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InfoSec Person | Alt-Account#2
PR Videos to save you a click:
Nice!
Could you please word it slightly different to provide clarity? Perhaps:
From now on, you can comment !lemmysilver under any post to award the poster one lemmy silver. You can do this once every 24 hours in posts that are in participating communities (see: this post for more information). Alternatively, you can send a PM to LemmySilverBot with
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Ah, I think I misunderstood - the lemmy silver is for one to award to a different user, and not for one to claim? I was under the impression that it was the latter.
Neat idea!
Huh, I hadn’t heard about this idea and a quick search on DDG returned this link: https://www.weforum.org/stories/2022/08/sustainable-data-centre-heating/
Interesting!
I’m unsure whether your formatting messed up, but you shouldn’t have a space between the shebang (#!
) and the interpreter path (/bin/bash
). Also add a new line before your command:
#!/bin/bash
gnome-terminal -- sh -c gotop
I tried this on my system (with htop instead of gotop) and it worked.
https://lemmy.world/post/21426814
A very relevant AskLemmy question I asked a month ago.
Yes, this would essentially be a detecting mechanism for local instances. However, a network trained on all available federated data could still yield favorable results. You may just end up not needing IP Addresses and emails. Just upvotes / downvotes across a set of existing comments would even help.
The important point is figuring out all possible data you can extract and feed it to a “ML” black box. The black box can deal with things by itself.
My bachelor’s thesis was about comment amplifying/deamplifying on reddit using Graph Neural Networks (PyTorch-Geometric).
Essentially: there used to be commenters who would constantly agree / disagree with a particular sentiment, and these would be used to amplify / deamplify opinions, respectively. Using a set of metrics [1], I fed it into a Graph Neural Network (GNN) and it produced reasonably well results back in the day. Since Pytorch-Geomteric has been out, there’s been numerous advancements to GNN research as a whole, and I suspect it would be significantly more developed now.
Since upvotes are known to the instance administrator (for brevity, not getting into the fediverse aspect of this), and since their email addresses are known too, I believe that these two pieces of information can be accounted for in order to detect patterns. This would lead to much better results.
In the beginning, such a solution needs to look for patterns first and these patterns need to be flagged as true (bots) or false (users) by the instance administrator - maybe 200 manual flaggings. Afterwards, the GNN could possibly decide to act based on confidence of previous pattern matching.
This may be an interesting bachelor’s / master’s thesis (or a side project in general) for anyone looking for one. Of course, there’s a lot of nuances I’ve missed. Plus, I haven’t kept up with GNNs in a very long time, so that should be accounted for too.
Edit: perhaps IP addresses could be used too? That’s one way reddit would detect vote manipulation.
[1] account age, comment time, comment time difference with parent comment, sentiment agreement/disgareement with parent commenters, number of child comments after an hour, post karma, comment karma, number of comments, number of subreddits participated in, number of posts, and more I can’t remember.
That’s crazy helpful - thanks!
Perfect, thanks a million! I’ll be getting on them soon!
Could you link the page which shows your exact config at that price? I can’t find anything like that. KVM, AMD, Windows VPS - I looked at all three but none suggest the price you’ve written.
That price sounds like a steal, and I’d love to get it if possible. I currently pay $6/month per VPS with Digital Ocean
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Thank you for your answer :D! I’ll use the equivalent of your national weather service henceforth.
Just out of curiosity, why do you dislike AccuWeather?
Are you talking about this: I have toyota corola?
Not exactly what you asked, but do you know about ufw-blocklist?
I’ve been using this on my multiple VPSes for some time now and the number of fail2ban failed/banned has gone down like crazy. Previously, I had 20k failed attempts after a few months and 30-50 currently-banned IPs at all times; now it’s less than 1k failed after a year and maybe 3-ish banned at any time.
There was also that paid service where users share their spammy IP address attempts with a centralized network, which does some dynamic intelligence monitoring. I forgot the name and search these days isn’t great. Something to do with “Sense”? It was paid, but well recommended as far as I remember.
Edit: seems like the keyword is " threat intelligence platform"