When privacy meets economics: Enabling differentially-private battery-supported meter reporting in smart grid
When privacy meets economics: Enabling differentially-private battery-supported meter reporting in smart grid
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DOI：
10.1109/iwqos.2017.7969167
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发表时间：
2017-06
期刊：
影响因子：
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通讯作者：
Zijian Zhang;Wenqiang Cao;Zhan Qin;Liehuang Zhu;Zhengtao Yu;K. Ren
中科院分区：
文献类型：
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作者：
Zijian Zhang;Wenqiang Cao;Zhan Qin;Liehuang Zhu;Zhengtao Yu;K. Ren
数以百万计的智能电表作为重要组成部分，在下一代电力系统中无处不在。然而，由于智能电表的不间断读数包含客户的行为模式，因此引发了对用户用电泄漏的公众隐私担忧。为了缓解这一问题，最先进的技术通常是使用可充电电池来隐藏实际功耗。遗憾的是，在现实世界的电池设置下，没有一个现有的作品完全以合理的成本提供严格的隐私保护，即使用有限的充放电速率和容量的电池经济地实现众所周知的差异化隐私保障。为了实现这一目标，本文提出了一种差异化的抄表机制。其主要思想是首先缩小噪声分布参数的范围，以降低违反电池限制的可能性。它还结合了多臂盗贼算法，进一步尽可能地降低了成本。此外，还提出了一种新颖的开关机制，以防止电表在可能违反电池限制时报告其读数。理论分析为该方案的隐私保障提供了形式化证明。此外，实验结果表明，在可接受的额外代价下，该方案的隐私保护能力至少是现有方案的9倍。
Millions of the smart meters, as essential components, are being deployed ubiquitously in the next generation power system. However, the public privacy concerns over the users' power consumption leakage raise, since the smart meters' unintermittent readings contain customers' behavior patterns. To alleviate this problem, the state-of-the-art techniques are common to use a rechargeable battery to hide the actual power consumption. Unfortunately, none of the existing works completely provide a rigorous privacy protection with reasonable cost under real-world battery settings, i.e., achieving the well-known differential privacy guarantee economically using batteries with limited charge/discharge rate and capacity. To attain this goal, this paper proposes a differentially private meter reading report mechanism. The main idea is to first narrow down the domain of the noise distribution parameter, in order to decrease the possibility of violating the battery limits. It also combines a multi-armed bandit algorithm to further reduce the cost as much as possible. In addition, a novel switch mechanism is proposed to prevent the meter from reporting its reading when the battery limitations might be violated. The theoretical analysis provides a formal proof of the privacy guarantee of the proposed scheme. Besides, experimental results show that the privacy protection of the proposed scheme is at least nine times stronger than that of the existing solutions with acceptable extra cost.