International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Since Year 2012 | Open Access | Double Blind Reviewed

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 [2] | Dr. Shashikant Lokhande [2] | Aashiq Ahmed | Prateek Mahajan


Abstract: 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), Volume 4 Issue 5, May 2015, pp. 2528-2532, https://www.ijsr.net/get_abstract.php?paper_id=SUB154794



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