2 research outputs found
Efficient Ephemeral Elliptic Curve Cryptographic Keys
We show how any pair of authenticated users can on-the-fly agree on an elliptic curve group that is unique to their communication session, unpredictable to outside observers, and secure against known attacks. Our proposal is suitable for deployment on constrained devices such as smartphones, allowing them to efficiently generate ephemeral parameters that are unique to any single cryptographic application such as symmetric key agreement. For such applications it thus offers an alternative to long term usage of standardized or otherwise pre-generated elliptic curve parameters, obtaining security against cryptographic attacks aimed at other users, and eliminating the need to trust elliptic curves generated by third parties
Quantitative Analysis of Dynamic Association in Live Biological Fluorescent Samples
Determining vesicle localization and association in live microscopy may be challenging due to non-simultaneous imaging of
rapidly moving objects with two excitation channels. Besides errors due to movement of objects, imaging may also
introduce shifting between the image channels, and traditional colocalization methods cannot handle such situations. Our
approach to quantifying the association between tagged proteins is to use an object-based method where the exact match
of object locations is not assumed. Point-pattern matching provides a measure of correspondence between two point-sets
under various changes between the sets. Thus, it can be used for robust quantitative analysis of vesicle association between
image channels. Results for a large set of synthetic images shows that the novel association method based on point-pattern
matching demonstrates robust capability to detect association of closely located vesicles in live cell-microscopy where
traditional colocalization methods fail to produce results. In addition, the method outperforms compared Iterated Closest
Points registration method. Results for fixed and live experimental data shows the association method to perform
comparably to traditional methods in colocalization studies for fixed cells and to perform favorably in association studies for
live cells.peerReviewe