A Simulation-Based Framework for Mitigating a 51% Attack on Blockchain Networks

5 min read
Blockchain

Abstract / Introduction

The Proof-of-Work (PoW) consensus mechanism, fundamental to blockchains like Bitcoin, is vulnerable to a "51% attack" where a malicious miner with majority computational power can manipulate the blockchain.

This project implements a proactive defense algorithm named "Safe Mode Detection" to counter this threat. The core idea is to modify the consensus rules to impose a hard limit on consecutive blocks a single miner can produce and to implement a Unspent Transaction Output (UTXO) based comparison mechanism to detect fraudulent chains attempting double-spending utilizing a 51% attack.

Functional Requirements:

  • Implement a blockchain to configure a malicious miner capable of initiating a 51% attack by building a private chain.
  • Implement the "Long Private Chain (LPC)" defense: The system must automatically reject any new block that would create a sequence of six or more consecutive blocks from the same miner on the honest chain.
  • Develop a comprehensive simulation framework to run multiple scenarios: an attack under standard consensus rules, and an attack under the modified consensus rules.
  • Generate and present results analyzing the success rate of attacks, the structure of the final blockchain, and the computational performance of the proposed defense.
    Tools & Technologies
  • Python 3.x, BlockSim (Open
  • source Python
  • based blockchain simulator) or any other simulator to simulate Blockchain, IDE (PyCharm), Jupyter Notebook for analysis, Matplotlib, Seaborn, Pandas for data visualization and analysis

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Faisal Mehmood

Faisal Mehmood Expert in CS619 Final Year Projects and software development.

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