Vuvuzela: scalable private messaging resistant to traffic analysis
Private messaging over the Internet has proven challenging to implement, because even if message data is encrypted, it is difficult to hide metadata about who is communicating in the face of traffic analysis. Systems that offer strong privacy guarantees, such as Dissent [36], scale to only several t...
Main Authors: | van den Hooff, Jelle, Lazar, David, Zeldovich, Nickolai, Zaharia, Matei A. |
---|---|
Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
Format: | Article |
Language: | en_US |
Published: |
Association for Computing Machinery (ACM)
2015
|
Online Access: | http://hdl.handle.net/1721.1/100279 https://orcid.org/0000-0002-7547-7204 https://orcid.org/0000-0003-2981-5636 https://orcid.org/0000-0003-0238-2703 https://orcid.org/0000-0003-3438-4711 |
Similar Items
-
Vuvuzela : scalable private messaging that hides metadata
by: Lazar, David, Ph.D. Massachusetts Institute of Technology
Published: (2016) -
VerSum: Verifiable Computations over Large Public Logs
by: van den Hooff, Jelle, et al.
Published: (2015) -
Fast bug finding in lock-free data structures with CB-DPOR
by: Van den Hooff, Jelle (Jelle August)
Published: (2014) -
Alpenhorn: Bootstrapping Secure Communication without Leaking Metadata
by: Lazar, David, et al.
Published: (2016) -
Splinter: Practical Private Queries on Public Data
by: Wang, Frank, et al.
Published: (2021)