LOGIN TO YOUR ACCOUNT

Username
Password
Remember Me
Or use your Academic/Social account:

CREATE AN ACCOUNT

Or use your Academic/Social account:

Congratulations!

You have just completed your registration at OpenAire.

Before you can login to the site, you will need to activate your account. An e-mail will be sent to you with the proper instructions.

Important!

Please note that this site is currently undergoing Beta testing.
Any new content you create is not guaranteed to be present to the final version of the site upon release.

Thank you for your patience,
OpenAire Dev Team.

Close This Message

CREATE AN ACCOUNT

Name:
Username:
Password:
Verify Password:
E-mail:
Verify E-mail:
*All Fields Are Required.
Please Verify You Are Human:
fbtwitterlinkedinvimeoflicker grey 14rssslideshare1
Avoine, Gildas; Calderoni, Luca; Delvaux, Jonathan; Maio, Dario; Palmieri, Paolo (2014)
Publisher: Elsevier
Languages: English
Types: Article
Subjects: Sensitive data management, Privacy preserving technology, Public transport, Privacy

Classified by OpenAIRE into

ACM Ref: ComputingMilieux_COMPUTERSANDSOCIETY
Abstract Modern public transportation companies often record large amounts of information. Privacy can be safeguarded by discarding nominal tickets, or introducing anonymization techniques. But is anonymity at all possible when everything is recorded? In this paper we discuss travel information management in the public transport scenario and we present a revealing case study (relative to the city of Cesena, Italy), showing that even anonymous 10-ride bus tickets may betray a user's privacy expectations. We also propose a number of recommendations for the design and management of public transport information systems, aimed at preserving the users’ privacy, while retaining the useful analysis features enabled by the e-ticketing technology.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • Asadpour, M., Dashti, M. T., 2011. A privacy-friendly RFID protocol using reusable anonymous tickets. In: 10th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (IEEE TrustCom-11). IEEE Comp. Soc., Changsha, China, pp. 206-213.
    • Avoine, G., Martin, T., Szikora, J.-P., March-April 2010. Lire son passe navigo en un clin d'oeil. Multi-System & Internet Security Cookbook - MISC 48.
    • Barbaro, M., Zeller, T. J., 2006. A face is exposed for aol searcher no. 4417749. The New York Times, 9 August 2006. Avbl.: http:// www.nytimes.com/2006/08/09/technology/09aol.html.
    • Calderoni, L., Maio, D., Palmieri, P., 2012. Location-aware mobile services for a smart city: Design, implementation and deployment. JTAER 7 (3), 74-87.
    • de Grange, L., Gonzlez, F., Muoz, J. C., Troncoso, R., 2013. Aggregate estimation of the price elasticity of demand for public transport in integrated fare systems: The case of transantiago. Transport Policy 29 (0), 178 - 185.
    • Diaz, C., Gu¨rses, S., 2012. Understanding the landscape of privacy technologies. In: Proceedings of the Information Security Summit '12. pp. 58-63.
    • Geuss, M., 2013. Japanese railway company plans to sell data from e-ticket records. Ars Technica, 7 July 2013. Avbl.: http://arstechnica.com/business/2013/07/japaneserailway-company-plans-to-sell-data-from-eticket-records/.
    • Heydt-Benjamin, T. S., Chae, H.-J., Defend, B., Fu, K., 2006. Privacy for public transportation. In: PET 2006. Vol. 4258 of Lecture Notes in Computer Science. Springer, pp. 1-19.
    • Istituto Nazionale di Statistica (ISTAT), 2011. Focus: Trasporti urbani. Istat, 5 April 2011. Avbl.: http://www.ontit.it/ opencms/export/sites/default/ont/it/documenti/ files/ONT_2011-04-06_02603.pdf.
    • Jiang, W., Clifton, C., 2006. A secure distributed framework for achieving k-anonymity. VLDB J. 15 (4), 316-333.
    • Kerschbaum, F., Lim, H. W., Gudymenko, I., 2013. Privacypreserving billing for e-ticketing systems in public transportation. In: Workshop on Privacy in the Electronic Society.
    • Liu, Z., Bonazzi, R., Fritscher, B., Pigneur, Y., 2011. Privacy-friendly business models for location-based mobile services. J. of Theoretical and Applied Electronic Commerce Research 6 (2), 90-107.
    • Peng, K., Bao, F., 2010. A secure rfid ticket system for public transport. In: Foresti, S., Jajodia, S. (Eds.), DBSec. Vol. 6166 of Lecture Notes in Computer Science. Springer, pp. 350-357.
    • Sadeghi, A.-R., Visconti, I., Wachsmann, C., 2008. User privacy in transport systems based on rfid e-tickets. In: Bettini, C., Jajodia, S., Samarati, P., Wang, X. S. (Eds.), PiLBA. Vol. 397 of CEUR Workshop Proceedings. CEUR-WS.org.
    • Salonen, J., 2011. Evaluating the security and privacy of near field communication - case: Public transportation. In: Jung, S., Yung, M. (Eds.), WISA. Vol. 7115 of Lecture Notes in Computer Science. Springer, pp. 242-255.
    • Sampaio, B. R., Neto, O. L., Sampaio, Y., 2008. E ciency analysis of public transport systems: Lessons for institutional planning. Transportation Research Part A: Policy and Practice 42 (3), 445 - 454.
    • Schwaig, K. S., Segars, A. H., Grover, V., Fiedler, K. D., 2013. A model of consumers' perceptions of the invasion of information privacy. Information & Management 50 (1), 1-12.
    • Tseytin, G., Hofmann, M., Lyons, D., O'Mahony, M., 2006. Tracing individual public transport customers from an anonymous transaction database. J. of Public Transportation 9 (4), 47-60.
  • No related research data.
  • Discovered through pilot similarity algorithms. Send us your feedback.

Share - Bookmark

Cite this article