The Survey on the development of Secure Multi-Party Computing in the blockchain

Wu, Songqi; Li, Jin; Duan, Fenghui; Lu, Yueming; Zhang, Xu; Gan, Jiefu

doi:10.1109/dsc53577.2021.00008

Cited by 5 publications

(2 citation statements)

References 23 publications

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“…Although many experts think quantum assaults won't happen for a few more years, there have been irregular and unexpected developments in the sector. With the advent of quantum computers, secure public-key techniques like RSA and DSA are now susceptible to compromise [36], [37]. One of the following maths equations will determine whether the approaches are secure: discrete logarithm, elliptic curve discrete logarithm, or integer factorization.…”

Section: Quantum Cyber-security Threatsmentioning

confidence: 99%

Protection from A Quantum Computer Cyber-Attack

Raya¹,

Yahya²,

Ahmad³

2023

Technium

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Encryption is required to address the ongoing issue of information security within communication networks. In the second part of the 20th century, quantum computing was first utilized to crack encryption protocols with the SHOR algorithm's development. The transformation from traditional to computational has the possibility of jeopardizing the protection of the current transaction system, even though recent improvements in QC functionality have increased the privacy and security, integrity, and accessibility of networks by shielding them from attacks like eavesdropping. This research adopts a comprehensive literature review approach to clarify the effects of quantum computers on information security. In addition, the study provides a summary of current efforts to guard against quantum attacks. Examining all suggested information security and privacy safeguards, this study examines the additional issue that quantum computers would severely damage information security.

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Section: Quantum Cyber-security Threatsmentioning

confidence: 99%

Protection from A Quantum Computer Cyber-Attack

Raya¹,

Yahya²,

Ahmad³

2023

Technium

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“…On the premise of ensuring that the data provider does not disclose the original information, he uses and computes the data to realize data's availability and invisibility. Privacy computing is widely used in blockchain [1][2][3] , sensor networks 4,5 , Identification of malicious and intrusion traffic in the Internet of Things 6,7 , and data collaborative computing 8,9 . Secure multi-party computation (MPC), one of three major technical tools of privacy computing, is a collaborative computing method used to compute various types of data.…”

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confidence: 99%

The secure judgment of graphic similarity against malicious adversaries and its applications

Liu

Luo³

et al. 2023

Sci Rep

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With the advent of the era of big data, privacy computing analyzes and calculates data on the premise of protecting data privacy, to achieve data ‘available and invisible’. As an important branch of secure multi-party computation, the geometric problem can solve practical problems in the military, national defense, finance, life, and other fields, and has important research significance. In this paper, we study the similarity problem of geometric graphics. First, this paper proposes the adjacency matrix vector coding method of isomorphic graphics, and use the Paillier variant encryption cryptography to solve the problem of isomorphic graphics confidentiality under the semi-honest model. Using cryptography tools such as elliptic curve cryptosystem, zero-knowledge proof, and cut-choose method, this paper designs a graphic similarity security decision protocol that can resist malicious adversary attacks. The analysis shows that the protocol has high computational efficiency and has wide application value in terrain matching, mechanical parts, biomolecules, face recognition, and other fields.

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Privacy and Transparency in Blockchain-Based Smart Grid Operations

Loreti,

Bracciale,

Raso

et al. 2023

IEEE Access

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In the past few years, blockchain technology has emerged in numerous smart grid applications, enabling the construction of systems without the need for a trusted third party. Blockchain offers transparency, traceability, and accountability, which lets various energy management system functionalities be executed through smart contracts, such as monitoring, consumption analysis, and intelligent energy adaptation. Nevertheless, revealing sensitive energy consumption information could render users vulnerable to digital and physical assaults. This paper presents a novel method for achieving a dual balance between privacy and transparency, as well as accountability and verifiability. This equilibrium requires the incorporation of cryptographic tools like Secure Multiparty Computation and Verifiable Secret Sharing within the distributed components of a multichannel blockchain and its associated smart contracts. We corroborate the suggested architecture throughout the entire process of a Demand Response scenario, from the collection of energy data to the ultimate reward. To address our proposal's constraints, we present countermeasures against accidental crashes and Byzantine behavior while ensuring that the solution remains appropriate for low-performance IoT devices.

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The Survey on the development of Secure Multi-Party Computing in the blockchain

Cited by 5 publications

References 23 publications

Protection from A Quantum Computer Cyber-Attack

Protection from A Quantum Computer Cyber-Attack

The secure judgment of graphic similarity against malicious adversaries and its applications

Privacy and Transparency in Blockchain-Based Smart Grid Operations

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