mc-oblivious | ORAM and related for Intel SGX enclaves
kandi X-RAY | mc-oblivious Summary
kandi X-RAY | mc-oblivious Summary
mc-oblivious is a Rust library. mc-oblivious has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. You can download it from GitHub.
Oblivious RAM is a class of data structures designed to avoid information leaks over memory access pattern side-channels, introduced in [Goldreich '96]. Tree-based ORAM was introduced in a seminal paper [Shi, Chan, Stefanov, Li '11]. Tree-based ORAM algorithms arrange their data in a complete balanced binary tree, and are the first and only class of algorithms to have good (poly-log) worst-case performance. The first oblivious RAM algorithm that attracted significant interest from practicioners was Path ORAM [Shi, Stefanov, Li '13]. Circuit ORAM appeared in [Wang, Chan, Shi '16]. ORAM can in principle be used in several ways, and many papers in ORAM consider several of the application modes: - A user can use it to interact with (untrusted) cloud storage and make use of storage without leaking access patterns. - It can be implemented in hardware in the "secure processor" setting, such that the "ORAM controller / client" is implemented in silicon, and the main memory corresponds to the "server". - It can be implemented in software in a "secure enclave", such that the "ORAM controller / client" is the enclave, and the main memory corresponds to the "server". - It can be implemented in a compiler pass that transforms arbitrary code into code that leaks nothing via its memory access patterns, but runs more slowly. As explained, in this repository we are focused on the SGX-based approach, which was first described in the ZeroTrace paper [Sasy, Gorbunuv, Fletcher '17].
Oblivious RAM is a class of data structures designed to avoid information leaks over memory access pattern side-channels, introduced in [Goldreich '96]. Tree-based ORAM was introduced in a seminal paper [Shi, Chan, Stefanov, Li '11]. Tree-based ORAM algorithms arrange their data in a complete balanced binary tree, and are the first and only class of algorithms to have good (poly-log) worst-case performance. The first oblivious RAM algorithm that attracted significant interest from practicioners was Path ORAM [Shi, Stefanov, Li '13]. Circuit ORAM appeared in [Wang, Chan, Shi '16]. ORAM can in principle be used in several ways, and many papers in ORAM consider several of the application modes: - A user can use it to interact with (untrusted) cloud storage and make use of storage without leaking access patterns. - It can be implemented in hardware in the "secure processor" setting, such that the "ORAM controller / client" is implemented in silicon, and the main memory corresponds to the "server". - It can be implemented in software in a "secure enclave", such that the "ORAM controller / client" is the enclave, and the main memory corresponds to the "server". - It can be implemented in a compiler pass that transforms arbitrary code into code that leaks nothing via its memory access patterns, but runs more slowly. As explained, in this repository we are focused on the SGX-based approach, which was first described in the ZeroTrace paper [Sasy, Gorbunuv, Fletcher '17].
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mc-oblivious has a low active ecosystem.
It has 43 star(s) with 8 fork(s). There are 21 watchers for this library.
It had no major release in the last 12 months.
There are 0 open issues and 4 have been closed. On average issues are closed in 21 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of mc-oblivious is v2.2.0
Quality
mc-oblivious has no bugs reported.
Security
mc-oblivious has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
mc-oblivious is licensed under the GPL-3.0 License. This license is Strong Copyleft.
Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.
Reuse
mc-oblivious releases are available to install and integrate.
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mc-oblivious Key Features
No Key Features are available at this moment for mc-oblivious.
mc-oblivious Examples and Code Snippets
No Code Snippets are available at this moment for mc-oblivious.
Community Discussions
No Community Discussions are available at this moment for mc-oblivious.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install mc-oblivious
You can download it from GitHub.
Rust is installed and managed by the rustup tool. Rust has a 6-week rapid release process and supports a great number of platforms, so there are many builds of Rust available at any time. Please refer rust-lang.org for more information.
Rust is installed and managed by the rustup tool. Rust has a 6-week rapid release process and supports a great number of platforms, so there are many builds of Rust available at any time. Please refer rust-lang.org for more information.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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