Detect and Isolate an Adversary in Fakey and Griefing-R Attack on Lightning Network

Off-chain payment solutions, called layer-2 solutions, address scalability issues in the blockchain. They help to process transactions faster and reduce the computational cost of the blockchain. In the Lightning Network, the popular off-chain solution, multi-hop payment is performed using HTLCs. Two prominent attacks against HTLCs are the Fakey attack, where an adversary manipulates the payment key, and the Griefing-R attack, where an adversary refuses to provide the preimage of a payment hash to its predecessor node. Both these attacks exhaust channel capacities of routing nodes and lead to reduced throughput. We propose a scheme using cryptographic commitments and signatures that detects an adversary performing any of these attacks and punishes the adversary by isolating it from the network. We implement the proposed scheme using the LND implementation of the Lightning Network. Further, we analyze the correctness of the scheme.

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Publication Details

Published
2024-08-19
DOI
https://doi.org/10.1109/blockchain62396.2024.00083
Citations
1
Primary Topic
Advanced Malware Detection Techniques
Type
article
Field-Weighted Citation Impact
0.35
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article

Detect and Isolate an Adversary in Fakey and Griefing-R Attack on Lightning Network

Prerna Arote, Joy Kuri
1 citations
Advanced Malware Detection Techniques
0.35
article

Detect and Isolate an Adversary in Fakey and Griefing-R Attack on Lightning Network

Prerna Arote, Joy Kuri
article en
1 citations

Abstract

Off-chain payment solutions, called layer-2 solutions, address scalability issues in the blockchain. They help to process transactions faster and reduce the computational cost of the blockchain. In the Lightning Network, the popular off-chain solution, multi-hop payment is performed using HTLCs. Two prominent attacks against HTLCs are the Fakey attack, where an adversary manipulates the payment key, and the Griefing-R attack, where an adversary refuses to provide the preimage of a payment hash to its predecessor node. Both these attacks exhaust channel capacities of routing nodes and lead to reduced throughput. We propose a scheme using cryptographic commitments and signatures that detects an adversary performing any of these attacks and punishes the adversary by isolating it from the network. We implement the proposed scheme using the LND implementation of the Lightning Network. Further, we analyze the correctness of the scheme.

Indian Institute of Science Bangalore (IN)
Openalex Percentile: Top 45%
Advanced Malware Detection Techniques
0.35
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Detect and Isolate an Adversary in Fakey and Griefing-R Attack on Lightning Network — Prerna Arote, Joy Kuri · (2024) | TGRS Research Map | TGRS