Cache Timing Vulnerability Score (CTVS)

Cache Timing Vulnerability Score (CTVS) 数据集由耶鲁大学的研究团队创建，旨在评估处理器缓存对基于时间的攻击的脆弱性。该数据集包含1094个自动生成的测试程序，覆盖了88种理论上的缓存时间攻击漏洞。通过这些测试，可以生成一个Cache Timing Vulnerability Score，用以量化特定缓存实现对不同攻击的脆弱程度。数据集的应用领域主要集中在帮助新安全处理器缓存的设计者评估其设计的脆弱性，并开发相应的防御措施。

The Cache Timing Vulnerability Score (CTVS) dataset was developed by a research team at Yale University, with the goal of evaluating the vulnerability of processor caches to timing-based attacks. This dataset includes 1,094 automatically generated test programs, covering 88 theoretical cache timing attack vulnerabilities. Through these tests, a Cache Timing Vulnerability Score can be generated to quantify the vulnerability level of a specific cache implementation against diverse attacks. The primary application of this dataset is to assist designers of new secure processor caches in evaluating the vulnerability of their designs and developing corresponding defensive measures.