Ethereum Layer 2 Scaling Network Starknet Aims to Improve Decentralization of ZK-rollup Solution

Introduction

Ethereum layer 2 scaling network Starknet has announced plans to enhance the decentralization of its zero-knowledge proof rollup solution, known as ZK-rollup. The network aims to address centralized elements in order to improve robustness and defend against censorship.

Centralization Concerns

Starknet's protocol currently relies on StarkWare for key processes such as creating L2 blocks, computing proofs, and initiating layer 1 state updates to the Ethereum blockchain. While this centralization is not inherently negative, as StarkWare cannot steal money or execute invalid state transitions, Starknet aims to decentralize its protocol to combat potential censorship and single point of failure issues.

Combating Censorship

Starknet seeks to tackle intentional censorship and non-robust systems through decentralization. By decentralizing different components of its system, Starknet aims to maximize participation and reduce the risk of censorship.

Decentralizing the Components

Decentralizing block production, the proving layer, and the process of L1 state updates are crucial for achieving true decentralization. Starknet recognizes the challenges associated with decentralizing each component and is actively working on solutions.

A Novel Approach

Starknet prides itself on being the first rollup to present a comprehensive solution for decentralizing the proving layer. While other ZK-rollups aggregate transactions into proofs and rely on central entities, Starknet aims to transfer its own decentralization to rollup solutions.

Focus on Security and Values

While some users may have philosophical concerns about the centralized components of layer 2 solutions, Starknet emphasizes that decentralization enhances security. The network values decentralization for its intrinsic benefits rather than solely for commercial reasons.

Testing and Implementation

Starknet is currently in the process of outlining the testing and implementation of decentralized mechanics. This will likely involve interconnected test nets to assess the functionality of different components simultaneously.