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  1. INTRODUCTION
  2. Technology Overview

RvltPROTOCOL

© 2025 REVOLT V.1.0

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Last updated 2 months ago

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REVOLT Chain: AI-Enhanced BlockDAG Protocol

Fundamental Definitions:

  1. Directed Acyclic Graph (DAG): G = (C, E)

    • C: Set of blocks

    • E: Hash references (edges) between blocks

  2. k-cluster: A subset S of C where for every block B in S, |S ∩ anticone(B)| ≤ k

    • anticone(B): Blocks in C unreachable from B and not including B

    • k: Predetermined parameter crucial for cluster formation

AI-Optimized Maximum k-cluster SubDAG (MCSk) Problem:

Input: DAG G = (C, E) Output: Maximal subset S ⊆ C where ∀B ∈ S, |S ∩ anticone(B)| ≤ kAI Enhancement: REVOLT Chain employs machine learning algorithms to dynamically adjust the k parameter based on network conditions, optimizing cluster formation and enhancing scalability.Example: Identifying the largest 3-cluster in a DAGConsider blocks A, B, C, D, F, G, I, J (blue-coded):

  • Each blue block has max 3 other blue blocks in its anticone

  • This set is the largest possible adhering to the condition

XETA PHANTOM Protocol with AI:

  • Inter-connectivity parameter: k = 3

  • AI-predicted max blocks per time unit: 4

  • Expected anticone size: ≤ 3 blocks

AI-Driven Adversarial Detection: Blocks E, H, K (red-coded) are flagged as potential adversarial actions:

  • Block E: 6 blue blocks in anticone (B, C, D, F, G, I) AI analysis: High probability of intentional withholding

  • Block K: 6 blue blocks in anticone (B, C, G, F, I, J) AI analysis: Likely protocol violation, suggesting malicious intent

AI-Enhanced Protocol Features:

  1. Dynamic k-Adjustment: AI algorithms analyze network traffic and adjust k in real-time, optimizing performance and security.

  2. Predictive Block Generation: Machine learning models predict optimal block generation rates, reducing conflicts and improving throughput.

  3. Anomaly Detection: AI constantly monitors the DAG structure, flagging potential adversarial actions with high accuracy.

  4. Smart Clustering: Advanced clustering algorithms enhance the efficiency of the MCSk problem solution, improving scalability.

  5. Adaptive Security Measures: AI-driven security protocols automatically adjust to counter emerging threats and attack patterns.

By integrating AI into the core of its BlockDAG protocol, REVOLT Chain achieves superior scalability, security, and adaptability compared to traditional blockchain systems. This innovative approach allows the network to evolve and optimize its performance continuously, staying ahead of potential threats while maintaining high efficiency.