Secure integer comparison with third party without homomorphic encryption [migrated]

Suppose a setting similar to Yao’s Millionaire Problem, but with a third party: Multiple users of a (semi-trusted) cloud platform, each in possession of one natural number in the range between 1 and 1,000,000 (for instance), want to secure… Continue reading Secure integer comparison with third party without homomorphic encryption [migrated]

Confidential Computing – SQL Server Always Encrypted w/ Secure Enclave – Customer Managed Keys or alternative

I am looking into ways to build a data warehouse that would house confidential data for 1+ clients. The requirement is that our organization can never obtain access to the decrypted data. There would be a web application clients utilize to… Continue reading Confidential Computing – SQL Server Always Encrypted w/ Secure Enclave – Customer Managed Keys or alternative

Non-interactive multi key encryption and decryption

I need some serious suggestions on my protocol, specifically for decryption.
So the scenario is Organizations A and B encrypt their employees’ records with their respective public keys and store them in a distributed blockchain.
When a Use… Continue reading Non-interactive multi key encryption and decryption

if using more two or more encryption algorithms together how do we compute the strength of the final encryption?

if using more two or more encryption algorithms together how do we compute the strength of the final encryption?
And how would the application on quantum computers
the first two tables I believe to be true/correct – is that correct?
the th… Continue reading if using more two or more encryption algorithms together how do we compute the strength of the final encryption?

DataFleets keeps private data useful, and useful data private, with federated learning and $4.5M seed

As you may already know, there’s a lot of data out there, and some of it could actually be pretty useful. But privacy and security considerations often put strict limitations on how it can be used or analyzed. DataFleets promises a new approach by which databases can be safely accessed and analyzed without the possibility […] Continue reading DataFleets keeps private data useful, and useful data private, with federated learning and $4.5M seed

Is it possible to search HTTPS messages using homomorphic encryption?

We’re trying to build a packet sniffer that can search and quarantine malware in encrypted transactions without decrypting said transactions.
At present, we’re exploring whether homomorphic encryption schemes can help us look for patterns … Continue reading Is it possible to search HTTPS messages using homomorphic encryption?