Security reinforcement for Ethereum virtual machine

Ma, Fuchen; Ren, Meng; Fu, Ying; Wang, Mingzhe; Li, Huizhong; Song, Houbing; Jiang, Yu

doi:10.1016/j.ipm.2021.102565

Cited by 26 publications

(6 citation statements)

References 20 publications

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“…Blockchain is a chained data structure that sequentially combines data blocks in a chronological order. Each block is composed of a block header and a block body [27], as shown in Figure 1. Each block header contains the hash value of the previous block, and it is connected to the current block from the genesis block to form a chained data storage structure.…”

Section: Blockchainmentioning

confidence: 99%

Research on Blockchain-Based Cereal and Oil Video Surveillance Abnormal Data Storage

Zhang,

Cui,

et al. 2023

Agriculture

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Cereal and oil video surveillance data play a vital role in food traceability, which not only helps to ensure the quality and safety of food, but also helps to improve the efficiency and transparency of the supply chain. Traditional video surveillance systems mainly adopt a centralized storage mode, which is characterized by the deployment of multiple monitoring nodes and a large amount of data storage. It is difficult to guarantee the data security, and there is an urgent need for a solution that can achieve the safe and efficient storage of cereal and oil video surveillance data. This study proposes a blockchain-based abnormal data storage model for cereal and oil video surveillance. The model introduces a deep learning algorithm to process the cereal and oil video surveillance data, obtaining images with abnormal behavior from the monitoring data. The data are stored on a blockchain after hash operation, and InterPlanetary File System (IPFS) is used as a secondary database to store video data and alleviate the storage pressure on the blockchain. The experimental results show that the model achieves the safe and efficient storage of cereal and oil video surveillance data, providing strong support for the sustainable development of the cereal and oil industry.

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Section: Blockchainmentioning

confidence: 99%

Research on Blockchain-Based Cereal and Oil Video Surveillance Abnormal Data Storage

Zhang,

Cui,

et al. 2023

Agriculture

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“…The Ethereum Virtual Machine (EVM) [17] is responsible for executing instructions within the network, similar to the processors in our computers and smartphones. It can be connected to the processors found in our computers or smartphones that carry out user-initiated commands and store them within the network.…”

Section: B Evmmentioning

confidence: 99%

A Framework Solution for Vehicle Theft Detection by Integrating NFC With a Blockchain-Based System

Leka,

Lamani,

Hamzallari

2023

TEM Journal

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Vehicle theft is a widespread and costly problem with thousands of cars stolen annually, impacting privacy, the economy, and security. Conventional database systems have proven unreliable, enabling a thriving market for stolen vehicles. In response, our study presents an innovative solution, leveraging the security of blockchain technology. By utilizing the Ethereum Virtual Machine (EVM) and Smart Contracts, our system is designed to thwart attacks, including Distributed Denial of Services (DDoS) attacks. Notably, Near Field Communication (NFC) enables the secure transmission of sensitive data for verification. Our research aims to evaluate the real-world impact of this technology, considering factors such as improvements in data security and the efficiency of the reporting process. One of the most notable outcomes of our proposal is the substantial reduction in reporting time for car theft. While conventional reporting typically takes several hours, our system streamlines the process to less than 1 minute. This innovation offers significant benefits to vehicle owners, law enforcement agencies, and the broader community.

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“…Ethereum uses zero-knowledge (ZK) proof technologies, enabling one party to prove his knowledge to another party without actually conveying the information itself. [69] - [72] This privacy-enhancing technique allows Ethereum to be a scaling technology as the amount of information transfer between users will be significantly reduced, and proofs can be verified at a much faster rate. [69] [70]…”

Section: Ethereum Security Primitive/ Operational Principlementioning

confidence: 99%

Quantum solutions to possible challenges of Blockchain technology

Dey¹,

Ghosh²,

Chakrabarti³

2021

Preprint

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Technological advancements of Blockchain and other Distributed Ledger Techniques (DLTs) promise to provide significant advantages to applications seeking transparency, redundancy, and accountability. Actual adoption of these emerging technologies requires incorporating cost-effective, fast, QoS-enabled, secure, and scalable design. With the recent advent of quantum computing, the security of current blockchain cryptosystems can be compromised to a greater extent. Quantum algorithms like Shor's large integer factorization algorithm and Grover's unstructured database search algorithm can provide exponential and quadratic speedup, respectively, in contrast to their classical counterpart. This can put threats on both public-key cryptosystems and hash functions, which necessarily demands to migrate from classical cryptography to quantum-secure cryptography. Moreover, the computational latency of blockchain platforms causes slow transaction speed, so quantum computing principles might provide significant speedup and scalability in transaction processing and accelerating the mining process. For such purpose, this article first studies current and future classical state-of-the-art blockchain scalability and security primitives. The relevant quantum-safe blockchain cryptosystem initiatives which have been taken by Bitcoin, Ethereum, Corda, etc. are stated and compared with respect to key sizes, hash length, execution time, computational overhead, and energy efficiency. Post Quantum Cryptographic algorithms like Code-based, Lattice-based, Multivariate-based, and other schemes are not well suited for classical blockchain technology due to several disadvantages in practical implementation. Decryption latency, massive consumption of computational resources, and increased key size are few challenges that can hinder blockchain performance. We aim to provide the different ways where quantum-aided solutions can overcome the challenges in blockchain

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Security reinforcement for Ethereum virtual machine

Cited by 26 publications

References 20 publications

Research on Blockchain-Based Cereal and Oil Video Surveillance Abnormal Data Storage

Research on Blockchain-Based Cereal and Oil Video Surveillance Abnormal Data Storage

A Framework Solution for Vehicle Theft Detection by Integrating NFC With a Blockchain-Based System

Quantum solutions to possible challenges of Blockchain technology

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