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---WiFi Vision: X-Ray Vision using ambient WiFi signals now possible---
“X-Ray Vision” using WiFi signals isn’t new, though previous methods required knowledge of specific WiFi transmitter placements and connection to the network in question. These limitations made WiFi vision an unlikely security breach, until now.
Cybersecurity researchers at the University of California and University of Chicago have succeeded in detecting the presence and movement of human targets using only ambient WiFi signals and a smartphone.
The researchers designed and implemented a 2-step attack: the 1st step uses statistical data mining from standard off-the-shelf smartphone WiFi detection to “sniff” out WiFi transmitter placements. The 2nd step involves placement of a WiFi sniffer to continuously monitor WiFi transmissions.
Three proposed defenses to the WiFi vision attack are Geofencing, WiFi rate limiting, and signal obfuscation.
Geofencing, or reducing the spatial range of WiFi devices, is a great defense against the attack. For its advantages, however, geofencing is impractical and unlikely to be adopted by most, as the simplest geofencing tactic would also heavily degrade WiFi connectivity.
WiFi rate limiting is effective against the 2nd step attack, but not against the 1st step attack. This is a simple defense to implement, but because of the ubiquity of IoT devices, it is unlikely to be widely adopted as it would reduce the usability of such devices.
Signal obfuscation adds noise to WiFi signals, effectively neutralizing the attack. This is the most user-friendly of all proposed defenses, with minimal impact to user WiFi devices. The biggest drawback to this tactic is the increased bandwidth of WiFi consumption, though compared to the downsides of the other mentioned defenses, signal obfuscation remains the most likely to be widely adopted and optimized for this kind of attack.
For more info, please see journal article linked below.
https://arxiv.org/pdf/...9 -
**idea** => implemented.
An android application which aims to track Emergency Response Vehicles(e.g. Ambulance, Firetrucks) nearby.
Any suggestions, feature ideas are welcomed.
If you wish to contribute:
https://github.com/MakrandBhale/...
P.S. I'm new to Git.
21 -
I am put to the task of creating a Chat Robot in ChatFuel.
Cool, I thought at first.
Cool is not what I would call it at this point..one week later.
The size is a factor at play, for sure, it needs to point to 27 cities and give individual information, handle e-mails, phone, automate e-mails.. a bunch of stuff.
Now, I am located in Sweden.
{{city}} as a set user attribute acknowledges Gothenburg and geolocation thusly worked fine for my boss. But not for me, and won't work for any other city.
So..Global AI calling for static blocks it is... 27 blocks...
For two languages.. 54 blocks...
Static pointing to the first answer for every individual block multiplies this by a factor of two. 108 static blocks. Fine.
I have since realized that my ChatFuel-Luddite ways were limiting the expected performance of the end result and learned that most other set attributes in ChatFuel work fine. Yay.
So we set up everything the last 54 blocks need to do with user attributes and to my surprise it works, really well at that. The answer from a user that is a correct city puts you into a block that is a series of questions using user attributes, both {{first_name}} and {{last_name}}, asks for e-mail and phone, displays an image and stuff like that.
Now.. as I attempt to copy these blocks..
THEY JUST POOP OUT CHUNKS OF THE ORIGINAL BLOCK. IT'S INCONSISTENCY IS STAGGERING. IT NEVER REALLY COMPLETES THE DUPLICATION, NO ERROR MESSAGE OR ANYTHING.
Which then reminded me of when my boss asked why everything was botched earlier in the project, at that point I copied the entire bot as a fallback and worked with my change in the copy first for safety reasons, didn't work, copy wasn't entire.
Wasted fucking hours on this.
I'm glad my boss is cool, and the job is easily worth it. I actually think that the design aspect of ChatFuel is nice, and the people behind it are kind in the facebook group and all. I don't think they're trying to be mean. But holy shit.
This has been a mental anguish that levels pissing bleach filled with fire ants.
" You could've easily solved this with APIs and third-party geofencing services ", yeah, but their services won't stack for the customer, nice attempt though.
Deep breaths.
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