Deepfake technology is a major threat to the integrity of digital media. This paper presents a comprehensive framework for a blockchain-based decentralized system designed to tackle the escalating challenge of digital content integrity. The proposed system integrates advanced deep learning algorithms with the immutable and transparent nature of blockchain technology to create a trustless environment where authenticity can be verified without relying on a single centralized authority. Furthermore, the system utilizes smart contracts for dynamic algorithm management and token-based incentives further enhances the system's effectiveness and adaptability. The decentralized architecture of the system democratizes the process of verifying digital content and introduces a novel approach to combat deepfakes. The collaborative and adjustable nature of this system sets a new benchmark for digital media integrity, offering a more robust digital media environment.

翻译：深度伪造技术对数字媒体的完整性构成重大威胁。本文提出了一种基于区块链的全面去中心化系统框架，旨在应对数字内容完整性日益严峻的挑战。该系统将先进的深度学习算法与区块链技术不可篡改且透明的特性相结合，构建出一个无需信任的环境，使真实性验证无需依赖单一中心化权威机构。此外，该系统利用智能合约实现动态算法管理，并通过代币激励机制进一步增强系统的有效性和适应性。系统的去中心化架构使数字内容验证过程去中心化，并提出了一种应对深度伪造的新型方案。该系统的协作性与可调节性为数字媒体完整性设立了新基准，为构建更稳健的数字媒体环境提供了有力支撑。