BotNet Prediction in Social Media based on Feature Extraction with Classification using Machine Learning Algorithms

Authors

  • Surendra Singh Choudhary Research Scholar, Civil Engineering, Indian Institute of Technology, Roorkee, India. https://orcid.org/0000-0002-6397-4094
  • S. K. Ghosh Professor, Civil Engineering Indian Institute of Technology, Roorkee, India https://orcid.org/0000-0001-7849-9313
  • A. Rajesh Professor, Department of CSE, Jain(Deemed-to-be University), Bangalore, India
  • Badria Sulaiman Alfurhood Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Saudi Arabia
  • Suresh Limkar Associate Professor, Artificial Intelligence & Data Science, AISSMS Institute of Information Technology, Pune, India
  • Jasmeen Gill Associate Professor, Department of CSE, RIMT University, Mandi, Gobindgarh, Punjab, India https://orcid.org/0000-0002-5894-0551

Keywords:

botnet, Machine Learning, social media users, feature analysis, unusual activities

Abstract

Botnet threat detection has been a focus of continuing study. Botnet identification using flow-based features has been successfully accomplished using machine learning (ML) approaches.Flow-based features' main drawbacks are their significant processing expense and partial capture of network communication patterns.This research propose novel technique in BotNet prediction among the authorized social media users by machine learning algorithm feature analysis. Information has been gathered here from users of social media platforms also it has been filtered based on unusual activities. Then this filtered data features has been extracted and classified using KNN-Xception architecture where the malicious activity. An assessment of the experimental data has been done with regards of detection accuracy, RMSE, malicious activity rate, recall, mAP. The suggested method accomplished detection accuracy of 96%, RMSE of 61%, malicious activity rate of 39%, recall of 59%, mAP of 61%.

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References

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Xception module

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Published

10.02.2023

How to Cite

Singh Choudhary, S. ., Ghosh, S. K. ., Rajesh, A. ., Alfurhood, B. S. ., Limkar, S. ., & Gill, J. . (2023). BotNet Prediction in Social Media based on Feature Extraction with Classification using Machine Learning Algorithms. International Journal of Intelligent Systems and Applications in Engineering, 11(3s), 150 –. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/2553

Issue

Vol. 11 No. 3s (2023)

Section

Research Article

License

Copyright (c) 2023 Surendra Singh Choudhary, S. K. Ghosh, A. Rajesh, Badria Sulaiman Alfurhood, Suresh Limkar, Jasmeen Gill

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