a full page of the Sunday NY Times devoted to Trump’s lies
Trump is beginning to get touchy about the tabulation of verifiable lies … as the history of other network shenanigans occurs online and as one can see, it happens synchronously, making collusion not so different from coordination, cooperation, and connection. Winks and nods.
And have you yet forgotten all those other issues that are part of the fake-news eco-system, including how social media is only one form of Big Data and a rhetorical attack is only one form of an information commodity whereas hacking can “steal” many disparate forms.
In the world of financial crime, the path to election fraud goes through a micro-target wielded by perhaps the same IT personnel and reveals itself in ransomware as but one example, a tool that can also be an instrument of lawfare (see Russian sanctions). At what moment is there non-state and state-sponsored cyber terror when data becomes a security risk (GOP vendors making US voter data accessible on vulnerable servers)
The Trump 2016 campaign and 2017 WH is but a disorganized sign of much more organized criminal networks piggy-backed onto Bigly data manipulation. Sad! is how Agent Orange keeps telling us not to look behind the digital curtain of “The Cyber”. Even if CTs are the result of fuzzy numbers, there is a fuzzy logic that makes Trump more than the product of a smart toaster.
Puppy-Monkey-Baby
are you distracted … yet
Who polices the cyberpolice
Cyberthreat real-time map by Kaspersky shows you the real-time attack detected by their various source system.
On-Scanner access
On Demand Scanner
Web Anti-virus
Mail Anti-virus
Intrusion Detection System
Vulnerability Scan
Kaspersky Anti-spam
Botnet Activity detection
What a Map of the Fake-News Ecosystem Says About the Problem
Jonathan Albright, a professor at Elon University in North Carolina, is an expert in data journalism who has worked for both Google and Yahoo. He specializes in media analytics and social networks, and he has created a network map or topology that describes the landscape of the fake-news ecosystem.
Even if Facebook and Google are the largest distributors of fake news or disinformation because of their size, Albright's work arguably provides a scientifically-based overview of the supply chain underneath that distribution system. And that could help determine who the largest players are and what their purpose is.
Albright says his research started with a look at the traffic generated by some of the top fake-news distribution sites. As he described in a post published on Medium, he came to the conclusion that banning them from ad networks run by Google or Facebook wouldn't solve the problem.
That's because much of the traffic to and from those sites—and therefore their presence at the top of Google's search engine or high up in the Facebook news feed—is achieved organically, he argued. Many seemed to be driven primarily by sharing through old-fashioned networks. In other words: they're sent via email.
This led Albright deeper into the traffic-analysis and social mapping process. He tried to determine which of the top sites were driving the most traffic and who else they were connected to via Facebook and Twitter.
More than anything, the impression one gets from looking at Albright's network map is that there are some extremely powerful "nodes" or hubs that propel a lot of the traffic involving fake news. And it also shows an entire universe of sites that many people have probably never heard of.
banks, government organizations, telecom companies