Predicting the Effectiveness of Blockchain Bug Bounty Programs

Ed Marcavage, Jake Mason, Chen Zhong
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Abstract

Bug bounty programs have proven to be an effective means for organizations to incentivize ethical hackers to report security vulnerabilities in their software. As the use of blockchain-based applications has grown, bug bounty programs have been established to identify vulnerabilities in these applications, such as smart contracts. However, bug bounty programs face unique challenges in encouraging ethical hackers. In this study, we collected data from about 200 bug bounty programs related to blockchain software from multiple bug bounty platforms. We analyzed the content of these programs and examined the involvement of ethical hackers, with the aim of examining the effectiveness of the current bug bounty programs for blockchain software. Additionally, we extracted various features from the content and format of the bug bounty programs and utilized them to construct a regression model that predicts the effectiveness of a program in drawing in ethical hackers. Our work is a fundamental step towards developing effective strategies for incentivizing ethical hackers in the blockchain domain.
预测区块链漏洞赏金计划的有效性
漏洞赏金计划已被证明是组织激励道德黑客报告其软件安全漏洞的有效手段。随着基于区块链的应用程序的使用不断增长,已经建立了漏洞赏金计划来识别这些应用程序中的漏洞,例如智能合约。然而,漏洞赏金计划在鼓励道德黑客方面面临着独特的挑战。在这项研究中,我们收集了来自多个漏洞赏金平台的大约200个与区块链软件相关的漏洞赏金程序的数据。我们分析了这些程序的内容,并检查了道德黑客的参与,目的是检查区块链软件当前漏洞赏金计划的有效性。此外,我们从漏洞赏金计划的内容和格式中提取了各种特征,并利用它们构建了一个回归模型,该模型预测了该计划在吸引道德黑客方面的有效性。我们的工作是朝着制定有效的策略来激励b区块链领域的道德黑客迈出的重要一步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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