Name
Abstract | ||
|---|---|---|
In vehicular networks, vehicle claimed positions should be independently verified to help protect the wider network against location-spoofing attacks. In this work, we propose a new solution to the problem of location verification using the Cramer-Rao Bound (CRB) on location accuracy. Compared to known-optimal solutions, our technique has the advantage that it does not depend on a priori information on the probability of any vehicle being malicious. To analyze the performance of our new solution, we compare its operation, under Received Signal Strength (RSS) inputs, with a known optimal solution for this problem that assumes the probability of a vehicle being malicious is known. The results show that our new solution provides close to optimal performance over a wide range of anticipated channel conditions. Our solution is simple to deploy and can easily be integrated into a host of vehicular applications that use location information as an input. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/CAVS51000.2020.9334684 | 2020 IEEE 3rd Connected and Automated Vehicles Symposium (CAVS) |
Keywords | DocType | ISBN |
vehicular applications,location information verification,vehicular networks,location-spoofing attacks,Cramer-Rao bound,location accuracy,optimal solution,optimal performance,received signal strength inputs,CRB,probability,channel conditions | Conference | 978-1-7281-9002-0 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Waheeda Jabbar | 1 | 0 | 0.34 |
| Robert A. Malaney | 2 | 401 | 37.72 |
| Shihao Yan | 3 | 513 | 42.67 |