toplogo
Sign In

Securing Ethereum Mempools Against Asymmetric Denial-of-Service Attacks with SAFERAD


Core Concepts
This paper presents the first formal definitions of mempool security under asymmetric denial-of-service (DoS) attacks, and proposes a secure mempool design called SAFERAD that provably protects against both eviction-based and locking-based DoS attacks.
Abstract
This paper addresses the problem of securing Ethereum mempools against asymmetric denial-of-service (DoS) attacks. It makes the following key contributions: Formulates two abstract paradigms of mempool DoS attacks - eviction-based and locking-based attacks. Based on these, it defines two mempool security properties: β-eviction safety and γ-locking safety. Presents SAFERAD, a secure mempool design that provably achieves both eviction- and locking-safety. SAFERAD's security stems from upper-bounding the attack damage under locking DoS and lower-bounding the attack cost under eviction DoS. Implements a SAFERAD prototype on Geth and evaluates its performance and utility by replaying real-world Ethereum transaction traces. The results show SAFERAD incurs negligible overhead in latency and validator revenue. The paper provides the first formal treatment of mempool security and offers a provably secure solution to protect Ethereum mempools against asymmetric DoS attacks.
Stats
The total transaction fees in the end state of the mempool and blockchain must be higher than the total fees in the initial state by a multiplicative factor β under eviction-based DoS attacks. The total fees of declined transactions must be lower than the total fees of transactions in the mempool and blocks by a multiplicative factor γ under locking-based DoS attacks.
Quotes
"A disabled mempool feeding zero transactions to downstream block validators or MEV (maximal extractable value) searchers can force the blockchain to produce empty blocks, as observed in recent incidents [11]." "Empty blocks reduce validator revenue and undermine their incentive, leading to shrinking blockchain size and increasing the practicality of 51% attacks."

Deeper Inquiries

How can the SAFERAD framework be extended to handle more complex mempool management policies beyond the simple fee-based admission control

To extend the SAFERAD framework for more complex mempool management policies, we can introduce additional criteria for transaction admission and eviction beyond simple fee-based controls. One approach could be to incorporate transaction priority levels based on factors like transaction size, gas limit, or historical behavior. By assigning different priority levels to transactions, the mempool can prioritize certain types of transactions over others, ensuring critical transactions are processed efficiently. Furthermore, the framework can be enhanced to include dynamic policy adjustments based on network conditions, such as congestion levels or gas prices. Adaptive algorithms can be implemented to optimize mempool management in real-time, ensuring optimal performance under varying circumstances. Additionally, incorporating machine learning or AI algorithms can enable the system to learn and adapt to evolving attack strategies, enhancing its resilience against emerging threats.

What are the potential trade-offs between the security guarantees provided by SAFERAD and the overall system performance and user experience

The trade-offs between the security guarantees provided by SAFERAD and overall system performance and user experience are crucial considerations in blockchain systems. Performance: Implementing stringent security measures, such as SAFERAD, may introduce additional computational overhead and latency in transaction processing. While ensuring mempool security is paramount, excessive processing delays can impact user experience and overall system efficiency. Balancing security with performance optimization is essential to maintain a seamless user experience. Resource Utilization: Robust security measures like SAFERAD may require additional computational resources and memory allocation to enforce complex admission and eviction policies. This can lead to increased resource consumption, potentially affecting scalability and system stability. Efficient resource management and optimization strategies are necessary to mitigate these impacts. User Experience: Striking a balance between security and user experience is critical. While stringent security measures enhance protection against attacks, they should not compromise transaction throughput or responsiveness. User-centric design principles should guide the implementation of security mechanisms to ensure a smooth and intuitive experience for blockchain users.

How can the insights from this work on mempool security be applied to secure other critical components in decentralized blockchain systems

The insights gained from mempool security research can be applied to secure other critical components in decentralized blockchain systems by leveraging similar principles and methodologies. Consensus Protocols: The concepts of asymmetric DoS attacks and security guarantees can be extended to consensus protocols to enhance their resilience against malicious actors. By designing secure admission and validation mechanisms, consensus algorithms can better withstand attacks and maintain the integrity of the blockchain network. Smart Contracts: Applying the principles of SAFERAD to smart contract execution can improve the security of decentralized applications (DApps). By implementing robust admission controls and transaction validation mechanisms, smart contracts can mitigate vulnerabilities and prevent unauthorized access or manipulation. Network Security: Insights from mempool security can inform the development of network-level defenses against routing attacks, eclipse attacks, and other network-based threats. By integrating proactive security measures and anomaly detection techniques, blockchain networks can enhance their overall security posture and protect against malicious activities.
0
visual_icon
generate_icon
translate_icon
scholar_search_icon
star