Name
Title | ||
|---|---|---|
Gan-Sec: Generative Adversarial Network Modeling For The Security Analysis Of Cyber-Physical Production Systems |
Abstract | ||
|---|---|---|
Cyber-Physical Production Systems (CPPS) will usher a new era of smart manufacturing. However, CPPS will be vulnerable to cross-domain attacks due to the interactions between the cyber and physical domains. To address the challenges of modeling cross-domain security in CPPS, we are proposing GAN-Sec, a novel conditional Generative Adversarial Network based modeling approach to abstract and estimate the relations between the cyber and physical domains. Using GAN-Sec, we are able to determine if various security requirements such as confidentiality, availability, and integrity are met. We provide a security analysis of an additive manufacturing system to demonstrate the applicability of GAN-Sec. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.23919/DATE.2019.8715283 | 2019 DESIGN, AUTOMATION & TEST IN EUROPE CONFERENCE & EXHIBITION (DATE) |
Field | DocType | ISSN |
Generative adversarial network,Computer science,Computer security,Real-time computing,Cyber-physical system,Security analysis | Conference | 1530-1591 |
Citations | PageRank | References |
1 | 0.35 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sujit Rokka Chhetri | 1 | 50 | 5.76 |
| Anthony Bahadir Lopez | 2 | 8 | 1.56 |
| Jiang Wan | 3 | 45 | 5.63 |
| Mohammad Abdullah Al Faruque | 4 | 627 | 65.35 |