Modern communication systems and information technology create significant new threats to information privacy. In this paper, we discuss the need for proper privacy protection in cooperative intelligent transportation systems (cITS), one instance of such systems. We outline general principles for data protection and their legal basis and argue why pure legal protection is insufficient. Strong privacy-enhancing technologies need to be deployed in cITS to protect user data while it is generated and processed. As data minimization cannot always prevent the need for disclosing relevant personal information, we introduce the new concept of mandatory enforcement of privacy policies. This concept empowers users and data subjects to tightly couple their data with privacy policies and rely on the system to impose such policies onto any data processors. We also describe the PRECIOSA Privacy-enforcing Runtime Architecture that exemplifies our approach. Moreover, we show how an application can utilize this architecture by applying it to a pay as you drive (PAYD) car insurance scenario.
|Title of host publication||Proceedings of the Intelligent Information Privacy Management Symposium, AAAI Spring Symposium|
|Place of Publication||Stanford, CA, USA|
|Number of pages||6|
|Publication status||Published - Mar 2010|
|Event||2010 AAAI Spring Symposium on Intelligent Information Privacy Management Symposium - Stanford University, Stanford, United States|
Duration: 1 Mar 2010 → 1 Mar 2010
|Workshop||2010 AAAI Spring Symposium on Intelligent Information Privacy Management Symposium|
|Period||1/03/10 → 1/03/10|
Kargl, F., Schaub, F., & Dietzel, S. (2010). Mandatory Enforcement of Privacy Policies using Trusted Computing Principles. In Proceedings of the Intelligent Information Privacy Management Symposium, AAAI Spring Symposium (pp. 104-109). Stanford, CA, USA: AAAI.