Shikage: An Anti-Rug Liquidity Locker

The Shikage whitepaper was written and released by the Shikage core team in Q4 2025, aiming to address the current challenges of blockchain technology in scalability and privacy protection by proposing an innovative solution to enable a high-performance, highly private decentralized application ecosystem.

The theme of the Shikage whitepaper is “Shikage: A High-Performance Privacy Computing Network for the Future.” What makes Shikage unique is its combination of zero-knowledge proofs and sharding technology to build a blockchain architecture that balances transaction throughput and data privacy; the significance of Shikage lies in providing secure, efficient, and trustworthy infrastructure for Web3 applications, promoting the adoption and development of decentralized privacy computing.

Shikage’s original intention is to resolve the inherent contradiction in existing blockchains between handling large-scale concurrent transactions and protecting user data privacy. The core viewpoint presented in the Shikage whitepaper is: by integrating advanced privacy computing protocols and innovative consensus mechanisms, Shikage can achieve unprecedented scalability and privacy protection while ensuring decentralization and security, offering users and developers a truly free and efficient digital environment.

Interested researchers can access the original Shikage whitepaper. Shikage whitepaper link: https://shikage.space/wp-content/uploads/2022/01/V0.1-WP.pdf

Shikage whitepaper summary

Author: Julian Hartmann

Last updated: 2025-11-25 05:19

The following is a summary of the Shikage whitepaper, expressed in simple terms to help you quickly understand the Shikage whitepaper and gain a clearer understanding of Shikage.

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Disclaimer: The above interpretations are the author's personal opinions. Please verify the accuracy of all information independently. These interpretations do not represent the platform's views and are not intended as investment advice. For more details about the project, please refer to its whitepaper.