DEEPNESS Lab

Designing Reliable and Efficient Networks and Network Devices

News

March 3, 2024

An innovative approach that utilizes multi-modal representation learning, combining Knowledge Graphs (KG) and Natural Language
Processing (NLP), to automate and enhance the analysis of software vulnerabilities (CVE). The algorithm establishes connections across multiple security entity databases, including CVEs, Common Weakness Enumeration (CWEs), Common Platform Enumeration (CPE) and Common Attack Pattern Enumeration and Classification (CAPECs

Kudo to Daniel Alfasi!

March 5, 2024

New CVE:  CVE-2023-4408: Parsing large DNS messages may cause excessive CPU load

Kudos to Shoam Danino!

 

December 2, 2023

“Exploiting Miscoordination of Microservices in Tandem for Effective DDoS Attacks” has been accepted to INFOCOM 2024

Kudos to  Jhonatan Tavori and Michael Czeizler.

More information soon.

July 18, 2023

Our paper “Localhost Detour from Public to Private Networks” won Best Paper CSCML 2023!  Kudos to the graduate students Dor Israeli and Alon Neuhaus !

Principal Investigators (PIs)

Prof. Anat Bremler-Barr

Prof. David Hay

Prof. Yehuda Afek