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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Classification and Prediction Techniques For DDoS Attack Using Machine Learning |
| Authors Name: | Swetha G , Selva Lakshmi B , Priya Dharshini S |
| Unique Id: | IJSDR2312130 |
| Published In: | Volume 8 Issue 12, December-2023 |
| Abstract: | Distributed network attacks are commonly referred to as Distributed Denial of Service (DDoS) attacks. These assaults exploit specific constraints that pertain to every arrangement asset, such as the framework of the authorized organization’s website. This project proposes a machine learning approach for DDoS attack type classification and prediction. The classification algorithms GBC and MLP are employed in this project’s work. StandardScaler is used to pre-process the datasets. StandardScaler removes the mean and scales the data to the unit variance. For the purpose of identifying the performance of the model, this proposed project produced a confusion matrix. The GBC classifier algorithm is utilized in the first classification for both Precision (PR) and Recall (RE). In the second classification, the MLP classifier technique is used to classify both Precision (PR) and Recall (RE). This project is implemented using python software. |
| Keywords: | DDoS, Prediction, Classification, Accuracy, Precision, Machine Learning |
| Cite Article: | "Classification and Prediction Techniques For DDoS Attack Using Machine Learning", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 12, page no.965 - 967, December-2023, Available :http://www.ijsdr.org/papers/IJSDR2312130.pdf |
| Downloads: | 000338720 |
| Publication Details: | Published Paper ID: IJSDR2312130 Registration ID:209706 Published In: Volume 8 Issue 12, December-2023 DOI (Digital Object Identifier): Page No: 965 - 967 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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