DEEPNESS Lab

Daniel’s talk is about his research on Kubernetes service selection, a challenging and practical problem.
This research is part of his master thesis.

Congratulations to Daniel Dubnikov, whose research work “Adaptive DNSSEC” has been accepted to  ORAC 37.

“Dynamic-Deep Compression Tuning Cloud Costs and ECG Task Performance” is available here.   The paper has been accepted to IEEE/IFIP NOMS  Manage-IoT workshop, 2022.

A new tool enabling MUD comparison and generalization is now available here.  MUDIS analyzes the network behavior of IoT devices, based on their formal description in the MUD files.   MUDIS was developed by Ran Shister and Bar Meyuhas.