1 research outputs found
Homomorphic-Encrypted Volume Rendering
Computationally demanding tasks are typically calculated in dedicated data
centers, and real-time visualizations also follow this trend. Some rendering
tasks, however, require the highest level of confidentiality so that no other
party, besides the owner, can read or see the sensitive data. Here we present a
direct volume rendering approach that performs volume rendering directly on
encrypted volume data by using the homomorphic Paillier encryption algorithm.
This approach ensures that the volume data and rendered image are
uninterpretable to the rendering server. Our volume rendering pipeline
introduces novel approaches for encrypted-data compositing, interpolation, and
opacity modulation, as well as simple transfer function design, where each of
these routines maintains the highest level of privacy. We present performance
and memory overhead analysis that is associated with our privacy-preserving
scheme. Our approach is open and secure by design, as opposed to secure through
obscurity. Owners of the data only have to keep their secure key confidential
to guarantee the privacy of their volume data and the rendered images. Our work
is, to our knowledge, the first privacy-preserving remote volume-rendering
approach that does not require that any server involved be trustworthy; even in
cases when the server is compromised, no sensitive data will be leaked to a
foreign party.Comment: Accepted for presentation at IEEE VIS 202