TY - GEN
T1 - Blinder - Scalable, Robust Anonymous Committed Broadcast
AU - Abraham, Ittai
AU - Pinkas, Benny
AU - Yanai, Avishay
N1 - Publisher Copyright: © 2020 ACM.
PY - 2020/10/30
Y1 - 2020/10/30
N2 - Anonymous Committed Broadcast is a functionality that extends DC-nets and allows a set of clients to privately commit messages to set of servers, which can then simultaneously open all committed messages in a random ordering. Anonymity holds since no one can learn the ordering or the content of the client's committed message. We present Blinder, the first system that provides a scalable and fully robust solution for anonymous committed broadcast. Blinder maintains both properties of security (anonymity) and robustness (aka. 'guaranteed output delivery' or 'availability') in the face of a global active (malicious) adversary. Moreover, Blinder is censorship resistant, that is, an honest client cannot be blocked from participating. Blinder obtains its security and scalability by carefully combining classical and state-of-the-art techniques from the fields of anonymous communication and secure multiparty computation (MPC). Relying on MPC for such a system is beneficial since it naturally allows the parties (servers) to enforce some properties on accepted messages prior their publication. A GPU based implementation of Blinder with 5 servers, which accepts 1 million clients, incurs a latency of less than 8 minutes; faster by a factor of 100 than the 3-servers Riposte protocol (S&P '15), which is not robust and not censorship resistant; we get an even larger factor when comparing to AsynchroMix and PowerMix (CCS '19), which are the only ones that guarantee fairness (or robustness in the online phase).
AB - Anonymous Committed Broadcast is a functionality that extends DC-nets and allows a set of clients to privately commit messages to set of servers, which can then simultaneously open all committed messages in a random ordering. Anonymity holds since no one can learn the ordering or the content of the client's committed message. We present Blinder, the first system that provides a scalable and fully robust solution for anonymous committed broadcast. Blinder maintains both properties of security (anonymity) and robustness (aka. 'guaranteed output delivery' or 'availability') in the face of a global active (malicious) adversary. Moreover, Blinder is censorship resistant, that is, an honest client cannot be blocked from participating. Blinder obtains its security and scalability by carefully combining classical and state-of-the-art techniques from the fields of anonymous communication and secure multiparty computation (MPC). Relying on MPC for such a system is beneficial since it naturally allows the parties (servers) to enforce some properties on accepted messages prior their publication. A GPU based implementation of Blinder with 5 servers, which accepts 1 million clients, incurs a latency of less than 8 minutes; faster by a factor of 100 than the 3-servers Riposte protocol (S&P '15), which is not robust and not censorship resistant; we get an even larger factor when comparing to AsynchroMix and PowerMix (CCS '19), which are the only ones that guarantee fairness (or robustness in the online phase).
KW - anonymous broadcast
KW - robustness
KW - secure multiparty computation
UR - http://www.scopus.com/inward/record.url?scp=85096172908&partnerID=8YFLogxK
U2 - https://doi.org/10.1145/3372297.3417261
DO - https://doi.org/10.1145/3372297.3417261
M3 - منشور من مؤتمر
T3 - Proceedings of the ACM Conference on Computer and Communications Security
SP - 1233
EP - 1252
BT - CCS 2020 - Proceedings of the 2020 ACM SIGSAC Conference on Computer and Communications Security
T2 - 27th ACM SIGSAC Conference on Computer and Communications Security, CCS 2020
Y2 - 9 November 2020 through 13 November 2020
ER -