Serious games are potentially powerful tools to influence users' preferences and attitudes. However, privacy concerns related to the misuse of data gathered from the players may emerge in online-gaming interactions. This work proposes a privacy-friendly framework for a gaming platform aimed at reducing energy and water usage, where players are grouped in teams with the challenge of maintaining the aggregated consumption of its members below a given threshold. We discuss a communication protocol which enables the team members to compute their overall consumption without disclosing individual measurements. Moreover, the protocol prevents the gaming platform from learning the consumption data and challenge objectives of the players. Correctness and truthfulness checks are included in the protocol to detect cheaters declaring false consumption data or providing altered game results. The security and performance of the framework are assessed, showing that scalability is ensured thanks to the limited data exchange and lightweight cryptographic operations.

Enabling privacy in a gaming framework for smart electricity and water grids / Rottondi, C.; Verticale, G.. - (2016), pp. 25-30. ((Intervento presentato al convegno International Workshop on Cyber-physical Systems for Smart Water Networks, CySWater 2016 tenutosi a Vienna (Austria) nel 11 April 2016 [10.1109/CySWater.2016.7469059].

Enabling privacy in a gaming framework for smart electricity and water grids

Rottondi C.;
2016

Abstract

Serious games are potentially powerful tools to influence users' preferences and attitudes. However, privacy concerns related to the misuse of data gathered from the players may emerge in online-gaming interactions. This work proposes a privacy-friendly framework for a gaming platform aimed at reducing energy and water usage, where players are grouped in teams with the challenge of maintaining the aggregated consumption of its members below a given threshold. We discuss a communication protocol which enables the team members to compute their overall consumption without disclosing individual measurements. Moreover, the protocol prevents the gaming platform from learning the consumption data and challenge objectives of the players. Correctness and truthfulness checks are included in the protocol to detect cheaters declaring false consumption data or providing altered game results. The security and performance of the framework are assessed, showing that scalability is ensured thanks to the limited data exchange and lightweight cryptographic operations.
978-1-5090-1161-2
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11583/2723322
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