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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
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| Paper Title: | Mitigation from DDoS attack in Cloud Computing using Bayesian Hyperparameter Optimization based Machine Learning approach |
| Authors Name: | Munish Saran , Rajan Kumar Yadav , Upendra Nath Tripathi |
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IJRTI_184762
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| Published Paper Id: | IJRTI2211108 |
| Published In: | Volume 7 Issue 11, November-2022 |
| DOI: | |
| Abstract: | Cloud Computing is the revolutionary technology of the current era. It allows the end user to consume the cloud based services from anywhere and at anytime over the internet. This technology is surrounded by several attacks, threats and risks. One among the several attacks is Distributed denial-of–service (DDoS), which is often reported by cloud service providers. DDoS has severe effects from the performance degradation of the application to complete shutdown of the service. In this paper we proposed a secure defence mechanism based on machine learning for defence against DDoS attack. Our proposed approach makes use of four machine learning algorithms such as Random Forest, Decision Tree, K-Nearest-Neighbor and Support Vector Machine along with optimizing some of the crucial hyperparameters for these machine learning algorithms that can effectively increase the accuracy of our proposed system. The hyperparameter optimization is performed by Bayesian Optimization technique in our approach, which converges to the optimal set of hyperparameters rapidly in contrast with other available hyperparameter tuning techniques such as GridSearchCV and RandomSearchCV. The performance results were compared and it was observed that our proposed approach reduces the processing time, increases the classification accuracy, increases the true positive rate at the same time reduces the false positive rate. |
| Keywords: | Cloud Computing, Decision Tree, K-Nearest-Neighbor, Support Vector Machine, Hyperparameter, Bayesian Optimization, DDoS, NSL-KDD. |
| Cite Article: | "Mitigation from DDoS attack in Cloud Computing using Bayesian Hyperparameter Optimization based Machine Learning approach", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 11, page no.766 - 772, November-2022, Available :http://www.ijrti.org/papers/IJRTI2211108.pdf |
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| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2211108
Registration ID:184762
Published In: Volume 7 Issue 11, November-2022
DOI (Digital Object Identifier):
Page No: 766 - 772 Country: -, -, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2211108 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2211108 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
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