Mitigating 51% Attacks in Blockchain Systems Through Early Detection and Checkpoint-Based Defense

📅 2026-09-13
📈 Citations: 0
Influential: 0
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🤖 AI Summary
本文通过早期哈希算力监控和基于检查点的防御机制,提出了一种两层防御策略来缓解区块链系统中的51%攻击问题。
📝 Abstract
The 51% attack remains one of the significant security concern in Proof-of-Work (PoW) blockchains, where increasing hash-power concentration can create a malicious majority-control risk and enable adversarial chain reorganization. This paper proposes a two-layer defense that combines early hash-power monitoring with checkpoint-based mitigation. The first layer monitors mining-power concentration and provides an early warning before the critical majority-control threshold is reached. The second layer uses checkpointing to restrict the depth of accepted chain reorganizations. Monte Carlo simulations are used to evaluate both mechanisms under different attack scenarios. Across 1,000 simulation runs, a 45% warning threshold provided a mean warning-to-critical lead time of 10.531 minutes before the modeled 50% critical threshold was reached. At the selected checkpoint depth of N = 6, approximately 63.68% of simulated reorganization attempts were rejected, while the mean reorganization-depth outcome decreased from 7.948 to 1.634 blocks, representing an approximately 79.4% reduction. The results demonstrate that early detection and checkpoint-based mitigation provide complementary mechanisms for reducing the potential impact of 51% attacks under the evaluated conditions.
Problem

Research questions and friction points this paper is trying to address.

51% attack
Proof-of-Work
blockchain security
hash-power concentration
Innovation

Methods, ideas, or system contributions that make the work stand out.

Early Detection
Checkpoint-Based Defense
Hash-Power Monitoring
Blockchain Security
51% Attack Mitigation
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V
Victor Kebande
University of Colorado, Boulder CO, 80309, USA & University of Colorado Denver, CO, USA