Showing posts with label big brother. Show all posts
Showing posts with label big brother. Show all posts

Tuesday, August 18, 2020

Friday, August 7, 2020

Russia is Expert at Online Disinformation

At her Thursday keynote, Stanford Internet Observatory's research manager Renee DiResta explained how Russian military intelligence – the GRU – and the private Internet Research Agency (IRA) were putting the likes of China to shame. Security companies and government agencies have good reason to move their focus from Beijing to Moscow, she warned.

The basic methods of hacking public opinion are fairly simple, DiResta explained. Fake accounts generate content and spam it out on social media to amplify the message. If enough real people pick up and the posts go viral the mainstream media kicks in and amplifies the desired message still further.

In Russia's case, it spreads divisive material, stolen information, and fake news in an attempt to turn Americans against each other, sour civil society, sow doubt, and create distractions, leaving people unsure of what's really going on. This worked. In China's case, it tried to make people like China. This didn't work.

https://www.blackhat.com/us-20/briefings/schedule/#hacking-public-opinion-21289


Monday, April 22, 2019

SIFT Score - the West's Answer to China's Social Credit Rating. Thanks, Big Brother

Data on what you buy, how, and where is secretly fed into AI-powered verification services, according to the Wall Street Journal. These are supposed to help companies guard against credit-card and other forms of fraud.

More than 16,000 signals are analyzed by a service called Sift, which generates a "Sift score," used to flag devices, credit cards and accounts that a vendor may want to block based on a person or entity's overall "trustworthiness" score. From the Sift website: "Each time we get an event -- be it a page view or an API event -- we extract features related to those events and compute the Sift Score. These features are then weighed based on fraud we've seen both on your site and within our global network, and determine a user's Score. There are features that can negatively impact a Score as well as ones which have a positive impact."

The system is similar to a credit score except there's no way to find out your own Sift score. This sounds a lot like the data that China's social credit system, in part, uses. In the PRC, a person's social score can vary depending on their behavior. The exact methodology is a secret — but examples of infractions include bad driving, smoking in non-smoking zones, buying too many video games and posting fake news online. While Edward Snowden certainly demonstrated the global extent of the US surveillance state, corporate entities have not implemented anything on the level of the Chinese social scoring system. Yet.