The article discusses the use of blockchain technology to address data privacy and security issues in collaborative machine learning over Internet of Things (IoT) devices. Traditional centralized machine learning models…
Continue readingThe paper conducts an in-depth exploration of Web 3.0, focusing on blockchain, artificial intelligence, and edge computing. The authors summarize the internet evolution and provide an overview of these three…
Continue readingThe article discusses the problem of front-running attacks on Ethereum, a type of security threat where malicious actors monitor other users’ transactions and then submit their own with higher fees…
Continue readingThe paper introduces Reticulum, a new sharding protocol that improves the scalability of blockchain technology. It does this through a two-phase design that adjusts transaction throughput based on adversarial attacks….
Continue readingThe paper proposes a modification to Proof-of-Work (PoW) protocols, named ADESS, to deter double-spend attacks in blockchain. It introduces two novel features: a criteria for identifying an attacker chain by…
Continue readingThe study, conducted by Jiaxi Yang et al., focuses on the challenges faced in querying multi-dimensional metadata on blockchain for selecting participants in Federated Learning (FL). The authors propose a…
Continue readingItyFuzz is a novel snapshot-based fuzzer developed for testing smart contracts. Smart contracts, being critical financial instruments, require robust security measures. However, their testing is challenging due to the persistent…
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