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Cited by 240

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InkTag: secure applications on an untrusted operating system

Open access
Hofmann, Owen S., Kim, Sangman, Dunn, Alan M., Lee, Michael Z., Witchel, Emmett·2013·Proceedings of the eighteenth international conference on Architectural support for programming languages and operating systems

Abstract

InkTag is a virtualization-based architecture that gives strong safety guarantees to high-assurance processes even in the presence of a malicious operating system. InkTag advances the state of the art in untrusted operating systems in both the design of its hypervisor and in the ability to run useful applications without trusting the operating system. We introduce paraverification, a technique that simplifies the InkTag hypervisor by forcing the untrusted operating system to participate in its own verification. Attribute-based access control allows trusted applications to create decentralized access control policies. InkTag is also the first system of its kind to ensure consistency between secure data and metadata, ensuring recoverability in the face of system crashes.

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Metadata

Authors
Hofmann, O. S., Kim, S., Dunn, A. M., Lee, M. Z., & Witchel, E.
Venue
Proceedings of the eighteenth international conference on Architectural support for programming languages and operating systems
Publisher
ACM
Published
2013-03-16
Pages
265-278
OpenAlex
W2150615820
Cited by
240
References
0
FWCI
19.95
Type
conference paper
Language
en
Open access
green

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CoChat. (2026). Citation check: InkTag: secure applications on an untrusted operating system. https://app.cochat.ai/papers/10.1145/2451116.2451146
The paper
Hofmann, O. S., Kim, S., Dunn, A. M., Lee, M. Z., & Witchel, E. (2013). InkTag: secure applications on an untrusted operating system. Proceedings of the eighteenth international conference on Architectural support for programming languages and operating systems. https://doi.org/10.1145/2451116.2451146

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.