EShield: Protect Smart Contracts against Reverse Engineering
Smart contracts are the back-end programs of blockchain-based applications and the execution results are deterministic and publicly visible. Developers are unwilling to release source code of some smart contracts to generate randomness or for security reasons, however, attackers still can use reverse engineering tools to decompile and analyze the code. Due to the special architecture of Ethereum virtual machine and expensive gas cost, it is difficult to apply existing anti-reverse techniques on other platforms to Ethereum smart contracts. In this paper, we propose EShield, an automated security enhancement tool for protecting smart contracts against reverse engineering. EShield replaces original instructions of operating jump addresses with anti-patterns to interfere with control flow recovery from bytecode. We have implemented four methods in EShield and conducted an experiment on over 20k smart contracts. The evaluation results show that all the protected smart contracts are resistant to three different reverse engineering tools with little extra gas cost.
Wed 22 JulDisplayed time zone: Tijuana, Baja California change
16:30 - 17:33 | TOOL DEMOTool Demonstration at Zoom Chair(s): Owolabi Legunsen Cornell University Public Live Stream/Recording. Registered participants should join via the Zoom link distributed in Slack. | ||
16:30 7mTalk | CPSDebug: A Tool for Failure Explanation Tool Demonstration Ezio Bartocci Technische Universität Wien, Niveditha Manjunath Vienna University of Technology, Leonardo Mariani University of Milano Bicocca, Cristinel Mateis AIT Austrian Institute of Technology GmbH, Dejan Nickovic Austrian Institute of Technology, Fabrizio Pastore University of Luxembourg | ||
16:37 7mTalk | Crowdsourced Requirements Generation for Automatic Testing via Knowledge Graph Tool Demonstration | ||
16:44 7mTalk | EShield: Protect Smart Contracts against Reverse Engineering Tool Demonstration Wentian Yan Peking University, Jianbo Gao Peking University, Zhenhao Wu Peking University and Boya Blockchain Inc, Yue Li Peking University, Zhi Guan Peking University, Qingshan Li Peking University, Zhong Chen | ||
16:51 7mTalk | Echidna: Effective, Usable, and Fast Fuzzing for Smart Contracts Tool Demonstration Gustavo Grieco Trail of Bits, Will Song Trail of Bits, Artur Cygan Trail of Bits, Josselin Feist Trail of Bits, Alex Groce Northern Arizona University | ||
16:58 7mTalk | FineLock: Automatically Refactoring Coarse-grained Locks into Fine-grained Locks Tool Demonstration Yang Zhang Hebei University of Science and Technology, Shuai Shao Hebei University of Science and Technology, Juan Zhai Rutgers University, Shiqing Ma Rutgers University, USA | ||
17:05 7mTalk | ObjSim: Lightweight Automatic Patch Prioritization via Object Similarity Tool Demonstration Ali Ghanbari Iowa State University Pre-print | ||
17:12 7mTalk | ProFL: A Fault Localization Framework for Prolog Tool Demonstration George Thompson North Carolina A&T State University, Allison Sullivan The University of Texas at Arlington | ||
17:19 7mTalk | TauJud: Test Augmentation of Machine Learning in Judicial Documents Tool Demonstration Zichen Guo Nanjing University, Jiawei Liu Nanjing University, Tieke He Nanjing University, Zhuoyang Li Nanjing University, Peitian Zhangzhu Nanjing University | ||
17:26 7mTalk | Test Recommendation System Based on Slicing Coverage Filtering Tool Demonstration Ruixiang Qian State Key Laboratory for Novel Software Technology, Nanjing University, Yuan Zhao State Key Laboratory for Novel Software Technology, Nanjing University, Duo Men State Key Laboratory for Novel Software Technology, Nanjing University, Yang Feng Nanjing University, Qingkai Shi The Hong Kong University of Science and Technology, Yong Huang State Key Laboratory for Novel Software Technology, Nanjing University, Zhenyu Chen Nanjing University DOI | ||