Applying the Trustworthy Remote Entity to Privacy-Preserving Multiparty Computation: Requirements and Criteria for Large-Scale Applications

Ankele, Robin; Küçük, Kubilay Ahmet; Martin, Andrew P.; Simpson, Andrew; Paverd, Andrew

doi:10.1109/uic-atc-scalcom-cbdcom-iop-smartworld.2016.0077

Cited by 8 publications

(9 citation statements)

References 30 publications

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“…The authors utilized trusted computing to mitigate the cyber security and privacy threats in the next generation energy networks. Considering SG as case study, similar work is also presented in [215] [217]. However, such techniques (TRE) could suffer from single point of attack as pointed out in [181].…”

Section: F Advanced Trusted Systems Based Privacy-preserving Mechanismsmentioning

confidence: 94%

“…In the same vein, Ankele et al [217] pointed out that secure multi-party computation (MPC) algorithms are inefficient if there are high numbers of participants, e.g., (n) users, in several use-cases. This is due to the fact of the traditional settings, wherein MPC considered only input values as private.…”

Section: Assest Management Wireless Sm Nan Simulation 24mentioning

confidence: 99%

“…Lessons Learned: Due to the heterogeneity of SMs, data concentrators, control centers, the appropriate embedded security and privacy mechanisms (i.e., trusted computing) are essential in SG metering network. We believe that the TRE based schemes, e.g., [124], [125], [127], [217], are more promising for the SG metering networks. The architecture discussed in [218] attempts to proposed OCA that utilizes blind processing techniques to provide data privacy to multiowners in the smart grid domains.…”

Section: Assest Management Wireless Sm Nan Simulation 24mentioning

confidence: 99%

See 2 more Smart Citations

Smart Grid Metering Networks: A Survey on Security, Privacy and Open Research Issues

Kumar

Lin

Bai

et al. 2019

IEEE Commun. Surv. Tutorials

Self Cite

250

115

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Smart grid (SG) networks are newly upgraded networks of connected objects that greatly improve reliability, efficiency and sustainability of the traditional energy infrastructure. In this respect, the smart metering infrastructure (SMI) plays an important role in controlling, monitoring and managing multiple domains in the SG. Despite the salient features of SMI, security and privacy issues have been under debate because of the large number of heterogeneous devices that are anticipated to be coordinated through public communication networks. This survey paper shows a brief overview of real cyber attack incidents in traditional energy networks and those targeting the smart metering network. Specifically, we present a threat taxonomy considering: (i) threats in system-level security, (ii) threats and/or theft of services, and (iii) threats to privacy. Based on the presented threats, we derive a set of security and privacy requirements for SG metering networks. Furthermore, we discuss various schemes that have been proposed to address these threats, considering the pros and cons of each. Finally, we investigate the open research issues to shed new light on future research directions in smart grid metering networks.

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Section: F Advanced Trusted Systems Based Privacy-preserving Mechanismsmentioning

confidence: 94%

Section: Assest Management Wireless Sm Nan Simulation 24mentioning

confidence: 99%

Section: Assest Management Wireless Sm Nan Simulation 24mentioning

confidence: 99%

See 1 more Smart Citation

Smart Grid Metering Networks: A Survey on Security, Privacy and Open Research Issues

Kumar

Lin

Bai

et al. 2019

IEEE Commun. Surv. Tutorials

Self Cite

250

115

View full text Add to dashboard Cite

show abstract

“…Here, the SGX enclave essentially plays the role as an auctioneer. Similar solutions based on trusted computing are presented in [29].…”

Section: Related Workmentioning

confidence: 99%

SEAL: Sealed-Bid Auction Without Auctioneers

Bag

Hao

Shahandashti

et al. 2020

IEEE Trans.Inform.Forensic Secur.

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We propose the first auctioneer-free sealed-bid auction protocol with a linear computation and communication complexity O(c), c being the bit length of the bid price. Our protocol, called Self-Enforcing Auction Lot (SEAL), operates in a decentralized setting, where bidders jointly compute the maximum bid while preserving the privacy of losing bids. In our protocol, we do not require any secret channels between participants. All operations are publicly verifiable; everyone including third-party observers is able to verify the integrity of the auction outcome. Upon learning the highest bid, the winner comes forward with a proof to prove that she is the real winner. Based on the proof, everyone is able to check if there is only one winner or there is a tie. While our main protocol works with the first-price sealed-bid, it can be easily extended to support the second-price sealed-bid (also known as the Vickrey auction), revealing only the winner and the second highest bid, while keeping the highest bid and all other bids secret. To the best of our knowledge, this work establishes to date the best computation and communication complexity for sealed-bid auction schemes without involving any auctioneer.

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“…Many-party applications. Many-party applications can often be modelled as communication systems, in which many mutually distrusting participants [2] wish to communicate with each other without diminishing their privacy. For example, users of a location-based service (LBS) may send their locations to a service to receive location-relevant information, but this diminishes their privacy.…”

Section: Introductionmentioning

confidence: 99%

Exploring the use of Intel SGX for Secure Many-Party Applications

Küçük

Paverd

Martin

et al. 2016

Proceedings of the 1st Workshop on System Software for Trusted Execution

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The theoretical construct of a Trusted Third Party (TTP) has the potential to solve many security and privacy challenges. In particular, a TTP is an ideal way to achieve secure multiparty computation-a privacy-enhancing technique in which mutually distrusting participants jointly compute a function over their private inputs without revealing these inputs. Although there exist cryptographic protocols to achieve this, their performance often limits them to the two-party case, or to a small number of participants. However, many real-world applications involve thousands or tens of thousands of participants. Examples of this type of many-party application include privacy-preserving energy metering, location-based services, and mobile network roaming. Challenging the notion that a trustworthy TTP does not exist, recent research has shown how trusted hardware and remote attestation can be used to establish a sufficient level of assurance in a real system such that it can serve as a trustworthy remote entity (TRE). We explore the use of Intel SGX, the most recent and arguably most promising trusted hardware technology, as the basis for a TRE for many-party applications. Using privacy-preserving energy metering as a case study, we design and implement a prototype TRE using SGX, and compare its performance to a previous system based on the Trusted Platform Module (TPM). Our results show that even without specialized optimizations, SGX provides comparable performance to the optimized TPM system, and therefore has significant potential for large-scale many-party applications.

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Applying the Trustworthy Remote Entity to Privacy-Preserving Multiparty Computation: Requirements and Criteria for Large-Scale Applications

Cited by 8 publications

References 30 publications

Smart Grid Metering Networks: A Survey on Security, Privacy and Open Research Issues

Smart Grid Metering Networks: A Survey on Security, Privacy and Open Research Issues

SEAL: Sealed-Bid Auction Without Auctioneers

Exploring the use of Intel SGX for Secure Many-Party Applications

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