Redactable Signatures to Control the Maximum Noise for Differential Privacy in the Smart Grid

Pöhls, Henrich C.; Karwe, Markus

doi:10.1007/978-3-319-10329-7_6

Cited by 8 publications

(6 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Meter data aggregation (across the time horizon and/or across different meters) is one of the popular queries that the utility company can mainly use for customer billing, creating strategies for mitigating peak demand, and/or creating cost-effective plans for balancing the supply and demand. Other queries included 1) perturbating individual timeseries metered profile [54][55][56][57][58], 2) spectral analysis [59,60], and 3) state estimation in distribution network [61].…”

Section: Local (Distributed) and Non-interactive Modelsmentioning

confidence: 99%

“…The former implementation mostly focuses on protecting the individual lifestyle embedded in the time dependent energy consumption data where the privacy can be threatened by NILM attack. Some of the previous studies [54][55][56][57][58][59][60] focused specifically on perturbing the timeseries data by adding noise in each time stamp to hide the underlying privacy in the time dependent data stream. For example, Pöhls and Karwe [54] proposed a -differential privacy algorithm to obfuscate the energy usage pattern of a household.…”

Section: Private Meter Including Differential Privacy Combined With E...mentioning

confidence: 99%

See 1 more Smart Citation

A review of preserving privacy in data collected from buildings with differential privacy

Kim

H²,

Hong

et al. 2022

Journal of Building Engineering

View full text Add to dashboard Cite

Section: Local (Distributed) and Non-interactive Modelsmentioning

confidence: 99%

Section: Private Meter Including Differential Privacy Combined With E...mentioning

confidence: 99%

A review of preserving privacy in data collected from buildings with differential privacy

Kim

H²,

Hong

et al. 2022

Journal of Building Engineering

View full text Add to dashboard Cite

“…A number of RS schemes have been presented since the introduction of redactable signatures [11,30]. Most of the general constructions are based on traditional digital signature schemes [3][4][5][6][7][14][15][16][17][18][19][25][26][27]29]. Specifically, the constructions in [11,13,24,30] are based on RSA algorithms, and their security depends on the complexity of large number decomposition.…”

Section: Related Workmentioning

confidence: 99%

“…Redactable signatures have found wide applications in scenarios such as electronic health records systems, social networks, and smart grids. Privacy is a concern on authenticated data publish [3,14,15,17,25,29].…”

Section: Introductionmentioning

confidence: 99%

Ring Trapdoor Redactable Signatures from Lattice

Yang

Huang

Zheng

et al. 2021

Information Security Practice and Experience

View full text Add to dashboard Cite

Redactable signature plays a significant role in real-life applications such as electronic health records, and has been studied extensively. Nevertheless, how to construct a redactable signature scheme with designated redactors is still unknown. In this paper, we affirmatively answer this problem by presenting a notion of ring trapdoor redactable signature (RTRS). RTRS is a variant of redactable signature where the redactors are specified. We first introduce the concept of ring trapdoor preimage sampleable functions (RPSFs), which inherits the merit of preimage sampleable functions and ring trapdoor functions, and then show an instantiation of RPSFs under the assumption of inhomogeneous small integer solution problem. We then present two concrete constructions of RTRS (a simplified version and a full version) from a family of RPSFs and a common signature scheme. It is proved that the unforgeability, privacy and restriction of proposed schemes relies on the security of underlying common signature schemes and ring one-way property of the RPSFs. Besides, we also prove that our schemes satisfy the indistinguishability.

show abstract

“…If the subsequent changes stay within those authorised changes, then the signature is still valid and the recipient can verify that no unauthorised changes have happened, thus verifies a reduced integrity, but a much higher one compared to the failed classical signature. For example, this cryptographic tool was used in [71] to set the limit of perturbation on energy consumption values from a Smart Metering Gateway that could be added by a privacy gateway. It also allowed the privacy gateway to inform the user of the allowed changes, i.e., alert if the allowed noise level is too low and thus too fine-grained data is requested.…”

Section: Authenticity Preserving But Privacy-enhancing Processingmentioning

confidence: 99%

What it takes to boost Internet of Things privacy beyond encryption with unobservable communication: a survey and lessons learned from the first implementation of DC-net

Staudemeyer

Pöhls

Wójcik

2019

J Reliable Intell Environ

Self Cite

View full text Add to dashboard Cite

Privacy requires more than just encryption of data before and during transmission. Privacy would actually demand hiding the sheer fact that communication takes place. This requires to protect meta-data from observation. We motivate the need for strong privacy protection in a smart home use case by highlighting the privacy issues that cannot be solved by confidentiality mechanisms like encryption alone. Our solution is a implementation of DC-net on Re-Mote sensor nodes running Contiki OS. From this, we conclude that the computational and network overheads imposed by these techniques do not make them impractical to use in the IoT. To the best knowledge of the authors, this is the first implementation of DC-net on sensors. Alongside, we provide a survey of the required strong cryptographic security mechanisms, like encryption of communication, to be in place. We describe how the current existing techniques can be facilitated to achieve unobservable communication for the IoT. This includes mechanisms for encrypted IoT communication like DTLS or message authentication like ECDSA signatures on IoT devices. For readers unfamiliar with the concepts of MIXing and DC-net, we explain and analyse how those techniques, formerly used to provide private communication in the Internet, can be applied to the IoT. We briefly survey what complementary features from the IoT architecture are helpful in providing strong protection in this particular use case. Finally, we state some recommendations hoping that following these will enable us to reduce the privacy invasiveness of the IoT on all levels. We think that this will be indispensable if IoT devices shall become a part of our daily lives without rendering us into an Orwellian society.

show abstract

Redactable Signatures to Control the Maximum Noise for Differential Privacy in the Smart Grid

Cited by 8 publications

References 25 publications

A review of preserving privacy in data collected from buildings with differential privacy

A review of preserving privacy in data collected from buildings with differential privacy

Ring Trapdoor Redactable Signatures from Lattice

What it takes to boost Internet of Things privacy beyond encryption with unobservable communication: a survey and lessons learned from the first implementation of DC-net

Contact Info

Product

Resources

About