Unsupervised Learning

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Unsupervised Learning: No. 169 Mar 18, 2019

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Multiple governments have now blacklisted Huawei, which Huawei seems very confused by. The best explanation I've heard so far about why this move makes sense for western countries came from Rob Joyce of NSA. He basically said that just like Kaspersky in Russia, the reason you can't trust Huawei is that it's a Chinese company, and even if they're not already infiltrated by the Chinese government, they can be at any moment without anyone knowing that it happened. And there's nothing Huawei or anyone else could do to stop it. Strong argument. Link
2/3 of Android antivirus apps are hot garbage. Gasp. Link
DARPA is building an open-source, secure voting system. That's their goal, anyway. I'm skeptical of being able to build truly secure systems, but I have lots of confidence in DARPA, and I also know the bar for improvement over the current state is quite low. So, yeah, go forth and prosper. Link
The RAND Think Tank conducts wargames between the U.S. and its potential enemies, such as Russia and China, and one analyst said that we keep losing. The issue seems to be that our key advantages can be neutralized rather easily, and it'd take a lot of money to fix the biggest issues. Link

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Unsupervised Learning: No. 167 Mar 03, 2019

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This is a description of cyberwar that sounds quite realistic to me, and it's based around the thousand-cuts idea. Ring Doorbells have a vulnerability that allows one to capture clear-text videos and other data from the cameras if you can get on the wireless network that the camera is using. An independent security researcher found the Dow Jones Watchlist database sitting open on the internet. Schneier talks here about how easy it is to influence people in sensitive positions, similar to my post o n China building a database on us.…

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Unsupervised Learning: No. 165 Feb 21, 2019

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OpenAI text spoofing, Twitter DMs, Chinese tracking database, Ponemon Cyber Risk Score, Technology News, Human News, Ideas Trends & Analysis, Discovery, Recommendations, and the Weekly Aphorism…

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Unsupervised Learning: No. 163 Feb 04, 2019

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My takeaways from ENIGMA 2019—one of my two favorite conferences in the world.
The US has charged Huawei with stealing trade secrets, money laundering, and fraud. This escalates the already tense situation with China on a number of fronts.
An engineer does a Twitter thread on AI-created videos on YouTube. He describes how they are created, promoted, and selected for display in recommendations. Fascinating read. This is a video of thieves scanning a BMW key fob through the wall of the owner's house, and driving away in their car. It could be that proximity-based security devices might need a trigger event (from the owner) before becoming active, like for mobile payments.

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An Overview of the OWASP IoT Top 10 for 2018 Jan 07, 2019

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We just released the 2018 version of the OWASP Internet of Things Top 10, and in this episode I talk you through the list and give the philosophy, methodology, and next steps for the project.

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Unsupervised Learning: No. 159 Jan 07, 2019

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German politicians hacked, NSA's new RE tool, Weather Channel tracking, sick TSA agents, Facebook dust tracking, Technology News, Human News, Ideas, Discovery, Recommendations, and the weekly Aphorism…

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Unsupervised Learning: No. 155 Dec 11, 2018

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Google+ breach, Android flaws, China's long game against the US, Australia's encryption blunder, NYPD drones, and more…

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Unsupervised Learning: No. 153 Nov 26, 2018

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Ukraine malware, China's Black Mirror, DARPA's Mosaic, FBI trolling, Silicon Valley jobs, Technology News, Human News, Ideas, Trends, & Analysis, Discovery, Notes, Recommendations, and the weekly Aphorism!

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Unsupervised Learning: No. 147 Oct 25, 2018

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OWASP IoT Top 10 Draft, Facebook compromise, Fornite cheating, Pentagon weapons, spam calls, technology news, human news, ideas, discovery, recommendation, and the weekly aphorism…

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Unsupervised Learning: No. 141 Sep 04, 2018

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AMA Summer 2018, Security News, Technology News, Human News, Ideas, Discovery, and the weekly Recommendation and Aphorism…

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