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Identification of botnet attacks using hybrid machine learning models
conference contribution
posted on 2020-08-13, 00:00 authored by A Pandey, S Thaseen, C Aswani Kumar, Gang LiGang LiBotnet attacks are the new threat in the world of cyber security. In the last few years with the rapid growth of IoT based Technology and networking systems connecting large number of devices, attackers can deploy bots on the network and perform large scale cyber-attacks which can affect anything from millions of personal computers to large scale organizations. Hence, there is a necessity to implement countermeasures to over-come botnet attacks. In this paper, three hybrid models are proposed which are developed by integrating multiple machine learning algorithms like Random Forest (RF), Support Vector Machine (SVM), Naive Bayes (NB), K-Nearest Neighbor (KNN) and Linear Regression (LR). According to our experimental analysis, the RF-SVM has the highest accuracy (85.34%) followed by RF-NB-K-NN (83.36%) and RF-KNN-LR (79.56%).
History
Event
HIS 2019 Hybrid Intelligent Systems. International Conference (19th : 2019 : Bhopal, India)Volume
AISC 1778Series
Advances in Intelligent Systems and ComputingPagination
249 - 257Publisher
Springer ChamLocation
Bhopal, IndiaPlace of publication
Cham, SwitzerlandPublisher DOI
Start date
2019-12-10End date
2019-12-12ISSN
2194-5357eISSN
2194-5365ISBN-13
9783030493356Language
engNotes
Abbreviations IDS - Intrusion Detection System KNN- K-Nearest Neighbor LR - Linear Regression NB - Naïve Bayes RF - Random Forest SVM - Support Vector Machine This paper is an extension of Khan N.M., Madhav C. N., Negi A., Thaseen I.S. (2020) Analysis on Improving the Performance of Machine Learning Models Using Feature Selection Technique. In: Abraham A., Cherukuri A., Melin P., Gandhi N. (eds) Intelligent Systems Design and Applications.Publication classification
E1 Full written paper - refereedCopyright notice
2021, The Editors (if applicable) and The AuthorsEditor/Contributor(s)
Ajith Abraham, Shishir Shandilya, Laura Garcia-Hernandez, Maria VarelaTitle of proceedings
HIS 2019 : Proceedings of the 19th International Conference on Hybrid Intelligent SystemsUsage metrics
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