WannaCry and Petya Can Gain Fresh Breath For Google App Account

While Microsoft seems to be struggling to keep the doors to the ransomware open through the house’s products, Google may be opening doors for threats like WannaCry and Petya to come with even more force to users and Companies around the world.

Calm down, this is not an evil plan of the Giant of the Searches, but of problems with an old and really outdated protocol of the Internet.

Basically, what happens to malicious data-hijacking software is successful in its attack is that SMB1 has many clear and familiar gaps. This version of the network protocol dates back more than two decades allows malware to spread laterally in a connected environment.

The result of this? Threats can spread silently between one computer and another on the same network, without users having to act carelessly or opening suspicious files.

To cut the evil at the root and drastically reduce this form of conta

Advertisements

While Microsoft seems to be struggling to keep the doors to the ransomware open through the house’s products, Google may be opening doors for threats like WannaCry and Petya to come with even more force to users and Companies around the world.

Calm down, this is not an evil plan of the Giant of the Searches, but of problems with an old and really outdated protocol of the Internet.

Basically, what happens to malicious data-hijacking software is successful in its attack is that SMB1 has many clear and familiar gaps. This version of the network protocol dates back more than two decades allows malware to spread laterally in a connected environment.

The result of this? Threats can spread silently between one computer and another on the same network, without users having to act carelessly or opening suspicious files.

To cut the evil at the root and drastically reduce this form of contagion, Microsoft announced a few weeks ago that will remove the file sharing of SMB1 from future versions of Windows.

This attitude continues a work the company has been doing since 2014, with actions to discourage the use of the protocol to the detriment of newer and more secure versions, such as SMB2.

The problem is that Google can derail this move in the right direction with the recent launch of its SMB client for Android devices.

The Android Samba Client is very complete and talks flawlessly with servers of this type, but it has a vulnerability that can go unnoticed by more lazy eyes: its default mode of communication is the considerably insecure SMB1.

It can make smaller companies and unstructured network administrators end up keeping the old protocol active on their servers just to make sure everything works properly – a decision that puts the whole network at risk of attack and intrusion, especially from ransomware.

The expectation is that if Google really does not want to undermine Microsoft’s efforts, future app updates discourage use of SMB1 or at least bring SMB2 as the default protocol. After all, nobody wants to facilitate the spread of evil like WannaCry and Petya.

Google Has Removed 2.51 Billion Links For Piracy

The latest Transparency Report from Google showed that the company is sparing no efforts to resolve cases of online piracy.

The company revealed that it has already removed a colossal number of URLs from the internet because of infringements of intellectual monopoly laws: no less than 2.51 billion – and counting.

According to the data, it is also possible to see that much of these numbers come from recent times. In just one year, Google had removed more than 931 million links (almost 40% of the total), with 90 million of them removed in the last month alone.

This growth in the number of removals is even more impressive when we consider a number of removal requests per day that are processed. As you can see in the chart above, daily orders were a few thousand, as early as January 2013, for absurd peaks of 25 million at the beginning of 2017.

Domain</th

The latest Transparency Report from Google showed that the company is sparing no efforts to resolve cases of online piracy.

The company revealed that it has already removed a colossal number of URLs from the internet because of infringements of intellectual monopoly laws: no less than 2.51 billion – and counting.

According to the data, it is also possible to see that much of these numbers come from recent times. In just one year, Google had removed more than 931 million links (almost 40% of the total), with 90 million of them removed in the last month alone.

This growth in the number of removals is even more impressive when we consider a number of removal requests per day that are processed. As you can see in the chart above, daily orders were a few thousand, as early as January 2013, for absurd peaks of 25 million at the beginning of 2017.

Domain Copyright Owners Reporting Organizations Requested URLs % Domain URLs indexed
4shared.com 5,345 1,254 64,907,784 <5%
mp3toys.xyz 657 38 51,267,111 ≥50%
rapidgator.net 7,201 1,685 27,984,616 ≥50%
uploaded.net 6,881 1,390 22,436,588 ≥50%
chomikuj.pl 4,243 716 21,894,662 <5%
setbeat.com 25 14 14,681,436 ≥50%
goear.com 50 32 14,515,339 <50%
iplusfree.com 594 46 13,432,486 ≥50%
unblocksit.es 477 28 13,137,679 ≥50%
zippyshare.com 6,831 1,073 11,832,193 <50%
mangapark.me 53 30 11,734,164 ≥50%
genteflowmp3.me 63 25 11,647,159 ≥50%
filestube.com 4,217 1,331 11,545,108 <5%
unblocksites.co 50 6 11,534,303 ≥50%
dilandau.eu 1,469 140 11,436,879 <10%
genteflowmp3.org 114 17 10,891,742 ≥50%
ninemanga.com 22 29 9,905,680 <50%
torrentz.eu 7,189 2,581 8,770,432 <5%
flowxd.me 11 10 8,244,818 ≥50%
torrenthound.com 5,367 1,395 7,451,242 <50%

What about sites with the highest number of URLs removed? Well, just check the list above. As you can see, the famous 4shared.com service is the biggest target, while mp3toys.xyz and rapidgator.net follow in the second and third positions. According to Google, more than 1.1 million sites have already been targeted for removals.

It should be noted that, of the removal requests made, Google complied with 90% of requests. The remaining links remain available precisely because they can not be classified as a copyright infringement.

Google is Helping to Create Journalistic Artificial Intelligence in Europe

Here is the proof that artificial intelligence can prove useful in many fields. According to some news circulating the network, Google has transferred an amount equivalent to 706 thousand euros ($806,000) to the Press Association to assist the Digital News Initiative, which is responsible for supporting digital journalism.

According to the press release, the Press Association will work with startup Urbs Media to produce about 30,000 local stories in the UK and Ireland with the help of software.

However, it will not be solely responsible for this material, since human journalists will contribute to producing more detailed stories on topics such as crime and health, while the Radar AI tool (developed by the startup) would fill gaps and help locate the article.

As for the amount passed on by Google, it would be us

Here is the proof that artificial intelligence can prove useful in many fields. According to some news circulating the network, Google has transferred an amount equivalent to 706 thousand euros ($806,000) to the Press Association to assist the Digital News Initiative, which is responsible for supporting digital journalism.

According to the press release, the Press Association will work with startup Urbs Media to produce about 30,000 local stories in the UK and Ireland with the help of software.

However, it will not be solely responsible for this material, since human journalists will contribute to producing more detailed stories on topics such as crime and health, while the Radar AI tool (developed by the startup) would fill gaps and help locate the article.

As for the amount passed on by Google, it would be useful to create tools capable of obtaining information from public databases in the United Kingdom.

Radar would also have the function of generating graphics for these materials, as well as adding important videos and photos to those contents. However, it is worth mentioning that this software will only be used from 2018.

Human journalists will still be vital to this process, but [Radar] allows to turn to artificial intelligence to increase the volume of local stories that would be impossible to deliver manually.

But does it work?

While some may regard this initiative as visionary, others imagine that in practice it may not work as well. One is Tim Dawson, president of the National Union of Journalists.

“The real problem in the media is too little bona fide reporting. I don’t believe that computer whizzbangery is going to replace that. What I’m worried about in my capacity as president of the NUJ is something that ends up with third-rate stories which look as if they are something exciting, but are computer-generated so [news organizations] can get rid of even more reporters,” Dawson said in an interview with The Guardian.

After Two Failures, Audi Will Try to Make a New Electric Supercar

There in 2009, Audi brought its Audi R8 e-tron to the world … And it did not work, with the project not even getting out of the role.

A second foray into the electric world came in 2015, with the launch of the 100% electrified version based on the new German Supersport platform, but ended up having its production canceled a little more than a year later due to low sales – less than 100 Units sold.

Now in an interview with Autocar magazine, Audi research and development manager Peter Mertens said the company is ready for another try. “The question is ‘Would I like this to happen again soon?’, And the answer is yes, of course,” said the brand executive.

“For a brand like Audi, a supercar is always interesting and is a segment we’ve been working on. We’ve been working hard on it.”

Autocar suspects, however, that the new vehicle may not be <a href="http://jalo

There in 2009, Audi brought its Audi R8 e-tron to the world … And it did not work, with the project not even getting out of the role.

A second foray into the electric world came in 2015, with the launch of the 100% electrified version based on the new German Supersport platform, but ended up having its production canceled a little more than a year later due to low sales – less than 100 Units sold.

Now in an interview with Autocar magazine, Audi research and development manager Peter Mertens said the company is ready for another try. “The question is ‘Would I like this to happen again soon?’, And the answer is yes, of course,” said the brand executive.

“For a brand like Audi, a supercar is always interesting and is a segment we’ve been working on. We’ve been working hard on it.”

Autocar suspects, however, that the new vehicle may not be based on the R8 platform, but rather a completely built from scratch model with its own design. Martens, meanwhile, suggested that Porsche could make a contribution to the project – a partnership that Volkswagen had already suggested a few months ago.

Still, the prospect of having a new electric and super-fast Audi is real. You can imagine with certainty that at some point in time Audi will have an electric supercar.

Report on Global Financial Threats Against Banks or Institutions

Symantec says financial threats are 2.5 times more relevant than ransomware, with more than 1.2 million detections per year worldwide.

Attention to ransomware-type attacks is on the rise. However, Symantec presented its annual report on financial threats in which financial malware is identified as more relevant than ransomware.

Main findings

Financial threats are more relevant than ransomware

While this second type of threat continues to have all the attention (especially in the recent case of WannaCry ransomware), financial threats are 2.5 times more relevant, with more than 1.2 million detections in the world.

Attacks on rising financial institutions

Since 2016, with the emergence of several sophisticated cybercrime groups following

Symantec says financial threats are 2.5 times more relevant than ransomware, with more than 1.2 million detections per year worldwide.

Attention to ransomware-type attacks is on the rise. However, Symantec presented its annual report on financial threats in which financial malware is identified as more relevant than ransomware.

Main findings

Financial threats are more relevant than ransomware

While this second type of threat continues to have all the attention (especially in the recent case of WannaCry ransomware), financial threats are 2.5 times more relevant, with more than 1.2 million detections in the world.

Attacks on rising financial institutions

Since 2016, with the emergence of several sophisticated cybercrime groups following financial institutions, 38% of all detections of financial threats were directed to institutions rather than attacking consumers. This is because the benefit to cyber criminals is much greater.

Symantec saw a large increase in the detection of financial Trojans throughout Asia, with Japan, China, India, the Philippines and Vietnam gaining prominence in the top 10 list. This shows that the attackers are expanding into new markets of less saturated and less protected regions.

Data Analytics in Clear Language

You have allocated a budget to innovate; you’re on the verge to work with the new “oil” Data. You decide to take data scientists. A good start, and now? Where to begin? What tools they should use and what data sources are appropriate? What is the duration of a data science process if the result is acceptable and how you bring a beautiful model in practice?

Big Data, Artificial Intelligence, Machine Learning, Deep Learning; Nowadays you can not ignore. But … what do these terms actually is and how it is used in the business?

What is Data Science really?

In recent years, the amount of collected and available data grew exponentially. Until 2020, the data will grow by approximately 42% per year. Here we not only talk about data and numbers in tables (structured data) but also documents, chats, posts, photos, videos, audio clips, etc. (<a href="https://learningsimp

You have allocated a budget to innovate; you’re on the verge to work with the new “oil” Data. You decide to take data scientists. A good start, and now? Where to begin? What tools they should use and what data sources are appropriate? What is the duration of a data science process if the result is acceptable and how you bring a beautiful model in practice?

Big Data, Artificial Intelligence, Machine Learning, Deep Learning; Nowadays you can not ignore. But … what do these terms actually is and how it is used in the business?

What is Data Science really?

In recent years, the amount of collected and available data grew exponentially. Until 2020, the data will grow by approximately 42% per year. Here we not only talk about data and numbers in tables (structured data) but also documents, chats, posts, photos, videos, audio clips, etc. (unstructured data).

To take advantage of these data, it is important to translate these data into useful information. The transformation of the quantity of data to information is done through data analytics. This newly acquired knowledge can then be used to make-driven systems, processes, and decisions.

Data Analytics Process

An average data analytics process can be divided into three phases: data processing, transformation, and visualization.

The process starts with the business itself, where a set of data is available where information can be removed. You can consider data from your customer base, from financial systems or, for example, logistics administration. It is also possible to integrate external data sources into your analysis, such as weather data and social media.

Processing

In this phase, there is scooped outline in a large amount of data is present, so that it can be used for the transformation and the visualization step. This processing phase is the most time-consuming, it takes on average 70% of the time. During this period, the data is put in the correct format.

Transformation

During the transformation phase, different data are combined and transformed into analytics models. In this way, new information extracted from the data. The analytics models search for hidden trends and relationships so that you understand about your business.

Visualization

In the visualization phase, the results of the transformed data will be made transparent to the user by means of visualization. By using the appropriate visualization methods and tools, it is possible to understand and use the information hidden in your data.

Experts Predict Artificial Intelligence Will Dominate Humans in Less Than 50 Years

The issue of Artificial Intelligence (AI), which will replace human employees, has become one of the hottest topics in the news, and studies continue to praise the growth and wealth potential of the AI due to increased productivity. At the same time, other reports warn of threats to employment and worsening wage inequality between skilled and less skilled workers.

Despite these alerts, nothing seems to stop technological progress. According to the latest study published by the prestigious Yale and Oxford universities, AI should surpass humans in all areas in less than 50 years.

To arrive at this prediction, The two universities turned to specialists in artificial intelligence from around the world. The latter estimate that the AI should dominate us by 2062, the probability of this prediction was 50%. Nevertheless, it will take more than a century until 2137 to see the AI dominate all human activities.

Artificial in

The issue of Artificial Intelligence (AI), which will replace human employees, has become one of the hottest topics in the news, and studies continue to praise the growth and wealth potential of the AI due to increased productivity. At the same time, other reports warn of threats to employment and worsening wage inequality between skilled and less skilled workers.

Despite these alerts, nothing seems to stop technological progress. According to the latest study published by the prestigious Yale and Oxford universities, AI should surpass humans in all areas in less than 50 years.

To arrive at this prediction, The two universities turned to specialists in artificial intelligence from around the world. The latter estimate that the AI should dominate us by 2062, the probability of this prediction was 50%. Nevertheless, it will take more than a century until 2137 to see the AI dominate all human activities.

Artificial intelligence should control many activities well before that date. By 2024, specialists expect that machines will become better than humans in language translation. Similarly, they will have to dominate activities such as writing high school dissertations before 2026, driving a truck before 2027 and replacing humans with the trade before 2031. The machines will even be able to write best-selling books as early as 2049 and deal with surgery in 2053. In reality, all jobs occupied by humans will be automated in the next 120 years, survey participants said.

The study survey conducted by the two universities was sent to AI specialists who published research in 2015 at one of the two major conferences in the discipline (the Conference on Neural Information Processing Systems and International Conference on Machine Learning). A total of 352 researchers participated in the study.

These results have far-reaching social consequences. For example, how will teachers act if we know that computer-generated dissertations will be impossible to distinguish from the essays written by students?

Nevertheless, humans will always be there to handle the problems that will follow the deployment of the AI. Experts have given a probability of only 5% disappearance of our species, despite the media enthusiasm and the very tense debate about the dangers of AI.

Artificial intelligence has already surpassed humans in several tasks. Recently, AlphaGo, the AI designed by DeepMind (a subsidiary of Google) has succeeded in beating the best player in the world of the most complex strategy game possible, the game of Go. Other systems can read on the lips better than professionals, and systems can even help investigators sort out police data. However, each system has a unique task and is irrelevant when it comes to other tasks unless it is trained.

There is evidence that machines will dominate human intelligence in complex but specific tasks. But there is not much evidence that an AI with the same versatility as humans will make its appearance soon.

The results of the study did not show any relationship between the age of the researchers and their predictions, but their geographic location had an impact on their predictions. Thus, researchers in Asia have moved dates much closer than their peers in North America.

This study focused on the cognitive aspects of intelligence that correspond to well-defined tasks. But elements of intelligence, like emotional intelligence, go beyond the cognitive. It would be interesting to ask when the AI will go beyond the humans who criticize works of art or films.