How much privacy is 7 days vacation? The panic years of Big data creation

"Pconline" I recently met some very common problems, I have some friends who have been using the Internet for more than 10 years began to disturbed some of the current network environment, a lot of privacy related products do not dare to buy through the electric quotient, some related to private information also try to avoid in the network record and appear, People with such concerns should be regarded as a few visionary friends, their stance is that in such a large data environment, if you do not pay attention to their own privacy, you can even within 1 days of all of your decades of information published in the public and become the means of other people's wealth.

When big data starts to create unnecessary pitfalls, those who have the foresight and understand the cloud age are first alert, because your personal information is being used all the time, imagine, a 11 long holiday seven days, your various online customized catering, transportation, accommodation and even online shopping, will expose you how much privacy?

How much privacy is 7 days vacation? The panic years of Big data creation

7 Days of vacation, your data may be completely exposed.

In the internet age, just give you a computer or a mobile phone, basically food and clothing live to play can be done, regardless of national Day holiday you are planning to rest at home or go out to play, you more or less will use the network to make some planning arrangements, this process, inevitably in the disclosure of your personal data into other people's large data statistics.

A eat

Online ordering, coupons purchase, group purchase information, your consumption level will be through large data back to the Internet companies and specific catering companies, these long-term data comparisons may determine the next long vacation, what kind of buy products, you seem to buy a 98-yuan barbecue rolls, but in fact tens of thousands of data contrast, The information that is itself worthless is turned into expensive domestic food and beverage consumption data.

Two wear

Color, style, place of origin, price, a garment, the model you selected will be counted in the column, this will also lead to this time next year, the new style of the actual and counterpart of the consumer, and your personal data will be recorded, there is bound to be labeled as "key customers" in the next year's new products, you will be the focus of the promotion of the object.

Three live

Order hotels, rent, these two items of annual data statistics will produce unpredictable profit returns, your booking information will be the hotel records, by the data company analysis and determine the heat of the lot so that the data returned to the hotel, so that they can make more profitable room prices.

Four lines

With the help of large data, modern tourism has made great progress compared with earlier years, you can get the travel route that is more suitable for you through data analysis, but it is very common for people to use data analysis to classify your personal information and to sell a lot of services you don't need into your personal information. How did the garbage phone come into being?

Five play

Just because modern people play more and more, the significance of the data, the emergence of a billion industry, must be based on interest and hobbies to make, you love to play mobile phones, good, then we all do on the phone. You think the cell phone is too small, OK, then we all do flat.

Summary: From the life details of these parties, large data itself to cater to the internet age and our contact can be said to be no gap, your little bit is inexplicably been recorded, said the serious, your personal data and information, in ten times by various records, 7 days, countless "you" Can lead to the birth of the next hundred billion industry, why? This is the effect of large data analysis.

One side is big data leading the future development concept in full swing

Government agencies and businesses have increased the layout of large data processing. Bat three put in a larger effort. Baidu to control the search, map and other data entry, and increase the artificial intelligence technology research, such as the establishment of Baidu in-depth study institute, dug to "the father of Google Brain" Wunda, are in the preparation for large data analysis. Ali in from it to DT transformation, to do data companies, Cat, Taobao, Alipay, Ali financial data generated by the personal, business, commodity and financial complete data chain, can let Alibaba provide more accurate, efficient service. Tencent, in addition to through the QQ, micro-mail and other data collection, is also increasing the strength of large data analysis, such as the establishment of Tencent Internet and Social Research Institute, training and the introduction of a large number of relevant personnel.

On the other hand, personal data has been violated frequently.

such as personal information is not knowingly collected. Apple Mobile Collection of domestic user information back to the United States, millet mobile phone in the overseas market to collect user information back to the mainland, have been users and regulatory departments to varying degrees of questioning. The app, which is installed on the phone, collects the user's information in the context of user authorization or unintended authorization.

such as personal information is illegally used, even for profit. October 2013, "Open room data leakage door" has caused a stir. Soon after, a document called "20 million Open room data" appeared on the internet. At that time, some inquiries opened the room data website was shut down. However, in recent times, the site of the Open House has revived.

Therefore, the controversy is in front of: is to promote large data development, and actively contribute personal data to achieve its maximum value? Or to increase personal information protection efforts to control the progress of large data development? stated that:

First, the big data is the development trend, the technology and the industry development, may have certain guidance, but when all conditions are basically ripe, the development tendency is unstoppable.

Second, users themselves should increase the awareness of personal data protection. The development process will bring progress and dross. Everyone is responsible for their own data privacy and security, enhance the awareness of protection, can reduce the likelihood of being violated.

Third, the government agencies and industry organizations to speed up the development of large data processing laws and regulations and mechanisms to standardize large data collection, storage, analysis and application processes, to promote the benign development of industry.

Solutions for large data development and personal data protection have long been raised. MIT Human Power Laboratory director Alex Pentland and his team proposed a trust network. In this network data sharing, there are four principles: first, data collectors to inform users. Second, users know and agree to the data collection and application. Third, the Third-party agencies to audit the process of data processing. Four is that individuals can revoke their own data at any time.