Dr. Mehran Goli and Prof. Dr. Rolf Drechsler awarded with Best Paper Award of FDL 2021
At the “Forum on Specification & Design Languages (FDL)”, which took place from 8 to 10 September 2021 hybrid, the scientists Dr. Mehran Goli and Prof. Dr. Rolf Drechsler, both from the DFKI research department Cyber-Physical Systems, received the Best Paper Award for their publication entitled “VIP-VP: Early Validation of SoCs Information Flow Policies using SystemC-based Virtual Prototypes”.
Best Paper Award, FDL 2021
(Reference: FDL 2021)
The two scientists show how to optimise the design flow and shorten time-to-market. The advent of Virtual Prototypes (VPs) at the Electronic System Level (ESL) plays an important role in modernising the system-on-chips (SoCs) design flow. Leveraging VPs and extending their use-cases for early security validation are shown as a promising direction. As the cost of fixing any security flaws increases with the stage of development, VP-based security validation can significantly avoid costly iterations. In this paper, we propose VIP-VP, a novel VP-based dynamic information flow analysis approach at the ESL.VIP-VP enables designers to validate the information flow policies of a given VP-based SoC against security threat models, such as information leakage (confidentiality) and unauthorized access to data in a memory (integrity). Experimental results including a real-world VP-based SoC demonstrate the scalability and applicability of the proposed approach.
With this year’s award, scientists from the DFKI Cyber-Physical Systems research department receive the FDL’s Best Paper Award for their outstanding research work for the second year in a row.
Contact:
Dr. Mehran Goli
German Research Center for Artificial Intelligence (DFKI)
Cyber-Physical Systems
Phone: +49 421 218 63959
E-mail: Mehran.Goli@dfki.de
Breaking News
-
Thursday, 20 Jul 2017Mission Titelverteidigung: B-Human spielt im „Champions Cup“ bei der RoboCup-Weltmeisterschaft 2017 in Japan
-
Wednesday, 28 Jun 2017DFG-Sonderforschungsbereich mit DFKI-Beteiligung: Roboter lernen ungenaue Anweisungen verstehen
-
Thursday, 8 Jun 2017EU-Projekt CrowdHEALTH – Medizinischer Erkenntnisgewinn durch die Analyse heterogener Gesundheitsdaten
-
Wednesday, 7 Jun 2017Schülerherbstpraktikum am DFKI: Wissenschaftler gewähren Einblick in ihren Berufsalltag
-
Monday, 8 May 2017Bremer Fußballroboter sind weiterhin unbesiegbar
