Now Reading
Security and Privacy? Now they can go hand in hand

Security and Privacy? Now they can go hand in hand

via CORDIS
via CORDIS
Online identification and authentication keeps transactions secure on the Internet, however this has also implications for your privacy.

Disclosing more personal information than needed online when, say, you log in to your bank website may simplify the bank’s security at the cost of your privacy. Now, thanks to research by the EU-funded project Attribute-based Credentials for Trust ABC4Trust , there is a new approach that keeps systems secure and protects your identity.

For example, at Norrtullskolan secondary school in Söderhamn, Sweden, pupils can access counselling services online. However, until recently the pupils couldn’t access these services using a pseudonym – they had to identify themselves by name so the school could check whether they were allowed to use them.

But in the ABC4Trust pilot scheme, each child is issued with a ‘deck’ of digital certificates that validate information like their enrolment status, their date of birth and so on. This allows the school pupils to enjoy both privacy and security. Instead of having to reveal their whole identity when using the counselling service they can simply use one of the certificates in their deck that pseudonymously verifies they are enrolled at the school.

Read more . . .

 

The Latest on: Online identification and authentication

[google_news title=”” keyword=”Online identification and authentication” num_posts=”10″ blurb_length=”0″ show_thumb=”left”]

via Google News

 

The Latest on: Online identification and authentication

via  Bing News

See Also
A diffractive camera design performs class-specific imaging of target objects with instantaneous all-optical erasure of other classes of objects. This diffractive camera consists of transmissive surfaces structured using deep learning to perform selective imaging of target classes of objects positioned at its input field-of-view. Using the same framework, the authors also demonstrated the design of class-specific permutation and class-specific linear transformation cameras, where the objects of a target data class are pixel-wise permuted or linearly transformed following an arbitrarily selected transformation matrix for all-optical class-specific encryption, while the other classes of objects are irreversibly erased from the output image. The success of class-specific diffractive cameras was experimentally demonstrated using terahertz (THz) waves and 3D-printed diffractive layers that selectively imaged only one class (2) of the MNIST handwritten digit dataset, all-optically erasing the other handwritten digits. CREDIT by Bijie Bai, Yi Luo, Tianyi Gan, Jingtian Hu, Yuhang Li, Yifan Zhao, Deniz Mengu, Mona Jarrahi, and Aydogan Ozcan

 

 

What's Your Reaction?
Don't Like it!
0
I Like it!
0
Scroll To Top