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Are the Police Using Smart-Home IoT Devices to Spy on People? - Schneier on Security
"IoT devices are surveillance devices, and manufacturers generally use them to collect data on their customers. Surveillance is still the business model of the Internet, and this data is used against the customers' interests: either by the device manufacturer or by some third party the manufacturer sells the data to. Of course, this data can be used by the police as well; the purpose depends on the country. "
Bruce-Schneier  IoT  public-safety 
13 hours ago by pierredv
AV-TEST | independent research institute for IT security
The AV-TEST GmbH is the independent research institute for IT security from Germany. For more than 15 years, the experts from Magdeburg have guaranteed quality-assuring comparison and individual tests of virtually all internationally relevant IT security products.

One of the largest collections of digital malware samples in the world, the Institute's own research department, as well as intensive collaboration with other institutions, guarantee tests on an internationally recognized level and at the current state of the art. AV-TEST utilizes analysis systems developed in-house for its tests, thus guaranteeing test results uninfluenced by third parties and comprehensible at all times for all standard operating systems and platforms.

AV-TEST is also active in the fields of security of IoT and eHealth products, applications for mobile devices, as well as in the field of data security of applications and services.

In this, the AV-TEST Institute regularly makes its latest tests and current research findings available to the public free of charge on its website. This helps users in product selection, manufacturers towards product optimization and the media in publications. What's more, the Institute advises industry associations, companies and government institutions on issues of IT security.
CertificationAuthority  tests  iot  Software  Apps  review  Independent 
19 hours ago by abetancort
Trust Indicators for Emerging Technologies – The Waving Cat
I wrote up some thoughts on Trust Indicators for Emerging Tech: How can we translate the gu…
iot  ethics 
yesterday by tamberg
The IoT needs a new set of eyes • IEEE Spectrum
Stacey Higginbotham:
<p>two challenges [are] driving the silicon shift. First, processing power: Many of these [IoT] cameras try to identify specific objects by using machine learning. For example, an oil company might want a drone that can identify leaks as it flies over remote oil pipelines. Typically, training these identification models is done in the cloud because of the enormous computing power required. Some of the more ambitious chip providers believe that in a few years, not only will edge-based chips be able to match images using these models, but they will also be able to train models directly on the device.

That’s not happening yet, due to the second challenge that silicon providers face. Comparing images with models requires not just computing power but actual power. Silicon providers are trying to build chips that sip power while still doing their job. Qualcomm has one such chip, called Glance, in its research labs. The chip combines a lens, an image processor, and a Bluetooth radio on a module smaller than a sugar cube.

Glance can manage only three or four simple models, such as identifying a shape as a person, but it can do it using fewer than 2 milliwatts of power. Qualcomm hasn’t commercialized this technology yet, but some of its latest computer-vision chips combine on-chip image processing with an emphasis on reducing power consumption.

But does a camera even need a lens? Researchers at the University of Utah suggest not, having invented a lensless camera that eliminates some of a traditional camera’s hardware and high data rates. Their camera is a photodetector against a pane of plexiglass that takes basic images and converts them into shapes a computer can be trained to recognize.

This won’t work for jobs where high levels of detail are important, but it could provide a cheaper, more power-efficient view of the world for computers fulfilling basic functions.</p>

If you know the lens's distortion, you can adjust for it in software.
Iot  camera  software 
yesterday by charlesarthur
Awair tracks invisible fine dust and chemicals in your air and gives you personalized recommendations to help you stay safe and healthy.
air  home  health  iot 
yesterday by kiranmaxweber

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