| Keywords
|
Smart vehicles, Cloud security, Change-point detection, Machine learning, Performance measures +
|
| Level
|
Master +
|
| OneLineSummary
|
For treating the probem of cyber attacks against smart vehicles, new change-point detection and anomaly detection methods by means of statistics and machine learning are developed and evaluated. +
|
| Prerequisites
|
Mathematical statistics, machine learning, programming +
|
| References
|
Weber et al: Embedded Hybrid Anomaly Detection for Automotive
CAN Communication, Weber et al: Online Detection of Anomalies in Vehicle Signals using Replicator Neural Networks
|
| StudentProjectStatus
|
Open +
|
| Supervisors
|
Ana Magazinius (RISE Viktoria) +
, Eric Järpe +
, Cristofer Englund +
|
| TimeFrame
|
Spring 2020 +
|
| Title
|
Detection of smart cars cyber attacks +
|
| Categories |
StudentProject +
|
| Modification dateThis property is a special property in this wiki.
|
19 October 2019 20:10:40 +
|
