liboqs
seL4
liboqs | seL4 | |
---|---|---|
11 | 60 | |
1,616 | 4,538 | |
2.0% | 0.9% | |
8.9 | 9.0 | |
6 days ago | 8 days ago | |
C | C | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
liboqs
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Show HN: filippo.io/mlkem768 – Post-Quantum Cryptography for the Go Ecosystem
How about liboqs from OpenQuantumSafe? It includes an implementation of most PQC primitives proposed to date:
https://github.com/open-quantum-safe/liboqs
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2048 Bit RSA and the Year 2030
Part of the issue as a prospective cryptographic user/consumer is that not only do I not know which algorithm(s) should be used, the most likely library https://github.com/open-quantum-safe/liboqs also explicitly states that it shouldn't be used in production.
Hybrid deployment (E.G. with ECC using a curve like 25519) is a great recommendation and probably obvious, far more so than picking a winner among the available post quantum possibly safe algorithms.
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Changing default Openssl signature algorithm and key exchange algorithm to use PQC Dilithium and Kyber
Hi everyone! I am currently trying to modify some settings within OpenSSL. My goal is to change the default algorithms that OpenSSL uses for generating certificates and signatures, as well as the key exchange method. Specifically, I want OpenSSL to default to the ones provided by OQS (https://openquantumsafe.org/), Dilithium and Kyber.
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Ask HN: What's the Status of Post-Quantum (PQC) in TLS and QUIC?
NIST - https://csrc.nist.gov/Projects/post-quantum-cryptography/post-quantum-cryptography-standardization
NSA - https://www.tomshardware.com/news/us-national-security-agency-issues-update-on-crypto-resistant-encryption
ISARA - https://www.isara.com/products/isara-radiate.html
OQS (NIST reports on this) - https://openquantumsafe.org
MSFT - https://www.microsoft.com/en-us/research/project/post-quantum-tls
Wikipedia's take - https://en.wikipedia.org/wiki/Post-quantum_cryptography
- Liboqs - Quantum safe cryptography library (not for production use)
- Liboqs – Quantum safe cryptography research library
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A plan for cybersecurity and grid safety
Efforts: Open Quantum Safe project
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What's the strongest encryption available for Python and which library do you use to implement it?
One thing I will mention for "most secure" is that you could add a second layer of encryption based on liboqs which aims to be quantum resistant (mostly important for asymmetric algorithms, symmetric algorithms are already thought to be quantum resistant). We don't know if any of the quantum resistant algorithms are any good or not. They could all be broken, so only use them as a second layer on top of existing encryption schemes, but if you want "the best", then that's what I would do: use standard tools with the biggest variants of the algorithm and then put a layer of post-quantum crypto on top of it.
- Run a static library in C
- Open Quantum Safe – open-source prototyping of quantum-resistant cryptography
seL4
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From L3 to seL4 what have we learnt in 20 years of L4 microkernels? [video]
> People like to snob Unix but the fact is: the world runs on Unix.
The world you are aware of runs on it.
> Can we really do that much better or is it just hubris?
Yes. Have a look at seL4[1] and Barrelfish too[2], even though that's no longer active. seL4 in particular is powering a lot of highly secure computing systems. There is a surprisingly large sphere outside of Unix/POSIX.
[1] https://sel4.systems/
[2] https://barrelfish.org/
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On the Costs of Syscalls
There are also RTOS-capable microkernels such as seL4[0], with few but extremely fast syscalls[1]. Note times are in cycles, not usec.
0. https://sel4.systems/
1. https://sel4.systems/About/Performance/
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Can the language of proof assistants be used for general purpose programming?
https://sel4.systems
Working on a number of platforms, verified on some. Multicore support is an ongoing effort afaict.
On OS built on this kernel is still subject to some assumptions (like, hardware working correctly, bootloader doing its job, etc). But mostly those assumptions are less of a problem / easier to prove than the properties of a complex software system.
As I understand it, guarantees that seL4 does provide, go well beyond anything else currently out there.
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How to write TEE/Trusted OS for ARM microcontrollers?
Take a look at this: https://sel4.systems/
- Simulation: KI-Drohne der US Air Force eliminiert Operator für Punktemaximierung
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Paragon Graphite is a Pegasus spyware clone used in the US
It's probably have to be seL4 (https://sel4.systems), running on some fully OSS hardware.
There are question marks over much of available RISC-V chips due to chinese producers, so maybe OpenPower based hardware?
Plus, the entire system (motherboard, etc) would need to be manufactured using a good supply chain.
Hmmm, this has probably all been thought through in depth before by others. :)
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Basic SAT model of x86 instructions using Z3, autogenerated from Intel docs
You can use it to (mostly) validate small snippets are the same. See Alive2 for the application of Z3/formalization of programs as SMT for that [1]. As far as I'm aware there are some problems scaling up to arbitrarily sized programs due to a lack of formalization in higher level languages in addition to computational constraints. With a lot of time and effort it can be done though [2].
1. https://github.com/AliveToolkit/alive2
2. https://sel4.systems/
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What are the current hot topics in type theory and static analysis?
Formal methods. This is not in most general-purpose programming languages and probably never will be (maybe we'll see formal methods to verify unsafe code in Rust...) because it's a ton of boilerplate (you have to help the compiler type-check your code) and also extremely complicated. However, formal methods is very important for proving code secure, such as sel4 (microkernel formally verified to not have bugs or be exploitable) which has just received the ACM Software Systems Award 3 days ago.
- Rust Now Available for Real-Time Operating System and Hypervisor PikeOS
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Amiga and AmigaOS should move to ARM.
Today we'd look at seL4.
What are some alternatives?
OpenSSL - TLS/SSL and crypto library
l4v - seL4 specification and proofs
codeql - CodeQL: the libraries and queries that power security researchers around the world, as well as code scanning in GitHub Advanced Security
fprime - F´ - A flight software and embedded systems framework
libsodium - A modern, portable, easy to use crypto library.
nomicon - The Dark Arts of Advanced and Unsafe Rust Programming
cjdns - An encrypted IPv6 network using public-key cryptography for address allocation and a distributed hash table for routing.
CompCert - The CompCert formally-verified C compiler
human_security - simple rsa signing API
InitWare - The InitWare Suite of Middleware allows you to manage services and system resources as logical entities called units. Its main component is a service management ("init") system.
kybertest - CLI to encrypt files using quantum-resistant cryptography
4.4BSD-Lite2 - 4.4BSD Lite Release 2: last Unix operating system from Berkeley