7 Best practices to help secure big data

others | Data Science   |   
Published January 26, 2021   |   

Digital data is expanding speedily than ever before. Big data is extremely helpful to the organizations as it provides an insight to the businesses about themselves; help them understand their consumers and their market. With all these benefits comes the responsibility too. Big data security is a need to the organizations as losing the data to your competitors can be a really big liability. The potential of this data is massive as it can provide an edge to your competitors in the market.
The magnification of data involves enormous amount of knowledge and discernment that will certainly escalate the business figures in uncountable ways. With the rise in data production and consumption, the organization needs to ensure that there are no loopholes in the pool that can pose negative impact later. The Cloud Security Alliance (CSA) has also released crucial information related to Big Data security. This article provides a holistic plan to deal with the Big Data along with the important things to keep in mind while doing so.
Here, we have tried to enlist some of the key points for securing big data:

Shielding Distributed Programming Framework

It is a real need to be careful with the big data especially as there are continuous attacks on such data across the world every now and then. Distributed Programming Framework is utilized for computation and storage in a parallel manner so as to process big data. It is suggested to first go through the security policy and then only process further. This can be checked through Mandatory Access Control (MAC). It should be the responsibility of the IT branch of the business organization to keep the digital sphere secure for business through stern measures.

Pay attention to the Storage Management

The utmost important need is to pay attention to the storage management of big data. One can use secure untrusted data repository (SUNDR) to check any changes by the unsuitable server agents. A series of techniques such as Digital Rights management and policy based encryption schemes can also be utilized for ensuring big data security. Paying attention to this aspect can secure your business to a great extent in terms of big data security. As big data can be attacked from both online and offline ways, it is advisable to stay prepared at all times.

Strengthening the End point Security and checking trusted certificates

To have your big data secure and an uncomplicated flow of operations, securing the end point and preventing data leakage is essential. A business organization can also begin by ensuring the security through SSL Certificates, an extremely important method to safeguard the website.
Numerous SSL Certificates are available in the market and you can find out the suitable one for you too. Even the cheapest SSL Certificate from a reliable provider can guarantee end point security to your business. For the smooth operation of the business, it is essential to provide a secure environment for the business. This aim is served by the SSL Certificates which will keep you away from most of the security threats for a business. These certificates can be helpful in boosting the sales by adding the trust factor of the consumer towards the business.

Essential practices for the Privacy of data

To ensure privacy of data is the most important aspect of the digital sphere. The training and conducting workshops for the employees can be really helpful in this direction. Further, in order to remove the weak spots from the big data security and ensure a system impervious to attacks, it is important to review and monitor the linkage between the databases.

Employ Cryptographic techniques for Big Data Security

Now-a-days, most of the big organizations are employing the conventional cryptographic data to search and filter the encrypted data. Searchable Symmetric Encryption abbreviated as SSE is employed for this purpose. Identity based encryption, Attribute based encryption and Converged encryptions are all helpful to secure big data. The security and privacy challenges to big data are one of the most talked about trends and need to be managed properly in every organization.

Regulating the access control

To create a balance between who can or cannot access the data is a tricky move. It is a noteworthy decision to make how much control should be provided to the user. This step involves keeping high security on the elements to be kept secret and tracking the admin data. Using single sign on can be another important part of ensuring big data security.

Make audit a part of the organization

No matter how much attention you pay to all the aspects and make efforts to ensure the big data security, the system still face attacks and malicious activities every now and then. After the attack, the audit should be done to strengthen the security. The audit should involve all the members of the business organization and should be kept confidential. The outcomes of the audit should be secured too. It should be the responsibility of the IT branch to accentuate the security by keeping the big data and the important outcomes of the audit separately.


Big data security is a great concern in the fast pace digital world. The big data security comprises all the steps and tools used to defend the data from the cyber attacks, thefts, or other negative activities that could pose a problem on the business. In this direction, most of the companies find the leakage spots and block them with safety measures of the digital world. Steps like paying attention to the storage management, ensuring privacy of data and using cryptographic techniques can be incorporated for big data security. Apart from this, regular audit at fixed intervals can be really helpful to the business organizations in growth. These abovementioned steps can be practiced so as to keep the risk far away and remain prepared in case of an attack.