waerhert

19 hari yang laludiscuss

On the outside it looks very similar to what Michael Levin found on electrical communication between living cells. There too, the organism's cells were able to structure and repair their larger-scale morphology: https://www.youtube.com/watch?v=XheAMrS8Q1c

waerhert

5 bulan yang laludiscuss

Agreed! And also,

  Total capacitance in series is 1/C1 + 1/C2, while in parallel is C1 + C2.
  Total inductance in series is L1 + L2, while in parallel is 1/L1 + 1/L2

waerhert

5 bulan yang laludiscuss

Nice approach! On Ubuntu 24.04 I had to loosen some AppArmor protections by creating a file:

  > cat /etc/apparmor.d/bwrap 
  #include <tunables/global>                                                       
                                                                                  
  /usr/bin/bwrap flags=(unconfined) {                                              
    userns,                                                                        
  }

waerhert

5 bulan yang laludiscuss

Great read, thanks for sharing this. I'm also coming from software and have recently started making some hardware for personal use in my free time. The idea of selling it as an actual product has occurred to me, but the thought of dealing with all the logistics quickly makes me reconsider. Congrats on your launch!

waerhert

6 bulan yang laludiscuss

https://svendewaerhert.com/blog/

waerhert

7 bulan yang laludiscuss

Isn't DDC the I2C bus? Interesting article about that here: https://mitxela.com/projects/ddc-oled

waerhert

7 bulan yang laludiscuss

Very cool, thanks for sharing! Any ideas of adding 2 gimbal motors to this for GOTO? MS6010v3 or something lighter would seem like a good fit.

waerhert

8 bulan yang laludiscuss

It's not limited to WiFi networks and indeed the fingerprints you suggest would be a lot better because they would change significantly over time. The whole WiFi networks idea kinda stuck because it's an obvious an easy thing to grab from the environment using a mobile phone. An audio fingerprint would definitely be doable on mobile.

waerhert

8 bulan yang laludiscuss

I see, this sheds some new light on your initial concerns. I'm aware an attacker can keep pretending to be inside an environment once they've seen it. I wasn't accounting for a scenario where an attacker has a huge database for queries like coords -> list of wifi networks. I was under the assumption services like Wigle only provided the reverse lookup (wifi -> coords). Indeed an attacker could potentially reverse the LSH tags if it hashed the wifi environment within very small geofences. It's bit of a needle & haystack problem but not an impossible one with enough resources. I wouldn't say it's a perfect system and I don't mind it falling apart under scrutiny, I just found it an interesting idea so I really appreciate you thinking along here.

Edit: Maybe some preshared group hash (kinda beats the point), or combining multiple modalities (eg bluetooth, shared interests) or some kind of proof of work token could help mitigate some of these issues. I guess anything to reduce the time to attack helps in this case? Or anything that really pins down environment + time, like what smath described in his comment. In essence, the core idea of minhash + lsh works and it doesn't limit you to just wifi networks. The key is being able to grab a fingerprint that is unique enough and different enough each epoch. Wifi networks are just easy enough to grab vs something more low level like an APs beacon timing interval jitter or something.

waerhert

8 bulan yang laludiscuss

Thanks for the heads up! Good to know what's out there. Interesting that I independently arrived at something possibly similar.

waerhert

8 bulan yang laludiscuss

Thanks for the feedback! Rainbow tables probably won't work here since the epoch (rounded to 5 minutes) salts everything, so precomputed tables would expire constantly. You would use use BSSIDs + SSID in real implementations. The MinHash part creates 128 hash values from the entire observed set, not a subset of 3, then LSH divides these into bands where similar sets collide probabilistically based on Jaccard similarity. I've tested with two phones where one saw 3-4 networks and the other saw ~10. They still found each other, and you can try it in the interactive demo yourself. You're right it's not entirely privacy preserving, really depends on your threat model as I discuss in the security section. Your idea about combining area hints with time-based salts is interesting though, feels like it could bridge geospatial indexing with this approach! The whole geospatial indexing thing was something I became aware of late in the project and didn't go into further. It's probably a much simpler approach if geolocation is important. In the current approach, geolocation doesn't matter at all, only 'the environment', whatever that may be.

Submissions

Receiving Natural VLF Radio Signals

Optical guitar pickup for nylon strings using fork light barriers

Nearby peer discovery without GPS using environmental fingerprints

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