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Article review & Analysis: Big Data Analytics: Security and Privacy Challenges

We know it is the era of big data. Big data have a high commercial value. Many

companies analyze these data through data analysis and then make the corresponding business decisions. Based on these data, companies can guarantees the correctness of the decision to some extent. This will give the company a great opportunity, but it also gives many users a great risk. While the company collects, stores, manages, and analyzes the data, customers are also exposed to the risk of exposing their personal information. This is also the article to emphasize that we must respect the big data in the security and privacy and how to protect the security and privacy of big data.

Big data consists of three different kinds of digital content: structured data, semi-structured data and unstructured data. Because of the data structure of big data itself, we can not use the conventional database techniques to handle it. A successful big data includes the following five parts: volume, variety, veracity, value and velocity. In order to better analyze these five criteria, we started using big data analysis. Apache Hadoop is the most famous tool for processing big data, even so, here rarely it comes to security and privacy related issues. It is worth our attention and discussion.

I think the security of large data is mainly due to its own structural characteristics. The concept of big data analysis is mainly based on parallelism (Youssef Gahi, Mouhcine Guennoun, Hussein T. Mouftah, 2016), it is more like a random distribution, data is stored and processed in different clusters. It is difficult for us to know the specific storage location and related processing. This will lead to a lot of security issues and operations. So I think that based on the sensitivity of the data, we can effectively allocate and store the data and then carry out targeted data analysis.

Second, we must pay more attention to the access control. We need an access control system. It is more like a security key. Only after the system certification, that we can enter the storage server. The system can reject any malicious access. In addition, people must have sufficient administrative authority to modify the data on the server, including adding, deleting, copying, etc.

Third, I think we need new secure network protocols to protect the big data on the network communication (Youssef Gahi, Mouhcine Guennoun, Hussein T. Mouftah, 2016). Big data is stored in some nodes of many different clusters which are distributed all over the world. All communications of the data between clusters and nodes are via public or private networks. If someone maliciously destroys the communication between nodes, then our data will be at risk. New secure network protocols are good for protecting communications between clusters and nodes.

Finally, I think when we do the big data analysis, we have to pay special attention to the security and privacy. Encrypting data is a very effective method. Blind processing technology is also a good way to protect data privacy. I think that we can use blind processing technology as the basic, then combine with encryption technology, we may effectively protect the security and privacy of big data in the future.