - 2025
SP - 496
EP - 503
DO - 10.5220/0013900600004919
PB - SciTePress