Blockchain Papers

Noga Ron‐Zewi, Mor Weiss

No abstract is available for this record.

Linlin Li, Chungen Xu, Pan Zhang

No abstract is available for this record.

P. Arunkumar

Genetic research has significantly advanced with the utilization of DNA Short Tandem Repeat (STR) profiling, playing a pivotal role in forensic investigations and medical studies.However, the surge in genetic data usage has sparked concerns about the privacy and security of individuals' genetic information.In response to these challenges, this paper introduces a pioneering framework that integrates zero-knowledge proofs and blockchain technology to enhance the security of DNA STR profiles.The primary objective of this study is to establish a secure and privacypreserving environment for the comprehensive management of DNA STR profiles.The proposed framework combines the cryptographic guarantees of zero-knowledge proofs with the decentralized and tamper-resistant nature of blockchain technology to enable secure transactions involving DNA STR profiles.This cryptographic technique allows parties to validate the authenticity of information without exposing the actual data, ensuring privacy during data interactions.Blockchain technology is leveraged for the creation of a decentralized and distributed ledger that stores DNA STR profiles for tamper proofing.Smart contracts play a crucial role in enforcing security policies within the blockchain network.These contracts automate the execution of predefined rules, such as access control and data sharing permissions.Additionally, a consensus mechanism is implemented within the blockchain network to ensure agreement among network participants on the validity of transactions.A detailed pseudo algorithm is introduced in the research paper, outlining the step-by-step processes involved in securing DNA STR profiles using zero-knowledge proofs and blockchain.The proposed framework not only addresses current challenges in genetic privacy but also establishes a foundation for the future development of secure genetic databases.

Eric Joshua Nyato, Emmanuel Charles Kimito, Jaehun Yang, Do-Yeop Lee · 5 authors

No abstract is available for this record.

Xiaohui Yang, Kun Zhang

Data is regarded as a valuable asset, and sharing data is a prerequisite for fully exploiting the value of data. However, the current medical data sharing scheme lacks a fair incentive mechanism, and the authenticity of data cannot be guaranteed, resulting in low enthusiasm of participants. A fair and trusted medical data trading scheme based on smart contracts is proposed, which aims to encourage participants to be honest and improve their enthusiasm for participation. The scheme uses zero-knowledge range proof for trusted verification, verifies the authenticity of the patient’s data and the specific attributes of the data before the transaction, and realizes privacy protection. At the same time, the game pricing strategy selects the best revenue strategy for all parties involved and realizes the fairness and incentive of the transaction price. The smart contract is used to complete the verification and game bargaining process, and the blockchain is used as a distributed ledger to record the medical data transaction process to prevent data tampering and transaction denial. Finally, by deploying smart contracts on the Ethereum test network and conducting experiments and theoretical calculations, it is proved that the transaction scheme achieves trusted verification and fair bargaining while ensuring privacy protection in a decentralized environment. The experimental results show that the model improves the credibility and fairness of medical data transactions, maximizes social benefits, encourages more patients and medical institutions to participate in the circulation of medical data, and more fully taps the potential value of medical data.

Sajjad Mohammed Shlaka, Hala Bahjat Abdul Wahab

No abstract is available for this record.

Sepideh Avizheh, Reihaneh Safavi–Naini

No abstract is available for this record.

Daniel Commey, Bin Mai, Sena Hounsinou, Garth V. Crosby

This paper reviews the role of blockchain technology in enhancing the security of Internet of Things (IoT) systems and maintaining data integrity. We address the increased vulnerabilities and broader attack surface resulting from the integration of blockchain and IoT. The review emphasizes the potential of technologies like zero-knowledge proofs (ZKP) and post-quantum cryptography (PQC) to mitigate these security challenges. Additionally, we explore how game theory, machine learning, and cyber deception strengthen the defense of blockchain-based IoT systems against various threats. The paper also identifies open research areas, emphasizing the need for continued exploration to advance these fields. An additional contribution of this study is introducing a conceptual framework incorporating these technologies, laying the groundwork for developing advanced security solutions within the blockchain-enhanced IoT ecosystem.

Nadia Pocher, Johannes Sedlmeir

No abstract is available for this record.

Fuchun Joseph Lin, Chaoping Xing, Yizhou Yao

No abstract is available for this record.

Changrui Mu, Shafik Nassar, Ron D. Rothblum, Prashant Nalini Vasudevan

No abstract is available for this record.

Haitao Zhan, Dongyang Bai, Yuzhu Wang, Mingwu Zhang

No abstract is available for this record.

Aneesh Sathe, Varun Prakash Saxena, P. Akshay Bharadwaj, S. Sandosh

No abstract is available for this record.

Quang Dao, Aayush Jain, Zhengzhong Jin

No abstract is available for this record.

Alireza Nikoyesafahani, Kaebeh Yaeghoobi

No abstract is available for this record.

Cyprien Delpech de Saint Guilhem, Robi Pedersen

No abstract is available for this record.

Nir Bitansky, Nathan Geier

No abstract is available for this record.

Michele Orrù, Stefano Tessaro, Greg Zaverucha, Chenzhi Zhu

No abstract is available for this record.

Youcef Mokrani, David Jao

No abstract is available for this record.

Thomas Twenhoeven, Kai Hoberg, Moritz Petersen

No abstract is available for this record.

Jayavanth Shenoy, Patrick Grinaway, Shriphani Palakodety

No abstract is available for this record.

Subhranil Das, Rashmi Kumari, Raghwendra Kishore Singh, Dev Rishi · 5 authors

Zero Knowledge Proofs (ZKPs) have emerged as transformative cryptographic primitives, enabling a wide variety of modern privacy-preserving applications across various domains. This paper presents substantial advancements in contemporary ZKPs, exploring the latest trends in ZKP schemes, novel applications, and scalable ZKP-based systems. We provide an in-depth analysis of state-of-the-art ZKP structures, including zk-SNARKs, zk-STARKs, and the more recent zk-Rollup technologies. We examine the unique properties and use cases of these techniques, highlighting their potential to enhance privacy, security, and trust in digital systems. Our research into zk-Rollups demonstrates significant improvements in transaction throughput and gas efficiency, paving the way for the extensive deployment of modern privacy-preserving solutions. Furthermore, we showcase several innovative applications of ZKPs, such as privacy-preserving decentralized finance (DeFi) protocols, anonymous credentials, and secure multi-party computation. These use cases illustrate the transformative potential of advanced ZKPs to improve privacy and security across a range of digital domains. To foster wider adoption of modern ZKPs, we have developed and opensourced a collection of advanced tools and libraries that simplify the implementation of ZKP-based solutions. We also offer practical guidance and best practices for developers and researchers working in this field, aiming to accelerate the development and real-world impact of modern zero-knowledge proof systems.

Heera Wali, Vishal Kulkarni, Rajashekar Ganiger, Nalini C. Iyer

This study investigates how blockchain technology can be used in the automotive industry and society, with a focus on addressing privacy concerns and compliance issues. The study investigates the application of privacy-preserving methods, including zero-knowledge proofs and anonymous credentials, to protect vehicle data shared with servers and prevent V2X channel spam. The proposed blockchain ecosystem involves collaborations among stakeholders like governmental bodies and automotive industry participants to ensure user privacy, implementation employs Ethereum[5], circom, and ezkl for practical realization, the study demonstrates the potential of blockchain and [7] Zero Knowledge Proofs in overcoming challenges, promoting a more secure digital environment.

Surya Mathialagan, Spencer Peters, Vinod Vaikuntanathan

No abstract is available for this record.