English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Zendy Plus

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Zendy Tools

Zendy Open

An increasing amount of Internet traffic has its content encrypted. Weaddress the question of whether it is possible to predict the activities takingplace over an encrypted channel, in particular Microsoft's Remote DesktopProtocol. We show that the presence of five typical activities can be detectedwith precision greater than 97\% and recall greater than 94\% in 30-secondtraces. We also show that the design of the protocol exposes fine-grainedactions such as keystrokes and mouse movements which may be leveraged to revealproperties such as lengths of passwords.

Activity Detection from Encrypted Remote Desktop Protocol Traffic