A Tunable Fraud Detection System for Advanced Metering Infrastructure Using Short-Lived Patterns
A Tunable Fraud Detection System for Advanced Metering Infrastructure Using Short-Lived Patterns
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DOI：
10.1109/tsg.2017.2753738
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发表时间：
2019-01
影响因子：
9.6
通讯作者：
Marcelo Zanetti;Edgard Jamhour;M. Pellenz;M. Penna;V. Zambenedetti;Ivan Chueiri
中科院分区：
文献类型：
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作者：
Marcelo Zanetti;Edgard Jamhour;M. Pellenz;M. Penna;V. Zambenedetti;Ivan Chueiri
我们提出了一个欺诈检测系统（FDS）先进的计量基础设施的基础上，从智能电表的能源消耗报告的异常检测。当检测到电网提供的能量与智能电表报告的能量之间存在差异时，就会触发欺诈检查。我们使用一种创新的方法，将差异检测前后不久登记的消费报告进行比较，以检测欺诈行为。我们的FDS引入了一个重要的创新，它表明可以只使用一小部分最近的措施来定义消费模式。我们称这些模式为短暂的，因为它们预计将代表消费者在短时间内的行为，仅足以检测正在进行的欺诈。这种方法允许FDS考虑用户消费行为的自然变化，并有助于保护他们的隐私。FDS可以被调整，使用优化过程，通过对真或假警报率施加约束，或最大化表示公用事业的收入的目标函数。
We propose a fraud detection systems (FDS) for advanced metering infrastructure based on anomaly detection on the energy consumption reports from smart meters. Fraud inspection is triggered when a discrepancy between the energy supplied by the grid and that reported by smart meters is detected. We use an innovative approach, where consumption reports registered shortly before and after the discrepancy detection are compared to detect a fraud. Our FDS introduces an important innovation by showing that it is possible to use only a small set of recent measures to define a consumption pattern. We call these patterns short-lived because they are expected to represent the behavior of a consumer for a short period, only enough to detect an ongoing fraud. This approach allows the FDS to account for natural changes in the consumption behavior of users and also helps to preserve their privacy. The FDS can be tuned, using an optimization procedure, by imposing constraints on the true or false alarm rates, or maximizing an objective function that represents the revenue of the utility.