Big data with hackers

D0766555

梁開恒

https://blog.syncsort.com/2017/04/big-data/big-data-and-privacy/


Data itself is not the problem, bad management data is. So, protecting both big data and privacy is important, and we can do it with proper data management.


The organizations that collect big data about their customers like Yahoo, bank or Facebook are the targets for attackers seeking to steal and exploit private data of their customers.


In order to use data securely and protect privacy, you need to understand the privacy challenges associated with Big Data. When you collect and analyze Big Data, you create a number of attack vectors that exist at different levels of the infrastructure that stores and processes the data. The vectors include:


  • The physical and/or virtual servers that host the data.

  • The databases in which the data lives permanently.

  • The RAM in which the data is stored when it is not at rest.

  • The network over which the data is transferred.

  • The data analytics platform you use, like Hadoop or Spark.

  • The user accounts that exist to work with the data.


With so many layers of protection involved in data storage and analytics, a well-organized data management strategy is making sure that the data moves around efficiently and has minimal risk. Organizations need to keep the big data operations as lean and efficient as possible. Data integration between different systems and formats should work automatically in order to minimize the chance that attackers create an attack opportunity. Also, you should strive to deliver data analytics results in real time so that you can discard data after it is no longer relevant, thereby minimizing the risk of the data being leaked.




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