TY - GEN
T1 - When you say (DCOP) privacy, what do you mean?
T2 - 4th International Conference on Agents and Artificial Intelligence, ICAART 2012
AU - Grinshpoun, Tal
PY - 2012
Y1 - 2012
N2 - Privacy preservation is a main motivation for using the DCOP model and as such, it has been the subject of comprehensive research. The present paper provides for the first time a categorization of all possible DCOP privacy types. The paper focuses on a specific type, internal constraint privacy, which is highly relevant for models that enable asymmetric payoffs (PEAV-DCOP and ADCOP). An analysis of the run of two algorithms, one for ADCOP and one for PEAV, reveals that both models lose some internal constraint privacy.
AB - Privacy preservation is a main motivation for using the DCOP model and as such, it has been the subject of comprehensive research. The present paper provides for the first time a categorization of all possible DCOP privacy types. The paper focuses on a specific type, internal constraint privacy, which is highly relevant for models that enable asymmetric payoffs (PEAV-DCOP and ADCOP). An analysis of the run of two algorithms, one for ADCOP and one for PEAV, reveals that both models lose some internal constraint privacy.
KW - Constraint privacy
KW - Distributed constraint optimization
UR - https://www.scopus.com/pages/publications/84862123728
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AN - SCOPUS:84862123728
SN - 9789898425959
T3 - ICAART 2012 - Proceedings of the 4th International Conference on Agents and Artificial Intelligence
SP - 380
EP - 386
BT - ICAART 2012 - Proceedings of the 4th International Conference on Agents and Artificial Intelligence
Y2 - 6 February 2012 through 8 February 2012
ER -