Google’s blog post on the subject gave the example of FHE allowing medical researchers to examine the data of people with a particular condition without providing any personal details about them.Įncryption takes private information and makes it unreadable by unauthorized third parties. In one recent example, Google released an FHE-based tool that allows developers to work with encrypted data without revealing any personally identifiable information (PII). FHE keeps the information secure by not requiring decryption to occur for processing to happen. What Advantages Does FHE Have Over Other Types of Encryption?ĭata is at a higher risk of becoming compromised when it’s not encrypted. Even now, FHE can require hundreds of times more computing power than an equivalent plaintext data operation. However, working with even a tiny amount of data proved too time-intensive.
However, it has taken substantial time to turn these concepts into feasible real-world applications.Ī researcher showed it was plausible with his 2009 published study. Researchers first proposed FHE in the 1970s, and people became interested back then. In many cases, information is represented as integers, while multiplication and addition replace the Boolean functions used in other kinds of encryption.įHE uses an algebraic system that allows working with data without requiring decryption first.
However, FHE uses an algebraic system that allows working with data without requiring decryption first. Only the party with the correct private key can see the information in its unencrypted state. Read more: Creating a Cloud Strategy: Tips for Success How Does Fully Homomorphic Encryption Work?įHE is like other encryption methods that require using a public key to encrypt the data. For example, if someone wanted to process information in the cloud but did not trust the provider, FHE would allow sending the encrypting data for processing without providing a decryption key. What Is Fully Homomorphic Encryption?įully homomorphic encryption allows the analyzing and running of processes on data without needing a decryption method.
Fully homomorphic encryption (FHE) could be a step in the right direction. Company leaders are continually looking for ways to keep data safe without compromising its usability.
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