The bottom line: While the Big Tech behemoths of the U.S. are barred from making inroads in China, the inverse doesn’t apply. That could mark an opening front in the ongoing technological and economic war between the two rivals.
the Timesreported that such evidence exists, it has just not been openly published.
Joy Tan, Huawei’s chief global communicator, told methat “the assumption that the Chinese government can potentially interfere in Huawei’s business operation is completely not true. Huawei is a private company. The Chinese government does not have any ownership or any interference in our business operations.”
The CIA has now directly refuted this.
Tan insisted that “China does not have any law to force any company or business to install a back door. Premier Li Keqiang said that openly several weeks ago, the Chinese government would never do that, make any company spy.”
According to the Times source, “only the most senior U.K. officials are believed to have seen the intelligence, which the CIA awarded a strong but not cast-iron classification of certainty.” But the newspaper also reports a separate U.S. course as saying that there is a view within the U.S. intelligence community that “the Chinese ministry of state security — its principal security and espionage organization — had approved government funding for Huawei.”
Roskomnadzor has also exerted pressure on Google to remove certain sites on Russian searches.
Director of National Intelligence Dan Coats told Congress last month that Russia, as well as other foreign actors, will increasingly use cyber operations to “threaten both minds and machines in an expanding number of ways—to steal information, to influence our citizens, or to disrupt critical infrastructure.”
TAILS is an acronym for “The Amnesic Incognito Live System.”
TAILS is a highly-secure operating system (and a host of cool applications) designed to be booted off of a DVD or USB thumb drive. This not only makes TAILS easy to transport, but also ensures that TAILS can be booted and instantly useful from nearly any PC, Mac, or Chromebook. TAILS is built on Linux, a name you might recognize because it’s a popular, free, and open-source operating system that’s been available since 1991. TAILS, in particular, runs on a variant of Linux known as “Debian,” which became available in 1996.
Third and most importantly, when setup correctly, TAILS helps ensure that all of your communications — email, web browsing, chat, and more — are encrypted, made anonymous, and then routed in such a way that it’s extremely difficult to detect or trace them.
Its unique approach to offering such well-regarded security is the creative use of two virtual machines (or VMs) running in tandem on one host computer. One of these VMs is known as the Gateway while the other is known as the Workstation.
Compared to TAILS, Whonix only provides a few free, open-source applications and those need to be set up fairly extensively. The list includes:
The TOR browser, for safe web browsing
Firefox, for less secure web browsing
Icedove, for emailing, secured by the Enigmail extension to encrypt and authenticate emails using a well-know and secure protocol called “OpenPGP”
HexChat, for internet chats
VLC, to open and view every kind of video file that’s ever existed
Investigators traced the man through digital tracks he left on the internet, as well as by speaking to witnesses, including another unnamed 19-year-old man that the hacker had communicated with via an encrypted messaging service. The hacker, who used the pseudonyms “G0t” and “Orbit”, was arrested on January 6 after investigators searched his home.
“Bad passwords were one of the reasons he had it so easy,” Seehofer said. “I was shocked at how simple most passwords were: ‘ILoveYou’, ‘1,2,3’. A whole array of really simple things.”
The latest incident comes just over a month after German security officials detected a major cyber attack against the email accounts of German lawmakers, as well as the military, and several German embassies by a Russian hacker group with ties to Moscow’s military intelligence wing, the GRU.
That attack occurred less than a year after the BfV, Germany’s intelligence service, said the Russian government was behind a cyberattack on German computer networks that was discovered in December 2017 and was also linked to the same hacker group that carried out the November 2018 breach.
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Artificial intelligence (AI) and machine learning are no longer fantastical prospects seen only in science fiction. Products like Amazon Echo and Siri have brought AI into many homes,
Kelly Calhoun Williams, an education analyst for the technology research firm Gartner Inc., cautions there is a clear gap between the promise of AI and the reality of AI.
Artificial intelligence is a broad term used to describe any technology that emulates human intelligence, such as by understanding complex information, drawing its own conclusions and engaging in natural dialog with people.
Machine learning is a subset of AI in which the software can learn or adapt like a human can. Essentially, it analyzes huge amounts of data and looks for patterns in order to classify information or make predictions. The addition of a feedback loop allows the software to “learn” as it goes by modifying its approach based on whether the conclusions it draws are right or wrong.
AI can process far more information than a human can, and it can perform tasks much faster and with more accuracy. Some curriculum software developers have begun harnessing these capabilities to create programs that can adapt to each student’s unique circumstances.
GoGuardian, a Los Angeles company, uses machine learning technology to improve the accuracy of its cloud-based Internet filtering and monitoring software for Chromebooks. (My note: that smells Big Brother).Instead of blocking students’ access to questionable material based on a website’s address or domain name, GoGuardian’s software uses AI to analyze the actual content of a page in real time to determine whether it’s appropriate for students. (my note: privacy)
serious privacy concerns. It requires an increased focus not only on data quality and accuracy, but also on the responsible stewardship of this information. “School leaders need to get ready for AI from a policy standpoint,” Calhoun Williams said. For instance: What steps will administrators take to secure student data and ensure the privacy of this information?
James Dixon, the CTO of Pentaho is credited with naming the concept of a data lake. He uses the following analogy:
“If you think of a datamart as a store of bottled water – cleansed and packaged and structured for easy consumption – the data lake is a large body of water in a more natural state. The contents of the data lake stream in from a source to fill the lake, and various users of the lake can come to examine, dive in, or take samples.”
A data lake holds data in an unstructured way and there is no hierarchy or organization among the individual pieces of data. It holds data in its rawest form—it’s not processed or analyzed. Additionally, a data lakes accepts and retains all data from all data sources, supports all data types and schemas (the way the data is stored in a database) are applied only when the data is ready to be used.
What is a data warehouse?
A data warehouse stores data in an organized manner with everything archived and ordered in a defined way. When a data warehouse is developed, a significant amount of effort occurs during the initial stages to analyze data sources and understand business processes.
Data lakes retain all data—structured, semi-structured and unstructured/raw data. It’s possible that some of the data in a data lake will never be used. Data lakes keep all data as well. A data warehouse only includes data that is processed (structured) and only the data that is necessary to use for reporting or to answer specific business questions.
Since a data lake lacks structure, it’s relatively easy to make changes to models and queries.
Data scientists are typically the ones who access the data in data lakes because they have the skill-set to do deep analysis.
Since data warehouses are more mature than data lakes, the security for data warehouses is also more mature.