dc.contributor.author |
Patel, Yash |
|
dc.contributor.author |
Rughani, Dr. Parag |
|
dc.date.accessioned |
2024-10-12T21:36:10Z |
|
dc.date.available |
2024-10-12T21:36:10Z |
|
dc.date.issued |
2025-01-01 |
|
dc.identifier.uri |
https://journal.uob.edu.bh:443/handle/123456789/5905 |
|
dc.description.abstract |
In the face of escalating cybersecurity threats targeting robotic systems, the need for advanced forensic frameworks
has become critical. Robotic systems, now crucial in key sectors, lack specialized forensic tools, leading to vulnerabilities in security
and operational reliability. This article introduces RoArch, a novel forensic framework tailored for robotic systems, addressing the
urgent need for specialized forensic tools in this fast-evolving domain. As robotics become integral to sectors like healthcare, defense,
and industrial automation, the demand for tailored forensic methodologies has risen. RoArch features two main components: the
RoboShell tool for interactive command execution and anomaly detection, and the RuFo framework for capturing live and volatile data,
designed to work with both ROS and ROS2 platforms. This research delves into RoArch’s architecture, functionality, and practical
effectiveness, with a focus on its versatility in various robotic environments and forensic challenges. Through an in-depth analysis,
the article illustrates RoArch’s utility in scenarios such as cyber security breach investigations in TurtleBot3 robots, underlining its
real-world applicability. RoArch represents a significant leap in robotic forensics, promising to improve the reliability and security of
robotic systems in numerous industries. The paper concludes by discussing RoArch’s future potential in robotic forensics, advocating
for expanded compatibility and the integration of machine learning for enhanced predictive analysis. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
University Of Bahrain |
en_US |
dc.subject |
Robotic Forensics |
en_US |
dc.subject |
Robotic Cybersecurity |
en_US |
dc.subject |
ROS Cybersecurity |
en_US |
dc.subject |
ROS Forensics |
en_US |
dc.subject |
Robotic Incident Response |
en_US |
dc.subject |
Robotic Incident Management |
en_US |
dc.title |
RoArch: A Novel Approach for Handling Security Incidents in ROS-Based Systems |
en_US |
dc.identifier.doi |
http://dx.doi.org/10.12785/ijcds/XXXXXX |
|
dc.volume |
17 |
en_US |
dc.issue |
1 |
en_US |
dc.pagestart |
1 |
en_US |
dc.pageend |
12 |
en_US |
dc.contributor.authorcountry |
Gujarat |
en_US |
dc.contributor.authoraffiliation |
School of Doctoral Studies & Research, National Forensic Sciences University, Gandhinagar |
en_US |
dc.contributor.authoraffiliation |
School of Cyber Security & Digital Forensics, National Forensic Sciences University, Gandhinagar |
en_US |
dc.source.title |
International Journal of Computing and Digital Systems |
en_US |
dc.abbreviatedsourcetitle |
IJCDS |
en_US |