Secure and Privacy-Aware Blockchain Design: Requirements, Challenges and Solutions

Aslam, Sidra; Tošić, Aleksandar; Mrissa, Michaël

doi:10.3390/jcp1010009

Cited by 14 publications

(6 citation statements)

References 101 publications

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“…Public blockchains aim to provide security and privacy for user transactions. However, incidents of thefts and data leaks frequently occur [70]. Figure 6 graph helps evaluate such vulnerabilities and how critical nodes, articulation points, and bridges can be identified in a network.…”

Section: Evaluating Security and Privacymentioning

confidence: 99%

Application of Graph Theory for Blockchain Technologies

Jayabalasamy,

Pujol,

Latha Bhaskaran

2024

Mathematics

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Blockchain technology, serving as the backbone for decentralized systems, facilitates secure and transparent transactional data storage across a distributed network of nodes. Blockchain platforms rely on distributed ledgers to enable secure peer-to-peer transactions without central oversight. As these systems grow in complexity, analyzing their topological structure and vulnerabilities requires robust mathematical frameworks. This paper explores applications of graph theory for modeling blockchain networks to evaluate decentralization, security, privacy, scalability and NFT Mapping. We use graph metrics like degree distribution and betweenness centrality to quantify node connectivity, identify network bottlenecks, trace asset flows and detect communities. Attack vectors are assessed by simulating adversarial scenarios within graph models of blockchain systems. Overall, translating blockchain ecosystems into graph representations allows comprehensive analytical insights to guide the development of efficient, resilient decentralized infrastructures.

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Section: Evaluating Security and Privacymentioning

confidence: 99%

Application of Graph Theory for Blockchain Technologies

Jayabalasamy,

Pujol,

Latha Bhaskaran

2024

Mathematics

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“…Before adding each block to the blockchain, miners accept and verify the transactions using a consensus algorithm such as proof of work. By using proof of work or similar mechanism [15], miners solve very difficult mathematical calculations that should be accepted by other miners on the network [3]. After verifying the correctness of transactions by other miners, a block is appended to the end of the chain [24].…”

Section: Basic Concepts: Blockchain and Dhtmentioning

confidence: 99%

A framework for privacy-aware and secure decentralized data storage

Aslam

Mrissa

2023

COMSIS J

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Blockchain technology gained popularity thanks to its decentralized and transparent features. However, it suffers from a lack of privacy as it stores data publicly and has difficulty to handle data updates due to its main feature known as immutability. In this paper, we propose a decentralized data storage and access framework that combines blockchain technology with Distributed Hash Table (DHT), a role-based access control model, and multiple encryption mechanisms. Our framework stores metadata and DHT keys on the blockchain, while encrypted data is managed on the DHT, which enables data owners to control their data. It allows authorized actors to store and read their data in a decentralized storage system. We design REST APIs to ensure interoperability over the Web. Concerning data updates, we propose a pointer system that allows data owners to access their update history, which solves the issue of data updates while preserving the benefits of using the blockchain. We illustrate our solution with a wood supply chain use case and propose a traceability algorithm that allows the actors of the wood supply chain to trace the data and verify product origin. Our framework design allows authorized users to access the data and protects data against linking, eavesdropping, spoofing, and modification attacks. Moreover, we provide a proof of-concept implementation, security and privacy analysis, and evaluation for time consumption and scalability. The experimental results demonstrate the feasibility, security, privacy, and scalability of the proposed solution.

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“…Blockchain technology, specifically private blockchains, relies on collaborative maintenance by multiple nodes in the network to ensure transparency and security of transaction and smart contract data. However, there are vulnerabilities that can be exploited by attackers to undermine the integrity of the blockchain network [31]. This section highlights some of the potential attacks that can occur in a private blockchain environment.…”

Section: Blockchain Vulnerabilitiesmentioning

confidence: 99%

Bridge of Trust: Cross Domain Authentication for Industrial Internet of Things (IIoT) Blockchain over Transport Layer Security (TLS)

Ghajar

Reich

2023

Electronics

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The Industrial Internet of Things (IIoT) holds significant potential for improving efficiency, quality, and flexibility. In decentralized systems, there are no trust-based centralized authentication techniques, which are unsuitable for distributed networks or subnets, as they have a single point of failure. However, in a decentralized system, more emphasis is needed on trust management, which presents significant challenges in ensuring security and trust in industrial devices and applications. To address these issues, industrial blockchain has the potential to make use of trustless and transparent technologies for devices, applications, and systems. By using a distributed ledger, blockchains can track devices and their data exchanges, improving relationships between trading partners, and proving the supply chain. In this paper, we propose a model for cross-domain authentication between the blockchain-based infrastructure and industrial centralized networks outside the blockchain to ensure secure communication in industrial environments. Our model enables cross authentication for different sub-networks with different protocols or authentication methods while maintaining the transparency provided by the blockchain. The core concept is to build a bridge of trust that enables secure communication between different domains in the IIoT ecosystem. Our proposed model enables devices and applications in different domains to establish secure and trusted communication channels through the use of blockchain technology, providing an efficient and secure way to exchange data within the IIoT ecosystem. Our study presents a decentralized cross-domain authentication mechanism for field devices, which includes enhancements to the standard authentication system. To validate the feasibility of our approach, we developed a prototype and assessed its performance in a real-world industrial scenario. By improving the security and efficiency in industrial settings, this mechanism has the potential to inspire this important area.

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Secure and Privacy-Aware Blockchain Design: Requirements, Challenges and Solutions

Cited by 14 publications

References 101 publications

Application of Graph Theory for Blockchain Technologies

Application of Graph Theory for Blockchain Technologies

A framework for privacy-aware and secure decentralized data storage

Bridge of Trust: Cross Domain Authentication for Industrial Internet of Things (IIoT) Blockchain over Transport Layer Security (TLS)

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