Investigating Sustainability and Anonymity Enhancements in Dark Web Interactions Through Blockchain and Deep Learning Technologies
摘要
The “dark web,” which most people can’t access, is notorious for its links to illegal activities and secret business agreements. Blockchain technology is used by online businesspeople to hide their identity. This study examines how dark web-compatible blockchain-based privacy solutions have been modified. In this research work to shows how decentralized networks may withstand complicated attacks and safeguard user privacy. To explain blockchain technology and how it may help dark web users maintain privacy. Blockchain technology’s cryptography mechanisms are examined to show why they safeguard user privacy. To examine blockchain’s many dark web anonymity options and “Mixing services” includes zero-knowledge proofs, ring signatures, and onion routing protocols. Each technique’s benefits and downsides, dark web uses are discussed. In this research work discusses dark web privacy-protecting blockchain strategies and platforms. Scalability issues, regulatory hurdles, and blockchain’s ever-changing landscape are examined to determine the technology’s direction.