Lifeboat Foundation

Ben-Gurion University of the Negev (BGU) cyber security researchers have developed a new attack called Malboard evades several detection products that are intended to continuously verify the user’s identity based on personalized keystroke characteristics.

The new paper, “Malboard: A Novel User Keystroke Impersonation Attack and Trusted Detection Framework Based on Side-Channel Analysis,” published in the Computer and Security journal, reveals a sophisticated attack in which a compromised USB keyboard automatically generates and sends malicious keystrokes that mimic the attacked user’s behavioral characteristics.

Keystrokes generated maliciously do not typically match human typing and can easily be detected. Using artificial intelligence, however, the Malboard attack autonomously generates commands in the user’s style, injects the keystrokes as malicious software into the keyboard and evades detection. The keyboards used in the research were products by Microsoft, Lenovo and Dell.

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“Hello? Who’s calling?” For many Americans these days, the call is coming from a “bot” or automated program that seeks to trick them into giving up money or important personal data.

The scourge of “robocalls” by the billions has prompted US regulators to adopt new rules allowing carriers to implement tools to block calls with suspicious origins.

The automated calls may tell respondents that they owe back taxes or other bills that need to be settled immediately, or direct them to call numbers where they are charged for the connection.

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And your insurance might even cover the cost.

Who are you really talking to?

AT&T Labs will begin selling speech software it says is so good at reproducing sounds, inflections and intonations of human voice, that it can recreate voices and even bring those of long-dead celebrities back to life; Natural Voices software, which turns printed text into synthesized speech, makes it possible for company to use recording of person’s voice to utter things person never actually said; utterances still contain few robotic tones and unnatural inflections, leading competitors to question whether it is substantial step up from existing products; tests suggest it may be first text-to-speech software to raise specter of voice cloning, replicating person’s voice so perfectly that human ear cannot tell difference; photo (M)

It’s the only way you’ll survive the coming AI apocalypse.

The status quo of economies today seems to be leaning towards automation as the base provider of all products and services. Owing to rise of robots in factories and AI in computing, automation is becoming one of the most integral parts of society.

While self-replicating robots have largely been kept to science fiction books, their rise is becoming more and more likely with the rise of supplementary technologies such as 3D printing.

This technology could hold the key to a truly post-scarcity society. The question then arises, how would the rise of a post-scarcity society affect human institutions such as economy and governance that rely on scarcity?

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Research by neuroscientists at the University of Chicago shows how short-term, working memory uses networks of neurons differently depending on the complexity of the task at hand.

The researchers used modern artificial intelligence (AI) techniques to train computational neural networks to solve a range of complex behavioral tasks that required storing information in short term memory. The AI networks were based on the biological structure of the brain and revealed two distinct processes involved in short-term memory. One, a “silent” process where the brain stores short-term memories without ongoing neural activity, and a second, more active process where circuits of neurons fire continuously.

The study, led by Nicholas Masse, Ph.D., a senior scientist at UChicago, and senior author David Freedman, Ph.D., professor of neurobiology, was published this week in Nature Neuroscience.

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Opinion: Progress in deep learning research will come from the convergence of engineering and neuroscience.

While it might be nice to use a $4,000 oscilloscope in a lab at a university or well-funded corporate environment, a good portion of us won’t have access to that kind of equipment in our own home shops. There are a few ways of getting a working oscilloscope without breaking the bank, though. One option is to find old CRT-based unit for maybe $50 on craigslist which might still have 60% of its original 1970s-era equipment still operational. A more reliable, and similarly-priced, way of getting an oscilloscope is to just convert a device you already have.

The EspoTek Labrador is an open-source way of converting a Raspberry Pi, Android device, or even a regular run-of-the-mill computer into a working oscilloscope. It’s a small USB device with about a two square inch PCB footprint that includes some other features as well like a signal generator and logic analyzer. It’s based on an ATxmega which is your standard Arduino-style AVR microcontroller but geared for low power usage. It looks as though it is pretty simple to use as well, and the only requirements are that you can install the software needed for the device on whatever computing platform you decide to use.

While the Labrador is available for sale at their website, it is definitely a bonus when companies offer products like this but also release the hardware and software as open source. That’s certainly a good way to get our attention, at least. You can build your own if you’d like, but if you’d rather save the time you have pre-built options. And it doesn’t hurt that most of the reviews of this product seem to be very favorable (although we haven’t tried one out ourselves). If you’d prefer an option without a company backing it, though, we have you covered there too.

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