How to Revolutionize Data Security Through Homomorphic Encryption

How to Revolutionize Data Security Through Homomorphic Encryption

How to Revolutionize Data Security Through Homomorphic Encryption. For decades, we have benefited from modern cryptography to protect our sensitive data during transmission.

For decades, we have benefited from modern cryptography to protect our sensitive data during transmission and storage. However, we have never been able to keep the data protected while it is being processed.

Nearly 4 billion data records were stolen in 2016. Each one cost the record holder nearly $158. If we do the simple math, in 2016 alone, attackers amassed a whopping $632 billion. The very scale, sophistication, and cost of cyber-attacks escalate every year. Cyber-attacks will continue this exploitation and today’s technologies will not be able to keep pace. In such times, we need an encryption technology to disorient and discourage bad actors.

For example, many years from now, a fault-tolerant, universal quantum computer with millions of qubits could quickly sift through the probabilities and decrypt even the strongest common encryption, rendering this foundational security methodology, that we know as of today, obsolete.

This is where Homomorphic Encryption comes in. Homomorphic encryption helps us in solving a lot of problems that today's elliptic-curve cryptography (ECC) algorithms fail to address in our cloud infrastructure security.

Shortcomings of today's encryption techniques

When it comes to cloud security, our data is basically encrypted in two states: during transit and on storage.

In transit, the encryption techniques that we use today suffer from a problem called as TLS / SSL termination. Interestingly, this problem that we're talking about, is also very proudly marketed as a feature by reverse proxies such as NginxEnvoy, etc.

data science

Bootstrap 5 Complete Course with Examples

Bootstrap 5 Tutorial - Bootstrap 5 Crash Course for Beginners

Nest.JS Tutorial for Beginners

Hello Vue 3: A First Look at Vue 3 and the Composition API

Building a simple Applications with Vue 3

Deno Crash Course: Explore Deno and Create a full REST API with Deno

How to Build a Real-time Chat App with Deno and WebSockets

Convert HTML to Markdown Online

HTML entity encoder decoder Online

50 Data Science Jobs That Opened Just Last Week

Data Science and Analytics market evolves to adapt to the constantly changing economic and business environments. Our latest survey report suggests that as the overall Data Science and Analytics market evolves to adapt to the constantly changing economic and business environments, data scientists and AI practitioners should be aware of the skills and tools that the broader community is working on. A good grip in these skills will further help data science enthusiasts to get the best jobs that various industries in their data science functions are offering.

Data Science With Python Training | Python Data Science Course | Intellipaat

🔵 Intellipaat Data Science with Python course: https://intellipaat.com/python-for-data-science-training/In this Data Science With Python Training video, you...

Applications Of Data Science On 3D Imagery Data

The agenda of the talk included an introduction to 3D data, its applications and case studies, 3D data alignment and more.

Data Science Course in Dallas

Become a data analysis expert using the R programming language in this [data science](https://360digitmg.com/usa/data-science-using-python-and-r-programming-in-dallas "data science") certification training in Dallas, TX. You will master data...

32 Data Sets to Uplift your Skills in Data Science | Data Sets

Need a data set to practice with? Data Science Dojo has created an archive of 32 data sets for you to use to practice and improve your skills as a data scientist.