friday VS noise

Compare friday vs noise and see what are their differences.

friday

Fast image IO and transformations. (by RaphaelJ)

noise

Go implementation of the Noise Protocol Framework (by flynn)
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friday noise
- 7
276 502
- 1.6%
3.0 3.9
11 months ago 2 months ago
Haskell Go
GNU Lesser General Public License v3.0 only GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

friday

Posts with mentions or reviews of friday. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning friday yet.
Tracking mentions began in Dec 2020.

noise

Posts with mentions or reviews of noise. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-15.
  • A simple, (as-of-yet unidentified) asymmetric Authenticated Key Exchange
    1 project | news.ycombinator.com | 26 Mar 2024
    This is Noise IK (possibly with minor differences in the hashing):

    https://noiseprotocol.org/

    Wireguard uses NoiseIK, plus a static public key for the initiator which is encrypted to the agreed-upon-session-key without adding additional round trips. Your protocol simply omits the parts related to the initiator's static public key, because it has none.

  • Show HN: Willow – Open-Source Privacy-Focused Voice Assistant Hardware
    13 projects | news.ycombinator.com | 15 May 2023
    With regard to this:

    > - On the wire/protocol stuff. We're doing pretty rudimentary "open new connection, stream voice, POST somewhere". This adds extra latency and CPU usage because of repeated TLS handshakes, etc. We have plans to use Websockets and what-not to cut down on this.

    I've recently used the Noise protocol[1] to do some encrypted communication between two services I control but separated by the internet.

    It was surprisingly easy!

    [1]: https://noiseprotocol.org/

  • How much secure is my UDP based network protocol?
    3 projects | /r/crypto | 5 May 2023
    Rolling your own initial handshake is hard. Right now I strongly encourage you take a look at the Noise protocol framework. Specifically the XK and IK patterns for identified clients, and the NK pattern for anonymous clients. The best security will be achieved by the XK pattern, but if you need to reduce the number of messages to a minimum IK might be a bit more attractive. (Also, if I recall correctly IK is used by Wireguard, so there's an example to follow).
  • Noise Protocol Framework
    1 project | news.ycombinator.com | 19 Apr 2023
  • Rosenpass – formally verified post-quantum WireGuard
    9 projects | news.ycombinator.com | 28 Feb 2023
    Rosenpass author here;

    There is a confusion about terminology here I think. Mathematical proofs including cryptography proofs use models simplifying reality; i.e. the real practical system might still be susceptible to attacks despite a proof of security.

    For crypto primitives (classic mc eliece, curve25519, ed25519, RSA, etc etc) the standard for proofs is currently showing that they are as hard as some well studied mathematical problem. This is done by showing that an attack on the primitive leads to an attack on the underlying mathematical primitive. The proof for Diffie-Hellman shows that attacking DH leads to an efficient solution for the discrete log problem. I.e. the proof is a reduction to the underlying primitive.

    No primitive is perfectly secure (at least a brute force – i.e. guessing each possibility is possible); there is some probability that the adversary can guess the right key. We call this probability the adversary's advantage. One task in cryptoanalysis is to find better attacks against primitives with a higher advantage; if an attack with a polynomial time average runtime is found, the primitive is broken. Finding a higher non-polynomial attack is still an interesting result.

    The standard for protocols is proving that the protocol is secure assuming the primitives are secure; since multiple primitives are used you basically get a formula deriving an advantage for breaking the entire protocol. The proof is a reduction to a set of primitives.

    We did not build a proof in that gold standard, although we are working on it. We built a proof in the symbolic model – known as a symbolic analysis. This uses the perfect cryptography assumption; i.e. we assumed that the advantages for each primitive are zero. Google "Dolev-Yao-Model".

    This makes the proof much easier; a proof assistant such as ProVerif can basically find a proof automatically using logic programming methods (horn clauses).

    The definitions of security are fairly well understood; unfortunately there is a lot to go into so I can't expand on that here. Looking up "IND-CPA" and "IND-CCA" might be a good start; these are the security games/models of security for asymmetric encryption; you could move on to the models for key exchange algorithms there. Reading the [noise protocol spec](https://noiseprotocol.org/) is also a good start.

  • Whisper: Wraps any Go io.ReadWriter in a secure tunnel using Ed25519/X25519
    5 projects | news.ycombinator.com | 19 Feb 2023
    There is no description of the protocol or of its security goals, so I am making some guesses based on a cursory look at the source and what I imagine this might be for.

    A single symmetric key is derived for both directions, and there is no checking of nonces, so as far as I can tell any message can be dropped, reordered, or replayed in both directions. (Including replaying message from A to B as if they were from B to A.)

    This is a bit like using ECB and likely to lead to fun application-specific attacks like [0].

    This is very much rolling your own crypto, in a dangerous way. I am on the record as being "against" the "don't roll your own crypto" refrain [1], but mostly because it doesn't work: it should discourage people from publishing hand-rolled protocols such as this, but instead people think it means "don't roll your own primitives" and accept the use of "Ed25519/X25519" as probably secure.

    Please read about the Noise framework [2] to get an idea of how much nuance there is to this, and consider using a Go implementation of it [3] instead.

    P.S. This kind of issue is also why I maintain that NaCl is not a high-level scheme [4]: this could have used NaCl and have the exact same issues. libsodium has a couple slightly higher-level APIs that could have helped, secretstream [5] and kx [6], but again please use Noise.

    [0] https://cryptopals.com/sets/2/challenges/13

    [1] https://securitycryptographywhatever.buzzsprout.com/1822302/...

    [2] https://noiseprotocol.org/noise.html

    [3] https://github.com/flynn/noise

    [4] https://words.filippo.io/dispatches/nacl-api/

    [5] https://libsodium.gitbook.io/doc/secret-key_cryptography/sec...

    [6] https://libsodium.gitbook.io/doc/key_exchange

What are some alternatives?

When comparing friday and noise you can also consider the following projects:

freetype-simple - single line text rendering in opengles

willow - Open source, local, and self-hosted Amazon Echo/Google Home competitive Voice Assistant alternative

nanovg - NanoVG Haskell bindings

rosenpass - Rosenpass is a post-quantum-secure VPN that uses WireGuard to transport the actual data.

hip - Haskell Image Processing Library

FastNoise - Fast Portable Noise Library - C# C++ C Java HLSL GLSL JavaScript Rust Go

pcf-font - PCF font parsing and rendering library.

imagemagick - haskell imagemagick bindings

Noise - Coherent noise package in Haskell

whisper - Wraps an io.ReadWriter in a secure tunnel using modern elliptic-curve cryptography.

graphics-drawingcombinators - Combinators for drawing 2D shapes and images in Haskell (using OpenGL)

matplotlib - Haskell bindings for Python's Matplotlib