• Advanced encryption may solve the challenges that arise from Big Data applications in relevant areas.
  • Homomorphic encryption has proven to be much more reliable and is now upgraded up to Fully Homomorphic Encryption (FHE).
  • The combination of Fully Homomorphic encryption with Secure Multiparty Computation (SMC) is the best way to go.

The most terrifying aspect of the internet we use nowadays is the difficulty of keeping the privacy of your data. It’s almost impossible to share your information without being hacked by someone else. This is a major concern for tech experts. They are now looking for safe and ethical sharing of data. In addition to the loss of personal data of privacy and threats, this type of situation can cause more damage. It also hinders growth in security, governance, and rapid reaction to natural catastrophes.
However, there is a solution to this issue. According to NewScientists that a sophisticated encryption technique can reduce the risks of privacy breaches that occur when the use of Big Data. It can also open the way for the use of Big Data in every application in a secure manner. Additionally, this innovative method of encryption for data will protect sensitive information.

Data is the most important aspect of the success of many
The significance of data in the events around us cannot be under-emphasized. It is a crucial factor in every aspect of our economy, and also in our daily lives. A majority of tech companies concentrate more on gathering and utilizing information to accomplish their goals. For example, they use the data they gather from the internet to create their marketing strategy using targeted advertisements.

Data collection affects our safety and health. It helps us stay well and offers ways to be able to withstand natural catastrophes. Data can also assist students make better decisions regarding their education. To use data at the highest degree, more data needs to be collected and analyzed.

Data plays an important part in battling cybercrime. Data is also important in the medical area. As per Dr.Jacques Fellay, the data, when analyzed using AI technology, can provide solutions to health issues of the human body.

These all show that data in raw form is crucial in all areas of life. Therefore, it is important to protect it. Raw data can contain sensitive information that could be harmful at the hands of cybercriminals. Therefore, everyone should unite to safeguard and secure the data.

The risks of letting of data float in the dark without safeguarding are numerous. As an example, a criminal could collect data pieces that they use to locate any person they want. Additionally, they could sell the information to brokers, and even expose the privacy of individuals.

Data encryption journey so far
There have been numerous attempts to come up with ways to protect data over time. One of these is the method of differential privacy. Based on our sources the differential privacy method can work to a certain degree. It does this because it introduces mistakes in the answers using statistical methods to confuse those trying to collect information. There are however holes because it didn’t safeguard information.

But, a different method referred to by the name of “Homomorphic encryption” has been enhanced to guarantee more privacy of data. This method has been in use since 1978. In the last few years, there have been numerous improvements to it, allowing it to “Fully homomorphic encryption.” This technique is under advancement for the last 30 years.

Based on the US Defense Advanced Research Projects Agency the FHE is a source with numerous opportunities and promise. In 2009, Craig Gentry, a Stanford University Ph.D., made another discovery to enhance FHE’s processing. Based on these findings, IBM now features FHE tools that use Artificial Intelligence to detect cyber criminals using the help of an AI Neural network.

The most effective method to protect the privacy of data
Although fully Homomorphic encryption is more secure for data security, pairing it with Secure Multiparty Computation (SMC) is better. Medical data is no more accessible to any entity using both of these methods. This method ties pieces of medical data so that they are unretrievable. This technique is currently implemented in the hospitals of the University in Switzerland to secure the sharing process of patients’ personal information.

However, there is a problem making use of this method. The encryption process is complicated and, consequently, data processing can be slower by 100,000 times when compared to processing data that is not encrypted.