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Framework for security and privacy in automotive telematics
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Source International Workshop on Mobile Commerce archive
Proceedings of the 2nd international workshop on Mobile commerce table of contents
Atlanta, Georgia, USA
SESSION: Context and Location table of contents
Pages: 25 - 32  
Year of Publication: 2002
ISBN:1-58113-600-5
Authors
Sastry Duri  IBM Thomas J. Watson Research Center, Hawthorne, New York
Marco Gruteser  IBM Thomas J. Watson Research Center, Hawthorne, New York
Xuan Liu  IBM Thomas J. Watson Research Center, Hawthorne, New York
Paul Moskowitz  IBM Thomas J. Watson Research Center, Hawthorne, New York
Ronald Perez  IBM Thomas J. Watson Research Center, Hawthorne, New York
Moninder Singh  IBM Thomas J. Watson Research Center, Hawthorne, New York
Jung-Mu Tang  IBM Thomas J. Watson Research Center, Hawthorne, New York
Sponsors
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

Automotive telematics may be defined as the information-intensive applications that are being enabled for vehicles by a combination of telecommunications and computing technology. Telematics by its nature requires the capture of sensor data, storage and exchange of data to obtain remote services. In order for automotive telematics to grow to its full potential, telematics data must be protected. Data protection must include privacy and security for end-users, service providers and application providers. In this paper, we propose a new framework for data protection that is built on the foundation of privacy and security technologies. The privacy technology enables users and service providers to define flexible data model and policy models. The security technology provides traditional capabilities such as encryption, authentication, non-repudiation. In addition, it provides secure environments for protected execution, which is essential to limiting data access to specific purposes.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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CITED BY  14

Collaborative Colleagues:
Sastry Duri: colleagues
Marco Gruteser: colleagues
Xuan Liu: colleagues
Paul Moskowitz: colleagues
Ronald Perez: colleagues
Moninder Singh: colleagues
Jung-Mu Tang: colleagues