A Systematic Analysis of the Science of Sandboxing.¶
Maass, M., Sales, A., Chung, B., & Sunshine, J. (2016). A Systematic Analysis of the Science of Sandboxing. PeerJ Computer Science, 2.
Cited by¶
1 citation across 1 artifact.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Sandboxing
- Software security (origin): syscall filters (seccomp, gVisor), hardware virtualization (Firecracker, QEMU), language-level sandboxes (WebAssembly, browser JavaScript), container runtimes treated as security boundaries.
This sourceSurveys software sandboxing mechanisms and their security properties across system-call interposition, virtualization, and language-level isolation.
Supported in partVerified against the work's full text
Survey of sandboxing research that covers system-call interposition, VMs and language-hosted/browser sandboxes as categories, but names none of the listed tools and does not discuss containers.
“Virtual machines, which run software on simulated hardware separate from the rest of the host system, are commonly used in malware analysis to contain malicious computations”
- Software security (origin): syscall filters (seccomp, gVisor), hardware virtualization (Firecracker, QEMU), language-level sandboxes (WebAssembly, browser JavaScript), container runtimes treated as security boundaries.
Verification¶
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Registry ID ref:f68aa44b0bb5 · see in the full table