TY  - CHAP
AU  - Perényi, Marcell Ádám
AU  - Gefferth, András
AU  - Dang Dinh, Trang
AU  - Molnár, Sándor
ED  - Yang, CC
ED  - Chen, WH
ED  - Hsu, WL
ED  - Wu, TC
ED  - Zeng, D
TI  - Skype Traffic Identification
T2  - 50th Annual IEEE Global Telecommunications Conference, GLOBECOM 2007
PB  - IEEE
CY  - New York, New York
SN  - 1424420245
T3  - GLOBECOM - IEEE Global Telecommunications Conference
PY  - 2007
SP  - 399
EP  - 404
PG  - 6
DO  - 10.1109/GLOCOM.2007.81
UR  - https://m2.mtmt.hu/api/publication/2622801
ID  - 2622801
AB  - Skype uses strong encryption to secure communications inside the whole Skype network. Clients choose communication ports randomly. Therefore 
traditional port based or payload based identification of Skype traffic is not feasible. In this paper we introduce a novel flow dynamics based 
identification method to discover Skype host and voice calls as well. Our method uses only packet headers and the extracted flow level information. The whole 
identification process is scripted in Transact-SQL, thus it can be executed automatically. We also present the validation of the algorithm together with some 
analysis of the identification results.
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - T D, Dang
AU  - Perényi, Marcell Ádám
AU  - Gefferth, András
AU  - Molnár, Sándor
TI  - On the Identification and Analysis of P2P Traffic Aggregation
JF  - LECTURE NOTES IN COMPUTER SCIENCE
J2  - LNCS
VL  - 3976
PY  - 2006
SP  - 606
EP  - 617
PG  - 12
SN  - 0302-9743
DO  - 10.1007/11753810_51
UR  - https://m2.mtmt.hu/api/publication/2625093
ID  - 2625093
N1  - WoS:hiba:000238114800051 2020-08-27 04:31 típus nem egyezik
AB  - The main purpose of this paper is twofold. First, we propose a novel identification method to reveal P2P traffic from traffic aggregation. Our method is based on a set of heuristics derived from the robust properties of P2P traffic. We show the high accuracy of the proposed algorithm based on a validation study. Second, several results of a comprehensive traffic analysis, focusing on the differences between P2P and non-P2P traffic, are reported in the paper. Our results show that the unique properties of P2P application traffic seem to fade away during aggregation and characteristics of the traffic will be similar to that of other non-P2P traffic aggregation.
LA  - English
DB  - MTMT
ER  -