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内容的真实性构成了重大威胁。本文提出了一种基于区块链的去中心化系统的综合框架，旨在应对数字内容真实性日益严峻的挑战。该系统将先进的深度学习算法与区块链技术不可篡改、透明公开的特性相结合，构建了一个无需信任的环境，在此环境中无需依赖单一中心化权威机构即可验证内容真伪。此外，系统利用智能合约实现动态算法管理，并引入基于代币的激励机制，进一步提升了系统的有效性与适应性。其去中心化架构不仅实现了数字内容验证过程的民主化，还提出了一种打击深度伪造的全新方法。该系统的协作性与可调节性为数字媒体内容真实性树立了新标杆，从而营造出更加可靠的数字媒体环境。