Logo image
CRV: Automated Cyber-Resiliency Reasoning for System Design Models
Conference proceeding   Open access

CRV: Automated Cyber-Resiliency Reasoning for System Design Models

Daniel Larraz, Robert Lorch, Moosa Yahyazadeh, M. Fareed Arif, Omar Chowdhury and Cesare Tinelli
2023 Formal Methods in Computer-Aided Design (FMCAD), pp.209-220
10/24/2023
DOI: 10.34727/2023/isbn.978-3-85448-060-0_29
url
https://doi.org/10.34727/2023/isbn.978-3-85448-060-0View
Published (Version of record) Open Access

Abstract

We present the design and implementation of an automated static analysis approach and corresponding diagnostic tool, called Cyber Resiliency Verifier (CRV), to check whether a system design satisfies its end-to-end guarantees when the integrity of one or more of its components cannot be guaranteed. CRV's key insight is to reason about effects of integrity attacks instead of concrete attacks, enabling it to reason also about the impact of future attacks having the same captured effects. We demonstrate CRV's effectiveness with a case study on a realistic design of an unmanned aerial delivery drone.
Cryptography Cognition Design automation Drones Resilience Static analysis

Details

Metrics

66 Record Views
Logo image