Is Big Data a Threat to Security? How can we solve this?

When it comes to security, big data may be both a threat and an opportunity. Here's what you need to know about Big Data's security domain, as well as what you can do to improve it.

Is Big Data a Threat to Security? How can we solve this?
Big Data Security Threats

Is Big Data a threat to Security? How can we solve this?

The large storehouse of data, big data that has been the guiding force to the businesses across the world in the present age is also vulnerable to security threats. It is often asked why the security of big data is important? If your data is important then don’t you think the security of data too should be looked upon by you. In simple words, for an enterprise whose millions of money are invested to get higher returns, big data security is important as the hacking of sensitive information may cost the company quite a handsome amount of loss which in turn would hammer its goodwill and the loss would be multi-faced. 

 

No matter what the size of your business is, if you rely on big data then its security should be confirmed by you. In this article, we are here to acquaint you with big data security, the different kinds of challenges it is open to and modes through which you can overcome them. 

A Brief Insight into Big Data Security 

Measures taken to protect the big data from cyber challenges like hacking, theft, DDoS attack, ransomware, etc are termed Big data security. Enterprises relying on the cloud are vulnerable to numerous security challenges which are not merely from the online world but are from offline zones too. Tools used by companies are big data securities. Let us have a look underneath over the potential big data security challenges in brief- 

 

Possible Big Data Challenges 

Intricacy in Big Data itself 

The complex nature of the information stored in big data itself is a threat to it. We all know that big data is the storehouse of structured and unstructured data which comes from various sources like mobile phones, cloud applications, servers, etc. With more data being stored, more complexities arise and a highly effective tool is required to protect it and enhance the compatibility of data. 

False Data invention 

The generation of fake data is widely prevalent and is a significant challenge that can’t be ignored at all by big data users. It is important to recognize the fake data in your central storage area. In the above case, no security tools can prevent the loss as fake data restrain you to find out the real ongoing issue and would rather mislead you. In this case, identification of fraud becomes a tough job and a false report may insist you take unnecessary actions which may adversely affect the growth of a business. 

Working on Multi-Cloud 

Multi-cloud computing has opened a new era in business operation as the majority of work is done virtually now. At the same time, businesses have become prone to more cyber challenges needing more safeguards. The risk is getting deadlier day by day with more and more data added to the cloud. One needs to be extra cautious and use effective tools while transferring confidential details into the cloud or shifting it out of the cloud.  

Automated Data Cleansing concerns 

Companies use either manual or automated data cleansing tools which makes available authentic and ace quality data for decision making in business leaving behind incorrect information. Consistency is presumed from manual data cleansing but the problem may arise when an automated cleaning tool based on an inconsistent model is chosen. Due to automated cleansing tools, data management individuals may get less careful thereby reducing the excellence of the database. 

Data Mining Issues 

The data mining technology is profoundly effective for better grasp and utilization of data owned by a company. Though data mining is performed by professionals, it is a big security concern that must not be neglected. 

Reluctance in spending on Security 

Despite knowing the intensity of possible risks involved in big data and the importance of big data security, not much is spent on keeping it protected. It is wise as well as suggested to adopt new and sturdier modes of keeping your data safe. 

Lesser no Security Audits 

More and more security audits should be conducted regularly to keep your data safe and find out the security lags. Security audits should be conducted frequently on a regular basis to avoid hazards to big data. 

Ignorance and theft on the part of the employee of the company is also a big threat to big data security which must be fixed by having a tool to restrain it. 

 

 Solutions to Big Data Security Threats 
  1. Certification – It is important to guard the system from unwanted access. Authentication confirms that the user is the right individual who is entitled to access the data.
  2. Approval – It is needed to have control over data, service and resources along with managing access. It should be practised at different levels of granularity in the company concerned. 
  3.  Effective Administration and Audit- It is needed to uphold and state activity on your system. Auditing is important to confirm security fulfilment. 
  4. Encryption of data- Unofficial access to confidential and important data should be controlled. Appropriate methods and tools must be adopted to confirm the security of data. 

 

Conclusion:

Despite the government regulations and technical advancements, private users and companies aren’t able to figure out the storage space of data and what is happening around. Henceforth, smart analytics tools must be utilized to formulate impeccable security strategies. It is imperative to maintaining the network health in this era of constantly evolving cyberattacks.

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