[Software Suggestion] Vuvuzela #637

New Issue

2018-11-27T11:48:29Z

ghost commented

2018-11-27 11:48:29 +00:00

(Migrated from github.com)

Basic Information

Name: Vuvuzela
Category: Instant messenger
URL: https://vuvuzela.io/

Description

Vuvuzela is a private chat application that hides metadata, including who you chat with and when you are chatting. Vuvuzela supports millions of users and is secure even if the network and a majority of the servers are compromised.

Vuvuzela creates noise indistinguishable from normal traffic when you're not communicating to avoid traffic analysis.

## Basic Information **Name:** Vuvuzela **Category:** Instant messenger **URL:** https://vuvuzela.io/ ## Description > Vuvuzela is a private chat application that hides metadata, including who you chat with and when you are chatting. Vuvuzela supports millions of users and is secure even if the network and a majority of the servers are compromised. Vuvuzela creates noise indistinguishable from normal traffic when you're not communicating to avoid traffic analysis. ![Noise](https://vuvuzela.io/static/server.gif)

gjhklfdsa commented

2018-11-28 03:57:34 +00:00

(Migrated from github.com)

Very old-looking UI:

Not that this should keep it from being listed, I just would only have it under "Worth Mentioning".

Very old-looking UI: ![image](https://raw.githubusercontent.com/vuvuzela/vuvuzela/master/screenshots/client.gif) Not that this should keep it from being listed, I just would only have it under "Worth Mentioning".

👍 2

ghost commented

2018-11-28 07:53:50 +00:00

(Migrated from github.com)

I agree. It's probably not ideal for most users. Most users don't really care about (metadata) traffic analysis either.

Mako-L commented

2018-11-28 21:24:33 +00:00

(Migrated from github.com)

Does it have an API?

lrq3000 commented

2020-03-03 13:29:48 +00:00

(Migrated from github.com)

I just wanted to say I have just discovered this software from this reddit post, and it looks highly interesting. I know about differential privacy as for my work it is one of the possibilities we can use to anonymize datasets. It's however still quite experimental, but it already is seeing a few practical applications, such as anonymizing the inputs automatically for deep learning neural networks.

I think it may be a worthy mention, but I can't test it as apparently it's hard to build on Windows (which is what I use currently) and the interface indeed looks old (and the software seems to not be actively maintained anymore since 6 months). Note there was also an unofficial web client but it is now outdated.

I would suggest to reconsider the project if someone comes back to maintain it, as it has a really interesting take on metadata which is mathematically guaranteed via differential privacy.

I just wanted to say I have just discovered this software from this [reddit post](https://www.reddit.com/r/privacytoolsIO/comments/e8ycd0/opinions_on_jami_messenger_e2e_encryption_is_only/fak5amw), and it looks highly interesting. I know about differential privacy as for my work it is one of the possibilities we can use to anonymize datasets. It's however still quite experimental, but it already is seeing a few practical applications, such as anonymizing the inputs automatically for [deep learning neural networks](https://arxiv.org/abs/1607.00133). I think it may be a worthy mention, but I can't test it as apparently it's [hard to build on Windows](https://github.com/vuvuzela/vuvuzela/issues/53) (which is what I use currently) and the interface indeed looks old (and the software seems to not be actively maintained anymore since 6 months). Note there was also an [unofficial web client](https://github.com/jlmart88/vuvuzela-web-client) but it is now outdated. I would suggest to reconsider the project if someone comes back to maintain it, as it has a really interesting take on metadata which is mathematically guaranteed via differential privacy.

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Reference: privacyguides/privacytools.io#637