【信息技术】【2013.07】多分辨率智能仪表数据的选择性加密方法

本文为奥地利萨尔茨堡大学（作者：Adnan Srna）的硕士论文，共79页。

电力消耗计量的新指令使公用事业公司能够持续监测电网的状况。保持持续电量反馈的好处是能够实现较低的能源生产盈余，更快地恢复供电并对能源价格实现定制。该系统的缺点是每个家庭都要配备了一台数字计量装置、一个智能仪表，它以15分钟为周期记录消耗的电量。这种个人智能仪表数据以非侵入性的方式泄露用户生活行为，并威胁到用户的隐私。由于这些智能仪表是由低功耗硬件组件的嵌入式系统，在考虑安全性的同时需要节约能源消耗。本文提出了一种低能耗的方法来防止对智能仪表数据的窃听，并且定义了一种在不侵犯隐私的情况下访问这些数据的可接受的方法。本文利用小波多分辨率分析来评估安全性和性能之间的权衡。研究结果表明，通过小波分析和选择性加密，运算量可以减少约30%。对于智能仪表，这意味着它们的硬件组成和价格都可以减少。

New directives in electric consumptionmetering enable utility companies to continuously monitor the condition of theelectric grid. The benefits of the permanent feedback are lower energyproduction surplus, faster recoveries from blackouts and tailor-made energyrates. The drawback of this system is that every household is equipped with adigital metering device, a smart meter, which captures the electric consumptionon a 15-minute basis. This individual smart meter data reveals user behaviornon-intrusively and threatens users’ privacy. As these smart meters areembedded systems with low power hardware components, security needs to beresource conserving. This thesis proposes a low resource consuming approach toprevent eavesdropping on smart meter data and defines an acceptable way toaccess these data without violating privacy. With the use of wavelet multi-resolutionanalysis a trade-off between security and performance is evaluated. It is shownthat by means of wavelets and selective encryption the computational effort canbe reduced by approximately 30%. For smart meters this implies that theirhardware components and their prices can be reduced.

1 引言
2 本文研究目标
3 科学与理论研究背景
4 加密方法
5 数据的小波分析方法
6 研究方法
7 具体实现
8 实验结果与发现
9 讨论

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