Decentralized finance attacks are malicious actions targeting vulnerabilities within decentralized applications (dApps) or smart contracts. These exploits can result in the theft of user funds, manipulation of market prices, or disruption of protocol operations. Common attack vectors include reentrancy exploits, flash loan attacks, and oracle manipulation. Understanding these threats is crucial for assessing the risk profile of DeFi protocols and safeguarding digital capital.
Context
The persistent occurrence of decentralized finance attacks remains a primary concern for users and developers, driving discussions on auditing practices, bug bounties, and insurance protocols. A significant debate revolves around the responsibility for user losses and the development of more robust security standards within the DeFi ecosystem. Future attention will likely focus on formal verification methods and advanced threat detection systems to mitigate these risks.
This research establishes a rigorous, abstract model for Maximal Extractable Value, enabling formal security proofs for blockchain protocols and smart contracts.
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