SoK: Data Sovereignty

Ernstberger, Jens; Lauinger, Jan; Elsheimy, Fatima; Zhou, Liyi; Steinhorst, Sebastian; Canetti, Ran; Miller, Andrew; Gervais, Arthur; Song, Dawn

doi:10.1109/eurosp57164.2023.00017

Cited by 9 publications

(2 citation statements)

References 80 publications

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“…(ii) We advocate for obstructing transaction linkability through advanced privacy protocols, notably Zero Knowledge Proofs (ZKPs) [3], to obscure the connection between users' layer 1 and layer 2 activities without undermining transaction integrity. We also encourage the adoption of Decentralized Identity (DID) systems [16] to bolster user control over personal data and offer privacypreserving authentication. These measures collectively may form a robust approach to addressing privacy issues in the Web3 social ecosystem.…”

Section: Recommendationsmentioning

confidence: 99%

Beijing Language and Culture University, China

Wang¹

2022

The Experience of Examining the PhD

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In the study of network synchronization, an outstanding question of both theoretical and practical significance is how to allocate a given set of heterogenous oscillators on a complex network in order for improving the synchronization performance. Whereas methods have been proposed to address this question in literature, the methods are based on accurate models describing the system dynamics, which, however, are normally unavailable in realistic situations. Here we show that this question can be addressed by the model-free technique of feed-forward neural network (FNN) in machine learning. Specifically, we measure the synchronization performance of a number of allocation schemes and use the measured data to train a machine. It is found that the trained machine is able to not only infer the synchronization performance of any new allocation scheme, but also find from a huge amount of candidates the optimal allocation scheme for synchronization.

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Section: Recommendationsmentioning

confidence: 99%

Beijing Language and Culture University, China

Wang¹

2022

The Experience of Examining the PhD

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“…In 2023, blockchain technology remains paramount, its value clearly demonstrated by the market capitalization of cryptocurrencies, which stands around US$835 billion, even after a significant decline from its peak at the end of 2021. This significant market value underscores the global acceptance and reliance on blockchain technology, underpinning the operation of cryptocurrencies and other relevant use cases, such as social impact [139], [140], decentralized finance [141]- [143], decentralized identity [144], [145], process optimization [146], [147], and many more [148]. Indeed, the development of blockchain technologies gave back to traditional distributed systems [149] and cryptography research [150], highlighting the importance of this new discipline.…”

Section: Appendix a Additional Contextmentioning

confidence: 99%

Harmonia: Securing Cross-Chain Applications Using Zero-Knowledge Proofs

Belchior,

Dimov,

Karadjov

et al. 2023

Preprint

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The field of blockchain interoperability plays a pivotal role in blockchain adoption. Despite these advances, a notorious problem persists: the high number and success rate of attacks on blockchain bridges. We propose Harmonia, a framework for building robust, secure, efficient, and decentralized cross-chain applications. A main component of Harmonia is DendrETH, a decentralized and efficient zero-knowledge proof-based light client. DendrETH mitigates security problems by lowering the attack surface by relying on the properties of zero-knowledge proofs. The DendrETH instance of this paper is an improvement of Ethereum’s light client sync protocol that fixes critical security flaws. This light client protocol is implemented as a smart contract, allowing blockchains to read the state of the source blockchain in a trust-minimized way. Harmonia and DendrETH support several cross-chain use cases, such as secure cross-blockchain bridges (asset transfers) and smart contract migrations (data transfers), without a trusted operator. We implemented Harmonia in 9K lines of code. Our implementation is compatible with the Ethereum Virtual Machine (EVM) based chains and some non-EVM chains. Our experimental evaluation shows that Harmonia can generate light client updates with reasonable latency, costs (a dozen to a few thousand US dollars per year), and minimal storage requirements (around 4.5 MB per year). We also carried out experiments to evaluate the security of DendrETH. We provide an open-source implementation and reproducible environment for researchers and practitioners to replicate our results.

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