(Nanowerk Spotlight) Hydrogels are crosslinked polymer networks that can absorb huge volumes of water. In recent years, significant progress has been made with so-called "stimuli-responsive" hydrogels ...

A hospital that wants to use a cloud computing service to perform artificial intelligence data analysis on sensitive patient records needs a guarantee those data will remain private during computation ...

One of the principal challenges of resource sharing on data communication network is its security. This is premised on the fact that once there is connectivity between computers sharing some resources ...

What do you do when you need to perform computations on large data sets while preserving their confidentiality? In other words, you would like to gather analytics, for example, on user data, without ...

Data encryption performs two purposes: it protects data against internal prying eyes, and it protects data against external threats (hacking, theft of backup tapes, etc.) Encryption in the database ...

AI and privacy needn’t be mutually exclusive. After a decade in the labs, homomorphic encryption (HE) is emerging as a top way to help protect data privacy in machine learning (ML) and cloud computing ...

TOKYO--(BUSINESS WIRE)--Fortanix® Inc., a leader in data-first cybersecurity and pioneer of Confidential Computing, today announced the introduction of expanded Key Insight solutions, and the addition ...

Data storage security covers a wide landscape, including legal compliance, e-discovery, user access control and the physical security of data storage media. In this article we will focus on ...

Malicious MEV attacks pose a significant threat to traders on Ethereum. Our latest research shows that almost 2,000 sandwich attacks happen daily and more than $2 million is extracted from the network ...

In December 2019, popular document database MongoDB added a fairly radical new feature to the platform: field-level database encryption. At first glance, one might wonder whether this is a meaningful ...