Paper Info
Title
PathCache: A Path Prediction Toolkit.
Abstract
Path prediction on the Internet has been a topic of research in the networking community for close to a decade. Applications of path prediction solutions have ranged from optimizing selection of peers in peer- to-peer networks to improving and debugging CDN predictions. Recently, revelations of traffic correlation and surveillance on the Internet have raised the topic of path prediction in the context of network security. Specifically, predicting network paths can allow us to identify and avoid given organizations on network paths (e.g., to avoid traffic correlation attacks in Tor) or to infer the impact of hijacks and interceptions when direct measurements are not available. In this poster we propose the design and implementation of PathCache which aims to reuse measurement data to estimate AS level paths on the Internet. Unlike similar systems, PathCache does not assume that routing on the Internet is destination based. Instead, we develop an algorithm to compute confidence in paths between ASes. These multiple paths ranked by their confidence values are returned to the user.
Year
DOI
Venue
2016
10.1145/2934872.2959053
SIGCOMM
Field
DocType
Citations 
Ranking,Computer science,Reuse,Internet measurement,Network security,Computer network,Correlation attack,Distributed computing,Debugging,The Internet
Conference
2
PageRank 
References 
Authors
0.37
3
2
Name
Order
Citations
PageRank
Rachee Singh1234.54
Phillipa Gill21504114.56