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The Staggering Cost to Attack Bitcoin and Ethereum

Byzantine Fault Tolerance

Byzantine Fault Tolerance (BFT) is a crucial concept in blockchain security. It refers to a system’s ability to maintain consensus even when some participants act maliciously or are faulty. In simpler terms, it’s the ability of a network to continue operating correctly even if some of its nodes are compromised or malfunctioning.

This concept is crucial in understanding the security of blockchains like Bitcoin and Ethereum. These systems are designed to withstand a certain level of “Byzantine failures” while ensuring the integrity of transactions and the overall network stability.

Proof-of-Work and Proof-of-Stake

Different blockchains implement BFT in different ways. Bitcoin utilizes a Proof-of-Work (PoW) consensus mechanism, requiring participants to solve complex mathematical problems to add blocks to the chain. Ethereum, after “The Merge,” transitioned to a Proof-of-Stake (PoS) system where participants stake their cryptocurrency to validate transactions and secure the network.

Both PoW and PoS have their strengths and weaknesses. PoW is energy-intensive but has proven to be robust, while PoS is more energy-efficient but introduces complexities regarding validator behavior and potential vulnerabilities.

Quantifying the Cost of Attack

The study referenced in this article introduces a new metric called Total Cost to Attack (TCA). TCA measures the financial resources required to compromise a blockchain network by breaching its BFT threshold. This includes both capital expenditures (CapEx), like acquiring mining hardware or staking cryptocurrency, and operational expenditures (OpEx), such as electricity costs or node maintenance.

Bitcoin: ASICs and Electricity

For Bitcoin, the CapEx would involve acquiring a majority of the network’s hashrate, primarily through the purchase of Application-Specific Integrated Circuits (ASICs), specialized hardware designed for Bitcoin mining. The analysis considers different scenarios, including buying existing ASICs, accounting for price increases due to market demand, and even manufacturing ASICs.

The OpEx for Bitcoin primarily consists of electricity costs to power these ASICs. The research estimates these costs based on the power consumption of various ASIC models and the global average electricity price.

Ethereum: Staking and Cloud Resources

For Ethereum, the CapEx is the cost of acquiring enough ETH to control 34% of the staking power. This involves buying a significant portion of the staked ETH, considering market liquidity and the impact of such a large purchase on ETH’s price.

The OpEx in Ethereum relates to the cost of running the necessary node infrastructure. This involves renting cloud computing resources and storage to operate validator nodes, factoring in the number of nodes required and the attack duration.

Challenges of Attacking Bitcoin and Ethereum

Attacking Bitcoin and Ethereum at the BFT level has become increasingly difficult and costly. The sheer scale of resources required, the risks of detection and potential retaliation, and the limited profitability of such attacks contribute to the impracticality of these endeavors.

Monetization Challenges

Even if an attacker successfully breaches the BFT threshold, monetizing the attack is not straightforward. Double-spend attacks, while theoretically possible, require targeting victims with substantial funds, and the attacker needs to cover the significant cost of the attack itself. MEV extraction, while profitable, is unlikely to yield enough returns to justify the expense of a BFT attack.

Ideological Challenges

Ideologically motivated attacks face even greater obstacles. The decentralized nature of Bitcoin and Ethereum allows for community-driven countermeasures, including software updates and social coordination, to mitigate the impact of an attack. Moreover, the difficulty of achieving a permanent disruption and the threat of retaliation further deter potential attackers.

The Future of Blockchain Security

While BFT attacks remain a concern, other attack vectors warrant attention. These include:

  • Centralization of Block Templating: The growing influence of mining pools in Bitcoin and the role of MEV infrastructure in Ethereum raise concerns about potential manipulation of block content and censorship risks.
  • Liquid Staking Derivatives: The rise of LSDs in Ethereum, while offering benefits, introduces a level of abstraction in the staking process, potentially concentrating power and creating new attack vectors.

The ongoing development of blockchain security requires vigilance, community engagement, and continuous innovation to address these evolving challenges and ensure the long-term robustness of these decentralized systems.

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