SCOPE: Secure Compiling of PLCs in Cyber-Physical Systems
Not on the map. Why?
Abstract (arXiv)
Cyber-Physical Systems (CPS) are being widely adopted in critical infrastructures, such as smart grids, nuclear plants, water systems, transportation systems, manufacturing and healthcare services, among others. However, the increasing prevalence of cyberattacks targeting them raises a growing security concern in the domain. In particular, memory-safety attacks, that exploit memory-safety vulnerabilities, constitute a major attack vector against real-time control devices in CPS. Traditional IT countermeasures against such attacks have limitations when applied to the CPS context: they typically incur in high runtime overheads; which conflicts with real-time constraints in CPS and they often abort the program when an attack is detected, thus harming availability of the system, which in turn can potentially result in damage to the physical world. In this work, we propose to enforce a full-stack memory-safety (covering user-space and kernel-space attack surfaces) based on secure compiling of PLCs to detect memory-safety attacks in CPS. Furthermore, to ensure availability, we enforce a resilient mitigation technique that bypasses illegal memory access instructions at runtime by dynamically instrumenting low-level code. We empirically measure the computational overhead caused by our approach on two experimental settings based on real CPS. The experimental results show that our approach effectively and efficiently detects and mitigates memory-safety attacks in realistic CPS.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 23 Dec 2020.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2023: 3.
3 papers.
- 2023Image Clustering using Restricted Boltzman Machinecited by 2
- 2023Deep Learning Based Face Recognition Method using Siamese Networkcited by 2
- 2023Unsupervised Deep Learning Image Verification Methodcited by 1
- 2023Unsupervised Deep Learning Image Verification Method22 Dec 2023
- 2023Deep Learning Based Face Recognition Method using Siamese Network21 Dec 2023
- 2023Image Clustering using Restricted Boltzman Machine21 Dec 2023