Homomorphic Encryption

The old approach to data security won’t work in a future that features growing privacy regulation and increased data sharing in uncontrolled environments. Pioneered by IBM Research and built on over a decade of cryptography innovations, IBM Security Homomorphic Encryption Services is a first-of-its-kind security services for FHE. Learn FHE...

The academic cryptographic community has been very inventive lately and we are seeing some promising new encryption technologies start to emerge. Format preserving encryption is moving through a standards track at the National Institute of Standards and Technology (NIST) and I think we will see one or more of the...

Homomorphic Encryption makes it possible to do computation while the data remains encrypted. Homomorphic encryption is encrypted using a public key and can only be decrypted by the respective private key. While the data is encrypted, operations can be performed on the data, which retains confidentiality, and helps organizations achieve...

Homomorphic encryption algorithms are a type of encryption algorithm designed to allow mathematical operations to be performed on encrypted data.  This is an extremely useful property with a number of applications. Data can be in one of three states: at rest, in transit, and in use. Most encryption deals with...

There’s been a lot of buzz surrounding homomorphic encryption because it comes with a lot of promise. It stands out from other encryption methods as it guarantees the encryption of data while it’s being used for computation.In this scenario, organizations can engage in data and analytics, enable secure voting (for...

Join today's leading executives online at the Data Summit on March 9th. Register here. The topics of security and data have become almost inseparable as enterprises move more workloads to the cloud. But unlocking new uses for that data, particularly driving richer AI and machine learning, will require next-generation security....

The goal of the proposed framework is to develop a database model capable of storing encrypted records and applying relational algebra primitives on it without the knowledge of any cryptographic keys or the need for decryption. A trade-off between performance and security is desirable, however we completely discard deterministic encryption...

GitHub - kryptnostic/fhe-core: Libraries for fully homomorphic encryption

The increasing usage of cloud services and collaboration between companies to monetize data is raising concerns over data privacy. Regulations such as the General Data Protection Regulations (GDPR) aim to protect the privacy of consumers, and businesses pay serious fines in case of non-compliance. This creates a tradeoff between data...

The idea The idea is to provide a database as a service to end users in such a way that no one except the user herself can access the data, not even the hosting provider or the database administrator. Advantages A privacy- and/or security-conscious user will have more trust in...