| Publisher | Springer Science+Business Media | ||
|---|---|---|---|
| Format | 208.6KB PDF | Date added | 28 Apr 2007 |
| Topics | Security Management, Data Recovery - Security, Data Sharing and Integration | ||
| Downloads | 28 | ||
Automotive telematics may be defined as the information-intensive applications enabled for vehicles by a combination of telecommunications and computing technology. Telematics by its nature requires the capture, storage, and exchange of sensor data to obtain remote services. Such data likely include personal, sensitive information, which require proper handling to protect the driver's privacy. The policy manager provides a flexible privacy policy model that allows data subjects to express rich constraint-based policies, including event-based and spatio-temporal constraints. Thus, the policy engine can decide on a large number of requests without user assistance and causes no interruptions while driving. A performance study indicates that the overhead is stable with an increasing number of data subjects.
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