arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2005.04368cs.CR

HACK3D:众包评估数字制造中的网络安全

HACK3D: Crowdsourcing the Assessment of Cybersecurity in Digital Manufacturing

Michael Linares, Nishant Aswani, Gary Mac, Chenglu Jin, Fei Chen, Nikhil Gupta, Ramesh Karri

AI总结:

针对数字制造信息物理系统易受网络与物理攻击的问题,本研究总结三届HACK3D众包红蓝队活动经验,提出分类法指导的数字制造安全基准,助力社区评估设计安全强度。

摘要:

数字制造(DM)信息物理系统易受网络和物理攻击。HACK3D是纽约大学网络安全中心主办的一系列众包红队-蓝队活动,旨在评估数字制造设计中嵌入的安全方法的强度。本研究总结了过去三届HACK3D活动的经验教训,包括熟练工程师对数字制造设计发起此前未预料到的意外攻击的巧妙方式。一个关键成果是基于分类法创建了供数字制造社区使用的数字制造安全基准。

英文摘要:

Digital manufacturing (DM) cyber-physical system is vulnerable to both cyber and physical attacks. HACK3D is a series of crowdsourcing red-team-blue-team events hosted by the NYU Center for Cybersecurity to assess the strength of the security methods embedded in designs using DM. This study summarizes the lessons learned from the past three offerings of HACK3D, including ingenious ways in which skilled engineers can launch surprising attacks on DM designs not anticipated before. A key outcome is a taxonomy-guided creation of DM security benchmarks for use by the DM community.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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