Split: A Hash-based Memory Optimization Method for Zero-Knowledge Succinct Non-Interactive Argument of Knowledge (zk-SNARK)

Qi, Huayi; Cheng, Ye; Yu, Dongxiao; Wang, Haipeng; Lü, Weifeng

doi:10.1109/tc.2023.3235975

Cited by 5 publications

(2 citation statements)

References 25 publications

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“…One of the latest innovations that plays a vital role in maintaining data privacy is zk-SNARKs (Zero-Knowledge Succinct Non-Interactive Argument of Knowledge). This technology presents a robust solution to harmonize data security with privacy which is highly required in various technological applications (Banerjee et al, 2020;Ozdemir & Boneh, 2022;Qi et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

Zk-SNARKs As A Cryptographic Solution For Data Privacy And Security In The Digital Era

Santoso,

Christyono

2023

Computational

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This research brings the concept of zk-SNARKs (Zero-Knowledge Succinct Non-Interactive Argument of Knowledge) in the context of data security and privacy in the digital world. zk-SNARKs is a cryptographic technology that allows individuals to prove a statement or knowledge without having to reveal the actual details of the information. We illustrate this concept through a simple example of proving age over 18 without revealing the actual date of birth. This research highlights the importance of maintaining data privacy in various technological applications, including the use of zk-SNARKs in blockchain to maintain transaction privacy and personal data protection in increasingly sophisticated applications. However, the implementation of zk-SNARKs requires deep mathematical understanding and strong data security concerns. With great potential to support data privacy and security in the evolving digital era, zk-SNARKs is a highly relevant tool in addressing privacy-related challenges in the digital world. The conclusion of this research is that zk-SNARKs is an important tool in maintaining data privacy and security in the digital age. With its ability to allow individuals to prove knowledge or assertions without revealing actual details of information, this technology has wide applications in various sectors, including finance, data management, and data privacy protection. However, it should be emphasized that the implementation of zk-SNARKs requires extra care in securing the system and ensuring that the technology is used properly to maintain high data privacy and security. With further development and understanding in this technology, zk-SNARKs can be an integral component in building a safer and more private digital world.

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Section: Introductionmentioning

confidence: 99%

Zk-SNARKs As A Cryptographic Solution For Data Privacy And Security In The Digital Era

Santoso,

Christyono

2023

Computational

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“…Zero-Knowledge Succinct Non-Interactive Arguments of Knowledge (zk-SNARKs) [41]: zk-SNARKs allow for the verification of computations without revealing the inputs or intermediate steps. This technology can be used in blockchain to prove the validity of a computation, such as verifying a smart contract, while keeping the inputs confidential.…”

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confidence: 99%

An Overview of Privacy Dimensions on the Industrial Internet of Things (IIoT)

Demertzi

Demertzis

2023

Algorithms

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The rapid advancements in technology have given rise to groundbreaking solutions and practical applications in the field of the Industrial Internet of Things (IIoT). These advancements have had a profound impact on the structures of numerous industrial organizations. The IIoT, a seamless integration of the physical and digital realms with minimal human intervention, has ushered in radical changes in the economy and modern business practices. At the heart of the IIoT lies its ability to gather and analyze vast volumes of data, which is then harnessed by artificial intelligence systems to perform intelligent tasks such as optimizing networked units’ performance, identifying and correcting errors, and implementing proactive maintenance measures. However, implementing IIoT systems is fraught with difficulties, notably in terms of security and privacy. IIoT implementations are susceptible to sophisticated security attacks at various levels of networking and communication architecture. The complex and often heterogeneous nature of these systems makes it difficult to ensure availability, confidentiality, and integrity, raising concerns about mistrust in network operations, privacy breaches, and potential loss of critical, personal, and sensitive information of the network's end-users. To address these issues, this study aims to investigate the privacy requirements of an IIoT ecosystem as outlined by industry standards. It provides a comprehensive overview of the IIoT, its advantages, disadvantages, challenges, and the imperative need for industrial privacy. The research methodology encompasses a thorough literature review to gather existing knowledge and insights on the subject. Additionally, it explores how the IIoT is transforming the manufacturing industry and enhancing industrial processes, incorporating case studies and real-world examples to illustrate its practical applications and impact. Also, the research endeavors to offer actionable recommendations on implementing privacy-enhancing measures and establishing a secure IIoT ecosystem.

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