International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064




Downloads: 112 | Views: 203

Research Paper | Computer Science & Engineering | India | Volume 4 Issue 5, May 2015 | Rating: 6.4 / 10


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



How to Download this Article?

Type Your Valid Email Address below to Receive the Article PDF Link


Verification Code will appear in 2 Seconds ... Wait

Top