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arxiv logo>cs> arXiv:2309.11332
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Computer Science > Cryptography and Security

arXiv:2309.11332 (cs)
[Submitted on 20 Sep 2023 (v1), last revised 21 Sep 2023 (this version, v2)]

Title:Software Compartmentalization Trade-Offs with Hardware Capabilities

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Abstract:Compartmentalization is a form of defensive software design in which an application is broken down into isolated but communicating components. Retrofitting compartmentalization into existing applications is often thought to be expensive from the engineering effort and performance overhead points of view. Still, recent years have seen proposals of compartmentalization methods with promises of low engineering efforts and reduced performance impact. ARM Morello combines a modern ARM processor with an implementation of Capability Hardware Enhanced RISC Instructions (CHERI) aiming to provide efficient and secure compartmentalization. Past works exploring CHERI-based compartmentalization were restricted to emulated/FPGA prototypes.
In this paper, we explore possible compartmentalization schemes with CHERI on the Morello chip. We propose two approaches representing different trade-offs in terms of engineering effort, security, scalability, and performance impact. We describe and implement these approaches on a prototype OS running bare metal on the Morello chip, compartmentalize two popular applications, and investigate the performance overheads. Furthermore, we show that compartmentalization can be achieved with an engineering cost that can be quite low if one is willing to trade off on scalability and security, and that performance overheads are similar to other intra-address space isolation mechanisms.
Comments:12th Workshop on Programming Languages and Operating Systems (PLOS 2023)
Subjects:Cryptography and Security (cs.CR); Operating Systems (cs.OS)
Cite as:arXiv:2309.11332 [cs.CR]
 (orarXiv:2309.11332v2 [cs.CR] for this version)
 https://doi.org/10.48550/arXiv.2309.11332
arXiv-issued DOI via DataCite

Submission history

From: John Alistair Kressel [view email]
[v1] Wed, 20 Sep 2023 14:07:20 UTC (1,571 KB)
[v2] Thu, 21 Sep 2023 08:14:29 UTC (1,571 KB)
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