Accurate, Scalable In-Network Identification of P2P Traffic Using Application Signatures. Subhabrate sen Oliver Spatscheck Dongmei Wang AT&T Labs-Research. Keywords . Traffic Analysis P2P Application-level Signatures
Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.
Online Application Classification
Access networks as well as enterprise
Networks require the ability to accurately
Identify the different P2P applications and
their associated network traffic.
UDP versus TDP
Packets versus Streams
Location of Signature
Robustness to network effects
Signaling versus Transport
m: the total application traffic identified by the signature
n: the total actual traffic for that application
t: the total amount of non-application traffic identified as application-traffic.
FP= t/n FN= (n-m)/n
1.There was not single instant where the same packet was classified as belonging to more than one of the P2P applications
2.There was no case where different packets in the same direction or in different directions of a TCP connection were markedas different applications.
THANK YOU! Using Application Signatures