@inproceedings{b0c3bfbcf13b4e47b51b60d3b997f6f8,
title = "Poster: SigRec-Automatic Recovery of Function Signatures in Smart Contracts",
abstract = "Millions of contracts deployed onto Ethereum provide various services that can be invoked. For this purpose, blockchain users need to know and specify the function signature of a callee, which includes its function id and the parameter types. Function signatures are crucial in several applications, such as recognizing the services that contracts provide. In this poster, we propose a novel solution that leverages how functions are handled by Ethereum virtual machine (EVM) to automatically recover function signatures from contract bytecode, without the need of source code and function signature databases. The extensive experimental results show that our solution outperforms all existing tools, achieving an unprecedented 98.7\% accuracy within 0.074 seconds. We further demonstrate the usefulness of our solution in attack detection, fuzzing and reverse engineering of contract bytecode.",
keywords = "Ethereum, automatic recovery, function signature, smart contract, type aware symbolic execution",
author = "Ting Chen and Zihao Li and Xiapu Luo and Xiaofeng Wang and Ting Wang and Zheyuan He and Kezhao Fang and Yufei Zhang and Hang Zhu and Hongwei Li and Yan Cheng and Xiaosong Zhang",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 43rd IEEE International Conference on Distributed Computing Systems, ICDCS 2023 ; Conference date: 18-07-2023 Through 21-07-2023",
year = "2023",
doi = "10.1109/ICDCS57875.2023.00127",
language = "English",
series = "Proceedings - International Conference on Distributed Computing Systems",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1065--1066",
booktitle = "Proceedings - 2023 IEEE 43rd International Conference on Distributed Computing Systems, ICDCS 2023",
}