With the increasing number of Vehicular Autonomous Network (VANET) architectures and applications, user privacy must be addressed and protected. Internet of Things (IoT) and their applications take care of everyday mundane task in order to increase user convenience and productivity. However, studies have shown that IoT architectures can be a weak spot in network security, including data being sent plain text. In this thesis, a VANET architecture is proposed that is capable of securing anonymous data collection from a distributed set of autonomous vehicles. The proposed architecture features a hybrid combination of centralized and decentralized routing concepts. Unlike other VANET implementations, our proposed architecture provides anonymity to users in the network. Lower latency can be achieved by merging data from live short-range ad-hoc routing methods with the data collected from a pseudo-live long range centralized routing methods. The proposed architecture guarantees user anonymity within the VANET framework. Most VANET models assume users do not value the privacy of their identity. We assume that each vehicle is equipped with a VANET computer capable of storing data, performing calculations, and both sending and receiving data wirelessly. Therefore vehicles can communicate directly with each other and exchange data within short distances as well as communicate with long-range wireless infrastructure. Simulation results show the implementation is equipped to handle diverse traffic scenarios as well as deter adversaries to the network from maliciously trying to manipulate collected data.
| Identifer | oai:union.ndltd.org:wpi.edu/oai:digitalcommons.wpi.edu:etd-theses-2273 |
| Date | 17 December 2018 |
| Creators | Stegall, Jabari |
| Contributors | Alexander M. Wyglinski, Advisor, Yarkin Doroz, Committee Member, Krishna K. Venkatasubramanian, Committee Member |
| Publisher | Digital WPI |
| Source Sets | Worcester Polytechnic Institute |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | Masters Theses (All Theses, All Years) |
Page generated in 0.0017 seconds