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Mitigating Frontrunning Attacks in Ethereum

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Blindly Signed Contracts: Anonymous On-Blockchain and Off-Blockchain Bitcoin Transactions

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Healthcare Data Gateways: Found Healthcare Intelligence on Blockchain with Novel Privacy Risk Control

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Neural networks: A comprehensive foundation

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Controllable and trustworthy blockchain-based cloud data management

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A Blockchain Connected Gateway for BLE-Based Devices in the Internet of Things

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Deep learning approach for cyberattack detection

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A multi-layer perceptron approach for flow-based anomaly detection

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When privacy meets economics: Enabling differentially-private battery-supported meter reporting in smart grid

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Privacy-Preserving Content-Oriented Wireless Communication in Internet-of-Things

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Blockchain: A Panacea for Healthcare Cloud-Based Data Security and Privacy?

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The SRI IDES statistical anomaly detector

inferredcites →https://doi.org/10.1109/sp40000.2020.00040openalex-snapshot

Flash Boys 2.0: Frontrunning in Decentralized Exchanges, Miner Extractable Value, and Consensus Instability

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Decentralizing Privacy: Using Blockchain to Protect Personal Data

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Privacy-Preserving Energy Trading Using Consortium Blockchain in Smart Grid

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Differential Privacy-Based Blockchain for Industrial Internet-of-Things

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Cost-friendly Differential Privacy for Smart Meters: Exploiting the Dual Roles of the Noise

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Distributed Blockchain-Based Data Protection Framework for Modern Power Systems Against Cyber Attacks

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Seeing is understanding

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Long Short-Term Memory

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Inverse spectral problems for non-selfadjoint second-order differential operators with Dirichlet boundary conditions

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Bitcoin: A Peer-to-Peer Electronic Cash System

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Scikit-learn: Machine Learning in Python

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Applicability of Intrusion Detection System on Ethereum Attacks: A Comprehensive Review

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Behavioral Analysis Of Ethereum Fraudulent Transactions Using Supervised COFAIS Framework

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Leveraging LLMs for Front-Running Attack Detection in Ethereum

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MEV Detection for Ethereum Security: An Empirical Analysis on Agreement and Scalability

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Maximal Extractable Value in Decentralized Finance: Taxonomy, Detection, and Mitigation

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Statically Checking Transaction Ordering Dependency in Ethereum Smart Contracts

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FIRST: FrontrunnIng Resistant Smart ConTracts

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A Novel Temporal CNN Model to Predict Malicious Transactions in Ethereum Blockchain

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Simulation of Front-Running Attacks and Privacy Mitigations in Ethereum Blockchain

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Análise de Ataques Sanduíche sob as Transações da Blockchain Ethereum

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Impacto do Paradigma de Separação Proponente-Construtor em Ataques Sanduíche na Rede Ethereum

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