Data Loss Detection

Corporate data leaks are a scary issue. Security practitioners have been forced to address data leaks caused by e-mail, instant messaging and other Internet channels. However, with the popularity of mobile technology, data leakage events are more likely to occur than before, both accidental and malicious data leaks. Prepare for data protection although there are many tools in the market to prevent mobile and fixed data from leaking from the company secretly, the best approach is to use a combination of prevention and detection methods, such as combining the detection engine with the data blockade. However, in doing anything ...

[Guide] existing http://www.aliyun.com/zixun/aggregation/13793.html "> Cloud service Providers can provide a foundation encryption key scheme to protect cloud-based application development and services, Or they leave these protections to their users. When cloud service providers develop programs that support robust key management, more work needs to be done to overcome the barriers that are being used. The criteria under development should be resolved in the near future, but the work is still ongoing. Cloud computing ...

In all areas of treatment, the market for weight loss (lose weight) has almost no suspense to have the most active patient needs, when lighter, thinner not only become a health demand, but also become more and more common aesthetic standards, drugs and health care market also eager. While the global drug watchdog has been tightening its approval for weight-loss drugs for security reasons, the drug market, which is trying to beat the ball, is almost insane. Thus, in the weight loss "drug 国药准字" products collectively fall, health food has become a weight loss market, "the force." In addition, some of the various weight loss products have begun ...

1. The introduction of large data production makes data analysis and application more complex, difficult to manage. According to statistics, the amount of data produced in the world over the past 3 years is more than the previous 400 years, including documents, pictures, videos, web pages, e-mail, microblogging and other types, of which only 20% are structured data, 80% is unstructured data. The increase of data makes the data security and privacy protection problem become more and more prominent, all kinds of security incidents to the enterprise and user wake-up alarm. Throughout the data lifecycle, businesses need to comply with stricter security standards and confidentiality rules ...

In January, all the common top-level domains (. com/.net/.org, etc.) in mainland China were resolved, and all related domain names were directed to an IP address (65.49.2.178) located in the United States, resulting in tens of millions of of Internet users being unable to access the site within hours. April, OpenSSL "Heart Bleed (Heartbleed)" significant security vulnerabilities were exposed, which allowed hackers to read the server system's running memory. There are people in the industry to use this loophole in a well-known electric website test, successful access to a number of users of the account and password, and successfully published ...

This article describes ways to perform large data analysis using the R language and similar tools, and to extend large data services in the cloud. In this paper, a kind of digital photo management which is a simple and large data service is analyzed in detail, and the key elements of searching, analyzing and machine learning are applied to the unstructured data. This article focuses on applications that use large data, explains the basic concepts behind large data analysis, and how to combine these concepts with business intelligence (BI) applications and parallel technologies, such as the computer Vision (CV) and ... as described in part 3rd of the Cloud Extensions series.

For the IT sector, there are a number of very new concepts recently, such as cloud computing and the Internet of things, and when people are beginning to have a clear understanding of these concepts, another new concept emerges-big data. What is big data? Where does the big data concept point to, and how can the big data change our lives? Will it bring trouble to our life and work? This newspaper worked with the first financial brainstorming program to explore the problems of the big data age. Participants in this discussion have a large data concept of the author, Oxford University professor Victor Maire Schoenber ...

May 2014, the Executive Office of the United States (Executive Office of the President) released the 2014 global "Big Data" white Paper – Big Data: Seize the opportunity, Guardian value (Bigdata:seize opportunities, Preserving Values) (hereinafter referred to as "white Paper"), the United States of large data application and management of the status quo, policy framework and improvement proposals are focused on. The value represented by the white paper ...

Gartner presented the BI concept in 1989. Gartner further upgraded the BI concept to advanced analysis (Advanced Analytics) in 2008. 2011, McKinsey explained the concept of large data. The names are different, but the problems they are trying to solve have never changed. However, now large data analysis technology can deal with more than 20 years ago, a larger, more diverse, real-time (Volume, produced, Velocity) data, that is, large number ...

Currently, the Hadoop-based big data open source ecosystem is widely used. At the earliest, Hadoop was considered to be deployed only in a trusted environment, and as more departments and users joined, any user could access and delete data, putting data at great security risk.