TechNom (nobody)

  • 0 Posts
  • 8 Comments
Joined 1 year ago
Cake day: July 22nd, 2023
  • TechNom (nobody)@programming.devtoLinux@lemmy.ml•Is there a use case for Crowd Strike Falcon on Linux?English
    12·
    4 months ago

    Crowdstrike exists for Linux too. In fact, it apparently crashed RHEL and Debian a few months back. That didn’t get so much attention.

    Falcon seems to be a cross between an antivirus and an intrusion detection system (IDS). There are many antiviruses on Linux, but only one FOSS AV is popular - ClamAV. As for IDS, snort is an example.

    But in the true sense, Falcon is much more than just an AV and IDS. It’s a way to detect breaches and report it back to CrowdStrike’s threat detection and analysis teams. I don’t think there exists a proper alternative even in the commercial sector.

  • TechNom (nobody)@programming.devtoLinux@lemmy.ml•Are we There yet? Current adoption status of various technologiesEnglish
    1·
    4 months ago

    Google has discovered that FOSS software under their full control is better than pure proprietary software for monopoly abuse and rent seeking. With FOSS software, they enjoy the automatic popularity that they otherwise would have had to market very hard for. At the same time, none of Google’s free software is truly free. Google devs regularly neglect and reject overwhelming user requirements (jpegxl in chrome is probably the best example of this) and choose designs that clearly favor the company monetarily. It isn’t even practical for normal people to fork their projects.

    Google often uses their ‘FOSS’ projects to twist open standards or the market to their advantage. Android and Chrome are very significant players in this regard. Using Chrome, Google even managed to make the W3C standard too complicated for others to make alternative browsers easily. Google has similar ambitions in the multimedia market. They want to replace the monopolistic media formats with quasi-monopolistic formats like webp and av1 instead of truly open ones like jpegxl.

  • TechNom (nobody)@programming.devtoLinux@lemmy.ml•Block AI training on a web siteEnglish
    9·
    5 months ago

    We need three four things:

    1. A way to poison the data that will throw off the training without causing perceptible difference to humans. As I remember it, many image AIs were sensitive to a peculiar noise that was imperceptible to humans.
    2. A skiplist of AI data stealers, so that their IPs/domains can be blocked in bulk.
    3. Eventually, the above technique will become useless as AI data stealers will start using dynamic IPs and botnets to bypass the skiplists. We’ll need to throttle or block data to visitors based on pattern recognition. For example, if the visitor requests linked pages in rapid succession. Or if the request interval is uniform or pseudo random, instead of genuinely random.
    4. If the pattern recognition above is triggered, we could even feed the bots with data from AI models, instead of blocking or throttling. Let the AI eat its own s**t.