Navigating Digital Harmony through Human Centric Networks and Machine Learning in Network Traffic Classification

Authors

  • Ajit Kumar Shrivastava Department of Computer Science & Engineering, Sagar Institute of Science, Technology & Research, Bhopal, (M.P.) India
  • Arvind Kumar Jain Department of Computer Science & Engineering - Internet of Things, Sagar Institute of Science, Technology & Engineering, Bhopal, (M.P.) India
  • Abhishek Kumar Dubey Department of Computer Science & Engineering - Internet of Things, Sagar Institute of Science, Technology & Engineering, Bhopal, (M.P.) India
  • Himanshu Yadav Department of Computer Science & Engineering, Sagar Institute of Science, Technology & Research, Bhopal, (M.P.) India
  • Namrata Shrivastava Department of Computer Science & Engineering, Sagar Institute of Science, Technology & Research, Bhopal, (M.P.) India
  • Priyanka Bhatele Department of Computer Science & Engineering - Artificial Intelligence and Machine Learning, Sagar Institute of Science, Technology & Engineering, Bhopal, (M.P.) India

Keywords:

Digital Symphony, Human-Centric Networks, Machine Learning Integration, User-Driven Traffic Classification, Adaptive Network Systems, Real-world Interaction Modeling

Abstract

In the intricate realm of modern communication networks, our journey unfolds as a narrative interwoven with human experiences. This paper delves into the essence of network traffic classification, not as a technical pursuit alone but as a voyage into the heart of digital interactions. From the meticulous preprocessing of data to the resonant extraction of user-centric attributes, our exploration transcends algorithms, embracing the human quotient. We embark on an odyssey through diverse machine learning techniques, not merely seeking accuracy but envisioning adaptive systems that intuitively align with the dynamic expectations of users. Our dataset mirrors the vibrant tapestry of real-world scenarios, each thread reflecting the nuances of video streaming, e-commerce transactions, and critical financial interactions. As we present the results, it is not just about precision and recall; it's a symphony of user satisfaction, system responsiveness, and the qualitative aspects that define seamless digital experiences. This discussion is not confined to algorithms but extends into the ethical dimensions, advocating for a digital ethos where trust, security, and equitable access intertwine. Our conclusion is not a terminus but an invitation to a continuing dialogue—a dialogue where technology and humanity dance in synchrony, paving the way for a future where network traffic classification is not just an algorithmic feat but a harmonious integration into the fabric of our interconnected digital lives.

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Published

27-06-2024

Issue

Vol 3 Issue 2 (Apr - Jun 2024)

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Articles

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Copyright (c) 2024 Ajit Kumar Shrivastava, Arvind Kumar Jain, Abhishek Kumar Dubey, Himanshu Yadav, Namrata Shrivastava, Priyanka Bhatele

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How to Cite

[1]
Ajit Kumar Shrivastava et al. 2024. Navigating Digital Harmony through Human Centric Networks and Machine Learning in Network Traffic Classification. International Journal of Innovations in Science, Engineering And Management. 3, 2 (Jun. 2024), 94–99.