@article{Ranawat_2026, title={DoS Attack Detection System Using Machine Learning}, volume={3}, ISSN={3048-5088}, url={http://dx.doi.org/10.63844/ijaitr.v3.i1.2026.374-382}, DOI={10.63844/ijaitr.v3.i1.2026.374-382}, number={1}, journal={International Journal of Advancement and Innovation in Technology and Research}, publisher={Acropolis Institute of Technology and Research}, author={Ranawat, Radhika and Pawar, Yuvraj and Gupta, Sonal and Soni, Niharika and Kate, Vandana and Sharma, Vinayak}, year={2026}, month=jan, pages={374–382} }
Ranawat, R., Pawar, Y., Gupta, S., Soni, N., Kate, V., & Sharma, V. (2026). DoS Attack Detection System Using Machine Learning. International Journal of Advancement and Innovation in Technology and Research, 3(1), 374–382. https://doi.org/10.63844/ijaitr.v3.i1.2026.374-382
[1]R. Ranawat, Y. Pawar, S. Gupta, N. Soni, V. Kate, and V. Sharma, “DoS Attack Detection System Using Machine Learning,” International Journal of Advancement and Innovation in Technology and Research, vol. 3, no. 1, pp. 374–382, Jan. 2026, doi: 10.63844/ijaitr.v3.i1.2026.374-382.
Ranawat, Radhika, et al. “DoS Attack Detection System Using Machine Learning.” International Journal of Advancement and Innovation in Technology and Research, vol. 3, no. 1, Jan. 2026, pp. 374–82. Crossref, https://doi.org/10.63844/ijaitr.v3.i1.2026.374-382.
1.Ranawat R, Pawar Y, Gupta S, Soni N, Kate V, Sharma V. DoS Attack Detection System Using Machine Learning. International Journal of Advancement and Innovation in Technology and Research [Internet]. 2026 Jan 1;3(1):374–82. Available from: http://dx.doi.org/10.63844/ijaitr.v3.i1.2026.374-382
Ranawat, Radhika, Yuvraj Pawar, Sonal Gupta, Niharika Soni, Vandana Kate, and Vinayak Sharma. “DoS Attack Detection System Using Machine Learning.” International Journal of Advancement and Innovation in Technology and Research 3, no. 1 (January 1, 2026): 374–82. https://doi.org/10.63844/ijaitr.v3.i1.2026.374-382.
Ranawat, R, Pawar, Y, Gupta, S, Soni, N, Kate, V & Sharma, V 2026, ‘DoS Attack Detection System Using Machine Learning’, International Journal of Advancement and Innovation in Technology and Research, vol. 3, no. 1, Acropolis Institute of Technology and Research, pp. 374–382, viewed http://dx.doi.org/10.63844/ijaitr.v3.i1.2026.374-382.