TY - GEN
T1 - Sybil-resilient reality-aware social choice
AU - Shahaf, Gal
AU - Shapiro, Ehud
AU - Talmon, Nimrod
N1 - Publisher Copyright:
© 2019 International Joint Conferences on Artificial Intelligence. All rights reserved.
PY - 2019/1/1
Y1 - 2019/1/1
N2 - Sybil attacks, in which fake or duplicate identities (sybils) infiltrate an online community, pose a serious threat to such communities, as they might tilt community-wide decisions in their favor. While the extensive research on sybil identification may help keep the fraction of sybils in such communities low, it cannot however ensure their complete eradication. Thus, our goal is to enhance social choice theory with effective group decision mechanisms for communities with bounded sybil penetration. Inspired by Reality-Aware Social Choice [Shapiro and Talmon, 2018], we use the status quo as the anchor of sybil resilience, characterized by sybil safety - the inability of sybils to change the status quo against the will of the genuine agents, and sybil liveness - the ability of the genuine agents to change the status quo against the will of the sybils. We consider the social choice settings of deciding on a single proposal, on multiple proposals, and on updating a parameter. For each, we present social choice rules that are sybil-safe and, under certain conditions, satisfy sybil-liveness.
AB - Sybil attacks, in which fake or duplicate identities (sybils) infiltrate an online community, pose a serious threat to such communities, as they might tilt community-wide decisions in their favor. While the extensive research on sybil identification may help keep the fraction of sybils in such communities low, it cannot however ensure their complete eradication. Thus, our goal is to enhance social choice theory with effective group decision mechanisms for communities with bounded sybil penetration. Inspired by Reality-Aware Social Choice [Shapiro and Talmon, 2018], we use the status quo as the anchor of sybil resilience, characterized by sybil safety - the inability of sybils to change the status quo against the will of the genuine agents, and sybil liveness - the ability of the genuine agents to change the status quo against the will of the sybils. We consider the social choice settings of deciding on a single proposal, on multiple proposals, and on updating a parameter. For each, we present social choice rules that are sybil-safe and, under certain conditions, satisfy sybil-liveness.
UR - http://www.scopus.com/inward/record.url?scp=85074902028&partnerID=8YFLogxK
U2 - 10.24963/ijcai.2019/81
DO - 10.24963/ijcai.2019/81
M3 - Conference contribution
AN - SCOPUS:85074902028
T3 - IJCAI International Joint Conference on Artificial Intelligence
SP - 572
EP - 579
BT - Proceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019
A2 - Kraus, Sarit
PB - International Joint Conferences on Artificial Intelligence
T2 - 28th International Joint Conference on Artificial Intelligence, IJCAI 2019
Y2 - 10 August 2019 through 16 August 2019
ER -