Facebook pixel tracking

The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

Contact Info
Website thesai.org
Follow Us
Contact Info
Follow Us
Research Article | Open Access |

Enhancement of KaPoW Plugin to Defend Against DDoS Attacks

Author 1: Farah Samir Barakat Author 2: A .Prof. Amira Kotb
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 7, No. 6 · Published 2016

DOI: https://doi.org/10.14569/IJACSA.2016.070641

Abstract

DDoS attack is one of the hardest attacks to detect and mitigate in the computer world. This paper introduces two quantitative models, which use the client puzzling to detect and thwart application DDoS attacks. We simulated the models to use the probabilistic metrics to penalize the malicious users and prevent them from launching a DDoS attack while offering a stable environment to the normal users and decreasing the number of false positives and false negatives

Keywords

How to Cite this Article

Barakat, F. S., & Kotb, A. .. A. (2016). Enhancement of KaPoW Plugin to Defend Against DDoS Attacks. International Journal of Advanced Computer Science and Applications, 7(6). https://doi.org/10.14569/IJACSA.2016.070641

Barakat, Farah Samir, and A .Prof. Amira Kotb. "Enhancement of KaPoW Plugin to Defend Against DDoS Attacks." International Journal of Advanced Computer Science and Applications, vol. 7, no. 6, 2016, https://doi.org/10.14569/IJACSA.2016.070641.

@article{Barakat2016,
  title     = {Enhancement of KaPoW Plugin to Defend Against DDoS Attacks},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {7},
  number    = {6},
  year      = {2016},
  publisher = {The Science and Information Organization},
  author    = {Farah Samir Barakat and A .Prof. Amira Kotb},
  doi       = {10.14569/IJACSA.2016.070641},
  url       = {https://doi.org/10.14569/IJACSA.2016.070641}
}

Open Access — licensed under a Creative Commons Attribution 4.0 International License. Unrestricted use, distribution, and reproduction in any medium, even commercially, as long as the original work is properly cited.