<div>
<div>
<p>This dissertation discussed the potential benefits that CAV systems can bring to the
general well-being, and how the threat lies within the CAV system can affect its performance and
functionality.<br></p>
<p>Particularly, this dissertation discovered how CAV technology can benefit homeland
security and crime investigations involving child abduction crimes. By proposing the initial
design network, this dissertation proposed a solution that enhances the current AMBER Alert
system using CAV technology. This dissertation also discussed how CAV technology can help
perception in corner-case driving scenarios and reduce the risk of traffic accidents, by proposing a
dataset that covers various corner cases including different weather and lighting conditions
targeting the work zone. Evaluation is made on the collected data and several impact factors have
been figured out.
</p>
<p>This dissertation also discussed an attack scenario that a ROS-based CAV platform was
attacked by DoS attacks. We analized the system response after we attacked the system.
Discussion and analysis was made on the functionality and stability of the system.
</p>
<p>Overall, we determined that CAV technology can greatly benefit in general well-being,
and threats within the CAV system can cast potential negative benefits once the CAV system is
being attacked.
</p>
</div>
</div>
| Identifer | oai:union.ndltd.org:purdue.edu/oai:figshare.com:article/15040278 |
| Date | 23 July 2021 |
| Creators | Hanlin Chen (11173323) |
| Source Sets | Purdue University |
| Detected Language | English |
| Type | Text, Thesis |
| Rights | CC BY 4.0 |
| Relation | https://figshare.com/articles/thesis/Adaptive_Safety_and_Cyber_Security_for_Connected_and_Automated_Vehicle_System/15040278 |
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