Reproduce “A Placement Vulnerability Study in Multi-tenant Public Clouds” on OpenResearch
Turn your favorite coding agents into research agents that review literature, develop hypotheses, and run experiments.
Universal app for Apple silicon and Intel. Requires macOS 11 or later.
About this paper
Venkatanathan Varadarajan, Yinqian Zhang, Thomas Ristenpart, Michael Swift
The authors test whether attackers can find co-resident virtual machines in three cloud providers using shared-memory-bus contention as a placement signal. They measure changes in receiver performance and public web-service latency, and compare launch strategies with a modeled random-placement reference. Selected strategies reach a 1.0 success rate versus 0.10, but results cover specific configurations and do not show secret extraction.
Summary by alphaXiv.
Tip: change arxiv.org to autoarxiv.org in any arXiv abstract link to open the paper here.