Nik Defense: An AI-Based Mechanism for Countering Selfish Mining Attacks in Bitcoin

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Introduction

Bitcoin has emerged as a leading cryptocurrency, with its decentralized network relying on miners to validate transactions through a consensus protocol. A critical flaw in Bitcoin's mining protocol is its susceptibility to selfish mining attacks, where nodes with high computational power exploit the system to gain unfair rewards. This paper proposes Nik Defense, an AI-powered mechanism leveraging Learning Automata Theory to mitigate such attacks.

How Selfish Mining Works

Selfish miners manipulate the blockchain by:

  1. Hiding newly mined blocks from the public chain.
  2. Creating private forks to outpace honest miners.
  3. Triggering unnecessary orphan blocks, disrupting network fairness.

Nik Defense Mechanism

Our solution addresses these issues through:

1. Dynamic Weight Allocation

2. Adaptive Fork Resolution

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Key Advantages

Simulation Results

| Metric | Nik Defense | Tie-Breaker |
|-----------------------|-------------|-------------|
| Profit Threshold | +40% | Baseline |
| Attacker Revenue | -30% | No Change |

FAQs

Q1: Why is selfish mining a threat to Bitcoin?

A1: It undermines decentralization by rewarding malicious actors disproportionately, risking centralization of mining power.

Q2: How does Nik Defense differ from previous solutions?

A2: Unlike static rules (e.g., Tie-Breaker), it uses AI-driven adaptation to evaluate network conditions dynamically.

Q3: Can this mechanism be integrated into existing blockchains?

A3: Yes, its lightweight design allows seamless implementation via a soft fork.

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Conclusion

Nik Defense sets a new standard for incentive-compatible mining protocols, combining AI’s adaptability with blockchain’s transparency. Future work will explore its applications in Ethereum and other PoW-based systems.