Research Paper | Computer Science & Engineering | India | Volume 4 Issue 5, May 2015
Performance Evaluation of Clustering Algorithms for IP Traffic Recognition
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
Similar Articles with Keyword 'Traffic'
Study of Power Management in Adhoc Networks
Anandhi Giri | S. K. Srivatsa 
Packet Analysis with Network Intrusion Detection System
Rashmi Hebbar | Mohan K