Abstract
Due to the emergence of embedded sensors in many mobile devices, mobile and people-centric sensing has become an interesting research field. A major aspect in this field is that quality and reliability of measurements highly depend on the device’s position and sensing context. A sound level measurement, for instance, delivers highly differing values whether sensed from inside a pocket or while carried in a user’s hand. Mobile collaborative sensing approaches try to overcome this problem by integrating several mobile devices as information sources in order to increase sensing accuracy. However, sharing data with other devices for collaborative sensing in return raises privacy concerns. By exchanging sensed values and context events, users might give away sensitive data, which should not be linkable to them. In this paper, we present a new mobile collaborative sensing protocol, Private Pooling, which protects the users’ privacy by decoupling the data from its contributors in order to allow for anonymous aggregation of sensing information.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Android reference (December 2010), http://developer.android.com/reference/
haggle - A content-centric network architecture for opportunistic communication (2010), http://code.google.com/p/haggle/
Abdelzaher, T., Anokwa, Y., Boda, P., Burke, J., Estrin, D., Guibas, L., Kansal, A., Madden, S., Reich, J.: Mobiscopes for human spaces. IEEE Pervasive Computing 6, 20–29 (2007)
Bao, X., Choudhury, R.R.: Movi: mobile phone based video highlights via collaborative sensing, pp. 357–370 (2010)
Campbell, A.T., Eisenman, S.B., Lane, N.D., Miluzzo, E., Peterson, R.A.: People-centric urban sensing. In: Proceedings of WICON 2006, p. 18. ACM, New York (2006)
Choudhury, T., Borriello, G., Consolvo, S., Haehnel, D., Harrison, B., Hemingway, B., Hightower, J., Klasnja, P.P., Koscher, K., LaMarca, A., Landay, J.A., LeGrand, L., Lester, J., Rahimi, A., Rea, A., Wyatt, D.: The mobile sensing platform: An embedded activity recognition system. IEEE Pervasive Computing 7, 32–41 (2008)
Dargie, W., Poellabauer, C.: Fundamentals of Wireless Sensor Networks: Theory and Practice. Wiley (2010)
Das, T., Mohan, P., Padmanabhan, V.N., Ramjee, R., Sharma, A.: Prism: platform for remote sensing using smartphones. In: Proceedings of MobiSys 2010, pp. 63–76. ACM, New York (2010)
Du, W., Atallah, M.J.: Secure multi-party computation problems and their applications: a review and open problems, pp. 13–22 (2001)
Goldwasser, S.: Multi party computations: past and present. In: Proceedings of PODC 1997, pp. 1–6. ACM, New York (1997)
Grosskreutz, H., Lemmen, B., Rüping, S.: Privacy-preserving data-mining. Informatik-Spektrum 33, 380–383 (2010)
Lane, N.D., Eisenman, S.B., Musolesi, M., Miluzzo, E., Campbell, A.T.: Urban sensing systems: opportunistic or participatory? In: Proceedings of HotMobile 2008, pp. 11–16. ACM, New York (2008)
Lu, H., Pan, W., Lane, N.D., Choudhury, T., Campbell, A.T.: Soundsense: scalable sound sensing for people-centric applications on mobile phones. In: Proceedings of MobiSys 2009, pp. 165–178. ACM, New York (2009)
Miluzzo, E., Cornelius, C.T., Ramaswamy, A., Choudhury, T., Liu, Z., Campbell, A.T.: Darwin phones: the evolution of sensing and inference on mobile phones. In: Proceedings of MobiSys 2010, pp. 5–20. ACM, New York (2010)
Miluzzo, E., Lane, N., Eisenman, S., Campbell, A.: CenceMe: Injecting Sensing Presence into Social Networking Applications, pp. 1–28 (2007)
Miluzzo, E., Papandrea, M., Lane, N.D., Lu, H., Campbell, A.T.: Pocket, Bag, Hand, etc.-Automatically Detecting Phone Context through Discovery, http://www.cs.dartmouth.edu/miluzzo/papers/miluzzo-phonesense10.pdf
Nokia. Nokia eco sensor concept, http://www.nokia.com/environment/devices-and-services/devices-and-accessories/future-concepts/eco-sensor-concept
Raento, M., Oulasvirta, A., Petit, R., Toivonen, H.: Contextphone: A prototyping platform for context-aware mobile applications. IEEE Pervasive Computing 4, 51–59 (2005)
Schmidt, A., Beigl, M., Gellersen, H.-W.: There is more to context than location. Computers & Graphics 23(6), 893–901 (1999)
Teske, H., Furthmüller, J., Waldhorst, O.P.: A Resilient and Energy-saving Incentive System for Resource Sharing in MANETs. In: Proceedings of KiVS 2011, Dagstuhl, Germany. OASIcs, vol. 17, pp. 109–120 (2011)
Yao, A.C.: Protocols for secure computations. In: Annual IEEE Symposium on Foundations of Computer Science, pp. 160–164 (1982)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Wiesner, K., Dürr, M., Duchon, M. (2012). Private Pooling: A Privacy-Preserving Approach for Mobile Collaborative Sensing. In: Prasad, R., Farkas, K., Schmidt, A.U., Lioy, A., Russello, G., Luccio, F.L. (eds) Security and Privacy in Mobile Information and Communication Systems. MobiSec 2011. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 94. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30244-2_5
Download citation
DOI: https://doi.org/10.1007/978-3-642-30244-2_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-30243-5
Online ISBN: 978-3-642-30244-2
eBook Packages: Computer ScienceComputer Science (R0)