TY - JOUR
AU - Zhang, Ruhui
AB - Peer-to-Peer (P2P) plays an important role in the domain of Internet application, such as file sharing and instance communication. However, for the characteristic of bandwidth-intensive, P2P traffic identification is especially important in network management, which has been a hot topic in recent years. Based on the review of shortages of current existed technologies, a k-means algorithm based method was brought forward to identify the P2P traffic. For the reason that K-Means is one of the quickest and simplest clustering methods, it was selected as the core algorithm. In addition, the process of flow-information extraction and the descriptions of selected traffic attribute were also introduced in detail. Since the BT file-sharing traffic mainly runs over TCP, we only extract the flow-information of TCP connections. Finally, the experiments on 3 common used P2P applications, which are BitTorrent, BitSpirit and eMule, demonstrated the validity and efficiency of the method.
TI - Design of a method for encrypted P2P traffic identification using K-means algorithm
JF - Telecommunication Systems
DO - 10.1007/s11235-013-9690-5
DA - 2013-06-20
UR - https://www.deepdyve.com/lp/springer-journals/design-of-a-method-for-encrypted-p2p-traffic-identification-using-k-1PWm0VHrVi
SP - 163
EP - 168
VL - 53
IS - 1
DP - DeepDyve
ER -