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Title: :  NETWORK TRAFFIC ANALYSIS WITH BIG DATA AND DEEP LEARNING TECHNIQUES
PaperId: :  26386
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 11 Issue 2 2025
DUI:    16.0415/IJARIIE-26386
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
D VYSHNAVIKV SUBBA REDDY ENGINEERING COLLEGE
Ch.SRI LAKSHMI PRASSANAKV SUBBA REDDY ENGINEERING COLLEGE
D.SNEHA LATHAKV SUBBA REDDY ENGINEERING COLLEGE
D.HANNAKUMARIKV SUBBA REDDY ENGINEERING COLLEGE
A.DEEPTHIKV SUBBA REDDY ENGINEERING COLLEGE

Abstract

COMPUTER SCIENCE AND ENGINEERING
Next-Generation Networks, Network Traffic Prediction (NTP), Deep Learning (DL), Machine Learning (ML), User Demand Forecasting
From the perspective of telecommunications, next-generation networks, or beyond 5G, will inevitably face the challenge of a growing number of users and devices. Such growth results in high-traffic generation with limited network resources. Thus, the analysis of the traffic and the precise forecast of user demands is essential for developing an intelligent network. In this line, Machine Learning (ML) and especially Deep Learning (DL) models can further benefit from the huge amount of network data. They can act in the background to analyze and predict traffic conditions more accurately than ever and help to optimize the design and management of network services. Recently, a significant amount of research effort has been devoted to this area, greatly advancing network traffic prediction (NTP) abilities. In this article, we bring together NTP and DL-based models and present recent advances in DL for NTP. We provide a detailed explanation of popular approaches and categorize the literature based on these approaches. In addition, as a technical study, we conduct differ- ent data analyses and experiments with several DL-based models for traffic prediction. Finally, discussions regarding the challenges and future directions are provided.

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IJARIIE D VYSHNAVI, Ch.SRI LAKSHMI PRASSANA, D.SNEHA LATHA, D.HANNAKUMARI, and A.DEEPTHI. "NETWORK TRAFFIC ANALYSIS WITH BIG DATA AND DEEP LEARNING TECHNIQUES" International Journal Of Advance Research And Innovative Ideas In Education Volume 11 Issue 2 2025 Page 3188-3194
MLA D VYSHNAVI, Ch.SRI LAKSHMI PRASSANA, D.SNEHA LATHA, D.HANNAKUMARI, and A.DEEPTHI. "NETWORK TRAFFIC ANALYSIS WITH BIG DATA AND DEEP LEARNING TECHNIQUES." International Journal Of Advance Research And Innovative Ideas In Education 11.2(2025) : 3188-3194.
APA D VYSHNAVI, Ch.SRI LAKSHMI PRASSANA, D.SNEHA LATHA, D.HANNAKUMARI, & A.DEEPTHI. (2025). NETWORK TRAFFIC ANALYSIS WITH BIG DATA AND DEEP LEARNING TECHNIQUES. International Journal Of Advance Research And Innovative Ideas In Education, 11(2), 3188-3194.
Chicago D VYSHNAVI, Ch.SRI LAKSHMI PRASSANA, D.SNEHA LATHA, D.HANNAKUMARI, and A.DEEPTHI. "NETWORK TRAFFIC ANALYSIS WITH BIG DATA AND DEEP LEARNING TECHNIQUES." International Journal Of Advance Research And Innovative Ideas In Education 11, no. 2 (2025) : 3188-3194.
Oxford D VYSHNAVI, Ch.SRI LAKSHMI PRASSANA, D.SNEHA LATHA, D.HANNAKUMARI, and A.DEEPTHI. 'NETWORK TRAFFIC ANALYSIS WITH BIG DATA AND DEEP LEARNING TECHNIQUES', International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 2, 2025, p. 3188-3194. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/NETWORK_TRAFFIC_ANALYSIS_WITH_BIG_DATA_AND_DEEP_LEARNING_TECHNIQUES_ijariie26386.pdf (Accessed : ).
Harvard D VYSHNAVI, Ch.SRI LAKSHMI PRASSANA, D.SNEHA LATHA, D.HANNAKUMARI, and A.DEEPTHI. (2025) 'NETWORK TRAFFIC ANALYSIS WITH BIG DATA AND DEEP LEARNING TECHNIQUES', International Journal Of Advance Research And Innovative Ideas In Education, 11(2), pp. 3188-3194IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/NETWORK_TRAFFIC_ANALYSIS_WITH_BIG_DATA_AND_DEEP_LEARNING_TECHNIQUES_ijariie26386.pdf (Accessed : )
IEEE D VYSHNAVI, Ch.SRI LAKSHMI PRASSANA, D.SNEHA LATHA, D.HANNAKUMARI, and A.DEEPTHI, "NETWORK TRAFFIC ANALYSIS WITH BIG DATA AND DEEP LEARNING TECHNIQUES," International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 2, pp. 3188-3194, Mar-App 2025. [Online]. Available: https://ijariie.com/AdminUploadPdf/NETWORK_TRAFFIC_ANALYSIS_WITH_BIG_DATA_AND_DEEP_LEARNING_TECHNIQUES_ijariie26386.pdf [Accessed : ].
Turabian D VYSHNAVI, Ch.SRI LAKSHMI PRASSANA, D.SNEHA LATHA, D.HANNAKUMARI, and A.DEEPTHI. "NETWORK TRAFFIC ANALYSIS WITH BIG DATA AND DEEP LEARNING TECHNIQUES." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 11 number 2 ().
Vancouver D VYSHNAVI, Ch.SRI LAKSHMI PRASSANA, D.SNEHA LATHA, D.HANNAKUMARI, and A.DEEPTHI. NETWORK TRAFFIC ANALYSIS WITH BIG DATA AND DEEP LEARNING TECHNIQUES. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2025 [Cited : ]; 11(2) : 3188-3194. Available from: https://ijariie.com/AdminUploadPdf/NETWORK_TRAFFIC_ANALYSIS_WITH_BIG_DATA_AND_DEEP_LEARNING_TECHNIQUES_ijariie26386.pdf
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