Year: 2015
Type: preprint
Abstract: The massive parallelism and resource sharing embodying today's cloud business model not only exacerbate the security challenge of timing channels, but also undermine the viability of defenses based on resource partitioning. We propose hypervisor-enforced timing mitigation to control timing channels in cloud environments. This approach closes "reference clocks" internal to the cloud by imposing a deterministic view of time on guest code, and uses timing mitigators to pace I/O and rate-limit potential information leakage to external observers. Our prototype hypervisor is the first system to mitigate timing-channel leakage across full-scale existing operating systems such as Linux and applications in arbitrary languages. Mitigation incurs a varying performance cost, depending on workload and tunable leakage-limiting parameters, but this cost may be justified for security-critical cloud applications and data.
Source: arXiv (Cornell University)
Authors: Wu, Weiyi, Ford, Bryan
Institutions: Yale University, École Polytechnique Fédérale de Lausanne
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Funder: National Science Foundation
OpenAlex ID: W2414284170