SoK: Not Quite Water Under the Bridge: Review of Cross-Chain Bridge Hacks
October 28, 2022 Β· Declared Dead Β· π International Conference on Blockchain
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Sung-Shine Lee, Alexandr Murashkin, Martin Derka, Jan Gorzny
arXiv ID
2210.16209
Category
cs.CR: Cryptography & Security
Citations
67
Venue
International Conference on Blockchain
Last Checked
5 months ago
Abstract
The blockchain ecosystem has evolved into a multi-chain world with various blockchains vying for use. Although each blockchain may have its own native cryptocurrency or digital assets, there are use cases to transfer these assets between blockchains. Systems that bring these digital assets across blockchains are called bridges, and have become important parts of the ecosystem. The designs of bridges vary and range from quite primitive to extremely complex. However, they typically consist of smart contracts holding and releasing digital assets, as well as nodes that help facilitate user interactions between chains. In this paper, we first provide a high level breakdown of components in a bridge and the different processes for some bridge designs. In doing this, we identify risks associated with bridge components. Then we analyse past exploits in the blockchain ecosystem that specifically targeted bridges.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β Cryptography & Security
R.I.P.
π»
Ghosted
R.I.P.
π»
Ghosted
The Limitations of Deep Learning in Adversarial Settings
R.I.P.
π»
Ghosted
Distillation as a Defense to Adversarial Perturbations against Deep Neural Networks
R.I.P.
π»
Ghosted
Spectre Attacks: Exploiting Speculative Execution
R.I.P.
π»
Ghosted
How To Backdoor Federated Learning
R.I.P.
π»
Ghosted
Evasion Attacks against Machine Learning at Test Time
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted