Can You Still See Me?: Reconstructing Robot Operations Over End-to-End Encrypted Channels
Shah, Ryan, Ahmed, Chuadhry Mujeeb, Nagaraja, Shishir
–arXiv.org Artificial Intelligence
Although eavesdropping and fingerprinting Connected robots play a key role in Industry 4.0, providing automation is a more passive opportunity for attackers, the resulting attacks and higher efficiency for many industrial workflows. Unfortunately, on robotic operations are still of importance. Even if strict security these robots can leak sensitive information regarding these requirements are conformed to, such as using cryptographic measures operational workflows to remote adversaries. While there exists to ensure the confidentiality of transmitted data, there are mandates for the use of end-to-end encryption for data transmission still arising threats that cannot be ignored. The question we aim in such settings, it is entirely possible for passive adversaries to address is whether it is still possible for an adversary to infer to fingerprint and reconstruct entire workflows being carried out information about what operations a robot is carrying out? Further, - establishing an understanding of how facilities operate. In this can this be successful even when the communication is protected paper, we investigate whether a remote attacker can accurately fingerprint by appropriate channel security technology (e.g. TLS)? robot movements and ultimately reconstruct operational workflows.
arXiv.org Artificial Intelligence
Sep-21-2022
- Country:
- Europe > United Kingdom (0.14)
- North America
- United States (0.67)
- Canada > Ontario
- Waterloo Region > Waterloo (0.04)
- Asia
- Middle East
- Jordan (0.04)
- Iraq > Muthanna Governorate (0.04)
- Japan > Honshū
- Kansai > Hyogo Prefecture > Kobe (0.04)
- Middle East
- Genre:
- Workflow (1.00)
- Research Report > New Finding (1.00)
- Industry:
- Technology: