Adaptive load shedding for windowed stream joins
Buǧra Gedik, Kun-Lung Wu, et al.
CIKM 2005
(A short version of this paper appears in IEEE INFOCOM 2009: http://www.research.ibm.com/people/i/iyengar/INFOCOM2009-kanon.pdf.) Peer-to-peer VoIP (voice over IP) networks, exemplified by Skype [5], are becoming increasingly popular due to their significant cost advantage and richer call forwarding features than traditional public switched telephone networks. One of the most important features of a VoIP network is privacy (for VoIP clients). Unfortunately, most peer-to-peer VoIP networks neither provide personalization nor guarantee a quantifiable privacy level. In this paper, we propose novel flow analysis attacks that demonstrate the vulnerabilities of peer-to-peer VoIP networks to privacy attacks. We then address two important challenges in designing privacy-aware VoIP networks: Can we provide personalized privacy guarantees for VoIP clients that allow them to select privacy requirements on a per-call basis? How to design VoIP protocols to support customizable privacy guarantee? This paper proposes practical solutions to address these challenges using a quantifiable k-anonymity metric and a privacy-aware VoIP route setup and route maintenance protocols. We present detailed experimental evaluation that demonstrates the performance and scalability of our protocol, while meeting customizable privacy guarantees. © 2011 IEEE.
Buǧra Gedik, Kun-Lung Wu, et al.
CIKM 2005
James R. Challenger, Paul Dantzig, et al.
IEEE/ACM Transactions on Networking
Jim Challenger, Arun Iyengar, et al.
IEEE INFOCOM 1991
Mudhakar Srivatsa, Vikas Kawadia, et al.
PerCom Workshops 2012