Stay Smarter Than Your Smart Speaker

Smart speakers have always posed a risk to privacy and security — that’s just the price we pay for getting instant answers to life’s urgent and not-so-urgent questions the moment they arise. But it seems that many owners of the 76 million or so smart speakers on the active install list have yet to wake up to the reality that this particular trick of technology requires a microphone that’s always listening. Always. Listening.

With so much of the world’s workforce now working from home due to the global SARS-CoV-2 pandemic, smart speakers have suddenly become a big risk for business, too — especially those where confidential conversations are as common and crucial as coffee.

Imagine the legions of lawyers out there, suddenly thrust from behind their solid-wood doors and forced to set up ramshackle sub rosa sanctuaries in their homes to discuss private matters with their equally out-of-sorts clients. How many of them don’t realize that their smart speaker bristles with invisible thorns, and is even vulnerable to threats outside the house? Given the recent study showing that smart speakers can and do activate accidentally up to 19 times per day, the prevalence of the consumer-constructed surveillance state looms like a huge crisis of confidentiality.

So what are the best practices of confidential work in earshot of these audio-triggered gadgets?

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SOLID Promises A New Approach To How The Web Works

As it stands on the modern Internet, your data is no longer your own. Your emails, photos, and posts all live on servers owned by large corporations. Their policies give them access to your data, which is mined to generate advertising revenue. And if you want your data back, there are innumerable hoops to jump through. Want it deleted entirely? Good luck.

Tim Berners-Lee, original creator of the World Wide Web, is behind the project.

Sir Tim Berners-Lee, as the original creator of what became the Web, has drawn issue with the current state of play. To move the ball on the issue, he’s been working on a design for decentralized internet and the efforts have led to the establishment of the Solid project. The goal is to rectify online privacy and ownership issues and give users greater control over their personal data.

The big question is how do you do that? When SOLID was announced last year there were few if any details on the approach taken by the program. But since then, more details have surface and you can even take an early version of the program for a spin. Let’s take a look.

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Geofence Warrant Sends Bicyclist’s Privacy Over The Handlebars

About a year ago, Zachary McCoy took a bike ride around his neighborhood in Gainesville, Florida. It may have been forgettable to him, but not to history. Because McCoy used an app to track his mileage, the route was forever etched in the Google-verse and attached to his name.

On the day of this ill-fated bike ride, McCoy passed a certain neighbor’s house three times. While this normally wouldn’t raise alarm, the neighbor happened to be the victim of a burglary that day, and had thousands of dollars worth of jewelry stolen. The Gainesville police had zero leads after a four-day investigation, so they went to the county to get a geofence warrant. Thanks to all the location data McCoy had willingly generated, he became the prime suspect.

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Keep The Family At Bay While Working From Home With This WiFi Do Not Disturb Dongle

Those who have been suddenly introduced to the wonderful world of working from home over the last couple of weeks may have experienced a bit of culture shock. Even with today’s open floorplan workspaces and less-formal expectations, work isn’t home. That’s especially true with young children in the house, who’ll probably respond to seeing mommy or daddy working from home much differently than [Bob] from accounting would at the office.

To smooth out the rough spots of transitioning to a full-time work-from-home setup, [Brian Lough] threw together this web-enabled “do not disturb” beacon for his office door. The original idea was to simply provide a red light and a green light to let the rest of the family know when [Brian] would be in a meeting, but in an example of scope creep that turned out to be useful, [Mrs. Lough] rewrote the spec to include a button on the family-facing side so that she could alert him that his presence is requested.

[Brian] went through a couple of prototype using both an ESP32 and an ESP8266. We were rooting for the ESP32, which [Brian] was leveraging for its built-in capacitive touch input. That would have eliminated a physical button, but alas, the ESP8266 made it into the final build, along with lots and lots of Blu-Tack. The video below details the build and the code, and features an adorable Irish lesson as a bonus.

Yes, a simple text message would probably have satisfied the specs, but where’s the sport in that? Then again, as [Brian] points out, this build seemed oddly familiar for a good reason.

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Smart Speakers “Accidentally” Listen Up To 19 Times A Day

In the spring of 2018, a couple in Portland, OR reported to a local news station that their Amazon Echo had recorded a conversation without their knowledge, and then sent that recording to someone in their contacts list. As it turned out, the commands Alexa followed came were issued by television dialogue. The whole thing took a sitcom-sized string of coincidences to happen, but it happened. Good thing the conversation was only about hardwood floors.

But of course these smart speakers are listening all the time, at least locally. How else are they going to know that someone uttered one of their wake words, or something close enough? It would sure help a lot if we could change the wake word to something like ‘rutabaga’ or ‘supercalifragilistic’, but they probably have ASICs that are made to listen for a few specific words. On the Echo for example, your only choices are “Alexa”, “Amazon”, “Echo”, or “Computer”.

So how often are smart speakers listening when they shouldn’t? A team of researchers at Boston’s Northeastern University are conducting an ongoing study to determine just how bad the problem really is. They’ve set up an experiment to generate unexpected activation triggers and study them inside and out.

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Now You Can Be Big Brother Too, With A Raspberry Pi License Plate Reader

If you are wowed by some of the abilities of a Tesla but can’t quite afford one, perhaps you can enhance your current ride with a few upgrades. This was what [Robert Lucian Chiriac] did with his Land Rover, to gain some insight into automotive machine vision he fitted it with a Raspberry Pi and camera with an automatic number plate recognition system.

This bracket should find a use in a few projects.
This bracket should find a use in a few projects.

His exceptionally comprehensive write-up takes us through the entire process, from creating a rather useful set of 3D-printed brackets for a Pi and camera through deciding the combination of artificial intelligence software components required, to making the eventual decision to offload part of the processing to a cloud service through a 4G mobile phone link. In this he used Cortex, a system designed for easy deployment of machine learning models, which he is very impressed with.

The result is a camera in his car that identifies and reads the plates on the vehicles around it. Which in a way has something of the Big Brother about it, but in another way points to a future in which ever more accessible AI applications self-contained without a cloud service become possible that aren’t quite so sinister.  It’s an inevitable progression whose privacy questions may go beyond a Hackaday piece, but it’s also a fascinating area of our remit that should be available at our level.

You can see the system in action in the video below the break, as well as find the code in his GitHub repository.

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Wearable Cone Of Silence Protects You From Prying Ears

Careful,  the walls have ears. Or more specifically, the smart speaker on the table has ears, as does the phone in your pocket, the fitness band on your wrist, possibly the TV, the fridge, the toaster, and maybe even the toilet. Oh, and your car is listening to you too. Probably.

How does one fight this profusion of listening devices? Perhaps this wearable smart device audio jammer will do the trick. The idea is that the MEMS microphones that surround us are all vulnerable to jamming by ultrasonic waves, due to the fact that they have a non-linear response to ultrasonic signals. The upshot of that is when a MEMS hears ultrasound, it creates a broadband signal in the audible part of the spectrum. That creates a staticky noise that effectively drowns out any other sounds the microphone might be picking up.

By why a wearable? Granted, [Yuxin Chin] and colleagues from the University of Chicago have perhaps stretched the definition of that term a tad with their prototype, but it turns out that moving the jammer around does a better job of blocking sounds than a static jammer does. The bracelet jammer is studded with ultrasonic transducers that emit overlapping fields and result in zones of constructive and destructive interference; the wearer’s movements vary the location of the dead spots that result, improving jamming efficacy. Their paper (PDF link) goes into deeper detail, and a GitHub repository has everything you need to roll your own.

We saw something a bit like this before, but that build used white noise for masking, and was affixed to the smart speaker. We’re intrigued by a wearable, especially since they’ve shown it to be effective under clothing. And the effect of ultrasound on MEMS microphones is really interesting.

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