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Game theoretic analysis of privacy-aware Advanced Metering Infrastructure

机译:隐私感知高级计量基础设施的博弈论分析

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Demand response systems seek to flatten the demand for electricity by providing real-time pricing to consumers to motivate avoidance of power-intensive tasks when rates are high. Advanced Metering Infrastructure (AMI) has been developed to facilitate this process, allowing for billing that applies fine-grained prices to fine-grained consumption data. But AMI also presents a unique privacy risk to consumers - fine-grained consumption data reveals a great deal about the behaviour, beliefs, and preferences of consumers. Such information is of interest to third parties, further exacerbating the privacy risk. This suggests a need for AMI to be developed from a privacy-aware perspective. Adopting a game-theoretic model, we consider utilities that offer both privacy-aware and non-privacy-aware AMI. A non-cooperative game is developed in which a representative consumer strategizes against the utility. The regulatory measures required for the desired privacy-facilitating Nash equilibrium of the game are discussed, and recommendations for policymakers are presented. In particular, it is found that a combination of regulation and consumer awareness must overcome the financial benefit arising from the sale of consumption information to third parties.
机译:需求响应系统试图通过向消费者提供实时定价来平抑电力需求,从而在费率较高时避免执行耗电的任务。已经开发了高级计量基础结构(AMI)来简化此过程,从而允许将细粒度价格应用于细粒度消耗数据的计费。但是,AMI也给消费者带来了独特的隐私风险-细粒度的消费数据揭示了有关消费者的行为,信念和偏好的大量信息。这些信息是第三方所感兴趣的,进一步加剧了隐私风险。这表明从隐私感知的角度出发,需要开发AMI。我们采用游戏理论模型,考虑同时提供隐私感知和非隐私感知AMI的实用程序。开发了一种非合作游戏,其中有代表性的消费者针对该实用程序制定了策略。讨论了游戏所需的促进隐私的纳什均衡所需的监管措施,并为决策者提供了建议。特别是,发现监管和消费者意识的结合必须克服因将消费信息出售给第三方而产生的经济利益。

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