Performance Evaluation of Clustering Algorithms for IP Traffic Recognition
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064


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Research Paper | Computer Science & Engineering | India | Volume 4 Issue 5, May 2015

Performance Evaluation of Clustering Algorithms for IP Traffic Recognition

Rupesh Jaiswal, Dr. Shashikant Lokhande, Aashiq Ahmed, Prateek Mahajan

Literature reports the huge work of IP traffic recognition using machine learning (ML) Algorithms. Data is divided into groups of similar objects or Clustering process groups the data instances that have similar characteristics without any previous supervision or guidance. Clustering analysis can be used for identification of IP traffic protocols effectively by measuring the external statistical attributes like packet length and inter arrival time. Our research work shows the analysis using K-means and DBSCAN clustering algorithm. Our approach is evaluated using accuracy and execution time for clustering model.

Keywords: Traffic, recognition, clustering, features

Edition: Volume 4 Issue 5, May 2015

Pages: 2528 - 2532

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How to Cite this Article?

Rupesh Jaiswal, Dr. Shashikant Lokhande, Aashiq Ahmed, Prateek Mahajan, "Performance Evaluation of Clustering Algorithms for IP Traffic Recognition", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=SUB154794, Volume 4 Issue 5, May 2015, 2528 - 2532

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