Power line carrier (PLC) signal analysis of smart meters for outlier detection

Rao, R. Das; Akella, Srinivas; Guley, Gokhan

doi:10.1109/smartgridcomm.2011.6102335

Cited by 25 publications

(11 citation statements)

References 9 publications

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“…(1; a = 0). From (9), it can be seen that V γ (w; a = 1) is linear in w. Following from the convexity of V γ (w), we can conclude that V γ (w; a = 0) is convex in w. This leads to a graph as that shown in Figure 2 concluding the proof.…”

Section: Optimal Transmission Policies Under Lost Feedbackmentioning

confidence: 53%

“…In fact, all communication media are lossy to some extent, due to uncertainties stemming from various phenomena such as unpredictable system loads and physical properties of the media. For example, wireless and power line communication quality are influenced by path loss, fading, interference, switching of the power grid, activation of electrical equipment, etc [9]- [12]. Although message loss is common in wireless and power line networks, it actually exists everywhere [13], [14].…”

Section: Introductionmentioning

confidence: 99%

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To Transmit Now or Not to Transmit Now

Dzung

Guerraoui

Kozhaya

et al. 2015

2015 IEEE 34th Symposium on Reliable Distributed Systems (SRDS)

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Abstract-This paper studies how a reliable communication service can be built, with high probability synchrony, over a wireless channel. We investigate environments where energy consumption is crucial, e.g., sensor networks. We consider a Partially Observable Markov Decision Process (POMDP) setting in which the channel state: (i) changes according to a classic Markovian model and (ii) can be only partially observed, through feedback relative to previous transmissions. We perform a thorough analytic study under four Ack/Nack feedback mechanisms, which to our knowledge represent all Ack/Nack feedback variations. Despite the general intractability of POMDPs, we prove that our communication service, under reliable feedback, can be inexpensively implemented. We precisely obtain a closed form solution specifying when to transmit over the channel, which allows to derive an energy-optimal dependable implementation. We show that an easy implementable structure for our communication service can also be obtained under lossy feedback, depending on the feedback mechanism.

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Section: Optimal Transmission Policies Under Lost Feedbackmentioning

confidence: 53%

Section: Introductionmentioning

confidence: 99%

To Transmit Now or Not to Transmit Now

Dzung

Guerraoui

Kozhaya

et al. 2015

2015 IEEE 34th Symposium on Reliable Distributed Systems (SRDS)

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“…Firstly, we derive distribution pattern of φ κ through sample excess kurtosis (κ) measurement. For κ > 3, (leptokurtic distribution), modified Rosner filtering is executed to minimize swamping effect [3], [2]. Instead of sample mean, we use sample median for Rosner backward selection method.…”

Section: Sensitivity Detectormentioning

confidence: 99%

“…We have bench-marked our smart-meter privacy analyzer with the existing state-of-the-art solutions like Z-score and modified Z-score [2] based sensitivity detection applied on same set of smart meter data for six different houses. Figure 3 shows that our tool outperforms the other two methods.…”

Section: Empirical Evaluationmentioning

confidence: 99%

SPA: smart meter privacy analyzer

Ukil¹,

Bandyopadhyay²,

Pal³

2014

Proceedings of the 1st ACM Conference on Embedded Systems for Energy-Efficient Buildings

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Smart meter data, invites intended or unintended malicious and potentially dangerous privacy breaching activities, like activity detection of the habitants though it has high potential to facilitate innumerable utilities. Here, we propose a novel solution SPA: Smart meter Privacy Analyzer for addressing the problem of privacy breaching risk minimization smart home energy management systems. It is an unsupervised learning based method along with robust statistics and information theoretic approaches. This abstract provides overview of design and implementation of our tool along with obtained results and most importantly evaluation of a trade-off point to realize optimal privacy-utility trade-off.

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“…Then we measure the privacy content of the sensor dataset using information theoretic model that is consistent with analytical reasoning. We perform experimental tests using real sensor data [1] and compare our results with relevant techniques [2][3].…”

Section: Introductionmentioning

confidence: 99%

IoT-Privacy: To be private or not to be private

Ukil

Bandyopadhyay

Pal

2014

2014 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)

102

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Privacy breaching attacks pose considerable challenges in the development and deployment of Internet of Things (IoT) applications. Though privacy preserving data mining (PPDM) minimizes sensitive data disclosure probability, sensitive content analysis, privacy measurement and user's privacy awareness issues are yet to be addressed. In this paper, we propose a privacy management scheme that enables the user to estimate the risk of sharing private data like smart meter data. Our focus is to develop robust sensitivity detection, analysis and privacy content quantification scheme from statistical disclosure control aspect and information theoretic model. We depict performance results using real sensor data.

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Power line carrier (PLC) signal analysis of smart meters for outlier detection

Cited by 25 publications

References 9 publications

To Transmit Now or Not to Transmit Now

To Transmit Now or Not to Transmit Now

SPA: smart meter privacy analyzer

IoT-Privacy: To be private or not to be private

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