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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | NETWORK TRAFFIC ANALYZER |
| Authors Name: | V.Soumya , B.Sneha Durga , Tavanam.Venkata Rao |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_192120
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| Published Paper Id: | IJNRD2304560 |
| Published In: | Volume 8 Issue 4, April-2023 |
| DOI: | |
| Abstract: | Due to the quick development of numerous network applications and internet services,the rapid expansion of Internet traffic has become a significant problem.The difficulty for Internet Service Providers(ISPs) is to maintain a certain Quality of Service while optimizing the performance of their neworks in the face of consistently rising IP traffic.Today,it is impossible to imagine living without the internet.In order to spot abnormalities,improve performance and keep a look out for assaults,network availability and activity must be closely monitored.It gathers both historical and real-time data on network activity.It is crucial for keeping track of network availability.Many research have recently been drawn to the analysis and forecasting of network traffic because they have applications across a broad spectrum of industries.To pinpoint numerous issues with current computer network applications,several experiments are carried out and then reported.Network traffic analysis and prediction are proactive measures to guarantee secure,dependable and high-quality network communication.For evaluating network traffic, a variety of methods,from data mining methods to methods based on neural networks,are developed and tested.Several similar linear and non-linear methods for forecasting network traffic are proposed.Several fascinating combination of network analysis and prediction approaches are employed to get effective and profitable results. |
| Keywords: | Internet Service Providers,Quality of Service,IP traffic. |
| Cite Article: | "NETWORK TRAFFIC ANALYZER", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 4, page no.f526-f530, April-2023, Available :http://www.ijnrd.org/papers/IJNRD2304560.pdf |
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| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 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:IJNRD2304560 Registration ID: 192120 Published In: Volume 8 Issue 4, April-2023 DOI (Digital Object Identifier): Page No: f526-f530 Country: -, -, -- Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2304560 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2304560 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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