Citation Context

...d privacy in the aggregation, we employ homomorphic encryption to ensure that intermediate results are not revealed to any device en route, while still maintaining an efficient and effective aggregation process. The rest of the paper is organized as follows: in Sections 2 and 3, we introduce related works and background, especially homomorphic encryption. In Section 4, we present our problem and explore possible solutions. We conclude the paper in Section 5. II. RELATED WORKS Research on smart grid spans a wide spectrum: from technology [12]–[14] to economy, marketing, policy and legal issues [15], [16]; from power generation, transmission, distribution [17], [18], to load management, failure diagnosis and recovery [19]–[21], to smart meter implementation and communications [13], [22]–[25]. Among these topics, we are particularly interested in security and privacy of smart grids. [9] identifies several security and privacy vulnerabilities/threats in smart grids, and calls for attention and efforts 978-1-4244-6511-8/10/$26.00 ©2010 IEEE 327 from government, academia and industry. [10] reviews the security challenges in smart grids, with a special focus on trust, authentication and encry...

Citation Context

... may arise, such as energy traders, distributed generation operators, etc. [6] (see Figure 2).Energies 2013, 6 254 Figure 2. Overview of transactions within the electricity market [6]. Tabors et al. =-=[7]-=- define three elements as the “pillars” of the smart grid. Those elements are: • Smart Customer: their consumption; the set of technologies that enable consumers to observe and control • Smart Utility...

Citation Context

...will help the utility companies to act on consumer information gathered from smart meters (SM) at the user’s premises. The two-way communication capability will enable functions such as demand-response, demanddispatch, self-monitoring, and self-diagnosis for the existing power grid [3]. It also promises reduced prices through dynamic pricing schemes, wide penetration of renewable resources such as wind and solar, and fewer power outages [4]. Smart Grid researchers have been studying miscellaneous problems such as communication technologies and infrastructure [5]-[9], legal and policy concerns [10], [11], reliability, failure diagnosis and recovery [12]-[14], demandresponse, load-shaping and peak-shaving [15]-[17], data aggregation [5], [18]-[20] and, last but not the least, security and privacy [3]-[5], [21]-[23]. Having access to fine-grained usage data reveals serious potential security and privacy threats to the users. For instance, it can be easily determined if a This work was supported in part by the Power Systems Engineering Research Center (PSERC) Project S-54. residential house is vacant or not by observing the fine-grained energy consumption patterns [24]. It is also possible...

Citation Context

... economic dispatch markets that determine actual ex post variable marginal cost of energy at each bus or node of the transmission system. We assume that with the advent of the smart grid ([10], [11], =-=[12]-=-, [13]) a Load Aggregator (LA) will be able to participate in power markets on a par basis with centralized generators. In particular we assume that an LA will be able to buy energy on an hourly basis...