A Novel Approach for Detection of DoS / DDoS Attack in Network Environment using Hellinger Distance Technique

Abstract

As the popularity of the Internet is increasing, the number of threats is also increasing at a rapid pace. DoS attack is one such threat. DoS attacks deplete the network bandwidth, thereby, preventing the genuine users from accessing the resources. These types of attacks exhaust the computing resources of its victim without advanced warning. The goal of our research is to detect DoS/DDoS attacks effectively using the Hellinger distance technique. We have tested the performance of our approach using real network traces. Our proposed model achieved approx 91.41% Accuracy in DoS detection.We have also analyzed and compared our own dataset with standard NSLKDD dataset and UNSW_NB15 Dataset and it is observed that our proposed model has better accuracy than that of NSLKDD dataset and UNSW_NB15 Dataset which shows an accuracy of 85.29% and 81.42% respectively.

Author Biographies

Sudhir Kumar Pandey, National Institute of Technology, Patna

I am Sudhir Kumar Pandey currently working as an Assistant Professor in Department of Computer Science and Engineering, Lok Nayak Jai Prakash Institute of Technology, Chapra. I am also doing my PhD Degree from NIT, Patna.

Ditipriya Sinha, National Institute of Technology, Patna

Dr. Ditipriya Sinha is working as an Assistant Professor in Department of Computer Science and Engineering, Department of Computer Science and Engineering,

Authors

  • Sudhir Kumar Pandey National Institute of Technology, Patna
  • Ditipriya Sinha National Institute of Technology, Patna

DOI:

https://doi.org/10.31449/inf.v48i20.5692

Downloads

Published

11/22/2024

How to Cite

Pandey, S. K., & Sinha, D. (2024). A Novel Approach for Detection of DoS / DDoS Attack in Network Environment using Hellinger Distance Technique. Informatica, 48(20). https://doi.org/10.31449/inf.v48i20.5692

Issue

Vol. 48 No. 20 (2024): Online-only issue

Section

Online-only

License

Authors retain copyright in their work. By submitting to and publishing with Informatica, authors grant the publisher (Slovene Society Informatika) the non-exclusive right to publish, reproduce, and distribute the article and to identify itself as the original publisher.

All articles are published under the Creative Commons Attribution license CC BY 3.0. Under this license, others may share and adapt the work for any purpose, provided appropriate credit is given and changes (if any) are indicated.

Authors may deposit and share the submitted version, accepted manuscript, and published version, provided the original publication in Informatica is properly cited.