Abstract
Mobile ad hoc network (MANET) has become a practical platform for pervasive services. Various user data could be requested for accessing such a service. However, it is normally difficult for a user to justify whether it is safe and proper to disclose personal data to others in different contexts. For solving this problem, we propose AdPriRec, a context-aware recommender system for preserving user privacy in MANET services. To support frequent changes of node pseudonyms in MANET, we develop a hybrid recommendation generation solution. We apply a trusted recommendation sever who knows the node’s real identity to calculate a recommendation vector based on long term historical experiences. The vector can be also generated at each MANET node according to recent experiences accumulated based on node pseudonyms, while this vector could be further fine-tuned when the recommendation server is accessible. We design a number of algorithms for AdPriRec to generate context-aware recommendations for MANET users. The recommendation vector is calculated based on a number of factors such as data sharing behaviors and behavior correlation, service popularity and context, personal data type, community information of nodes and trust value of each involved party. An example based evaluation illustrates the usage and implication of the factors and shows AdPriRec’s effectiveness. A prototype implementation based on Nokia N900 further proves the concept of AdPriRec design.
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References
Sun, Y., Yu, W., Han, Z., Liu, K.J.R.: Information Theoretic Tramework of Trust Modeling and Evaluation for Ad Hoc Networks. IEEE Journal on Selected Area in Communications 24(2), 305–317 (2006)
Theodorakopoulos, G., Baras, J.S.: On Trust Models and Trust Evaluation Metrics for Ad Hoc Networks. IEEE Journal on Selected Areas in Communications 24(2), 318–328 (2006)
Raya, M., Papadimitratos, P., Gligory, V.D., Hubaux, J.-P.: On Data-Centric Trust Establishment in Ephemeral Ad Hoc Networks. In: IEEE INFOCOM, pp. 1912–1920 (2008)
Zouridaki, C., Mark, B.L., Hejmo, M., Thomas, K.R.: Robust Cooperative Trust Establishment for MANETs. In: SASN 2006: Proceedings of the Fourth ACM Workshop on Security of Ad Hoc and Sensor Networks, pp. 23–34(2006)
Resnick, P., Varian, H.R.: Recommender Systems. Communications of the ACM 40(3), 56–58 (1997)
Hancock, J.T., Toma, C., Ellison, N.: The Truth about Lying in Online Dating Profiles. In: Proceedings of the ACM CHI 2007, pp. 449–452. ACM, New York (2007)
Su, X., Khoshgoftaar, T.M.: A Survey of Collaborative Filtering Techniques. In: Advances in Artificial Intelligence vol. 19 (2009), doi:10.1155/2009/421425
O’Donovan, J., Smyth, B.: Trust in Recommender Systems. In: IUI 2005, pp. 167–174 (2005)
Polat, H., Du, W.L.: Privacy-Preserving Top-N Recommendation on Horizontally Partitioned Data. In: The 2005 IEEE/WIC/ACM International Conference on Web Intelligence, 725–731 (2005)
Luo, Y., Le, J., Chen, H.: A Privacy-Preserving Book Recommendation Model Based on Multi-agent. In: WCSE 2009, pp. 323–327 (2009)
Li, T., Gao, C., Du, J.: A NMF-Based Privacy-Preserving Recommendation Algorithm. In: ICISE 2009, pp. 754–757 (2009)
Bilge, A., Polat, H.: Improving Privacy-Preserving NBC-Based Recommendations by Preprocessing. In: WI-IAT 2010, pp. 143–147 (2010)
Ahn, J., Amatriain, X: Towards Fully Distributed and Privacy-Preserving Recommendations via Expert Collaborative Filtering and RESTful Linked Data. In: WI-IAT 2010, pp. 66–73 (2010)
Tada, M., Kikuchi, H., Puntheeranurak, S.: Privacy-Preserving Collaborative Filtering Protocol Based on Similarity between Items. In: AINA 2010, pp. 573–578 (2010)
Kikuchi, H., Kizawa, H., Tada, M.: Privacy-Preserving Collaborative Filtering Schemes. In: ARES 2009, pp. 911–916 (2009)
Katzenbeisser, S., Petkovic, M.: Privacy-Preserving Recommendation Systems for Consumer Healthcare Services. In: ARES 2008, pp. 889–895 (2008)
Yu, Z., Zhou, X., Zhang, D., Chin, C., Wang, X., Men, J.: Supporting Context-Aware Media Recommendations for Smart Phones. IEEE Pervasive Computing 5(3), 68–75 (2006)
Yap, G., Tan, A., Pang, H.: Discovering and Exploiting Causal Dependencies for Robust Mobile Context-Aware Recommenders. IEEE Transactions on Knowledge and Data Engineering 19(7), 977–992 (2007)
Wang, J., Kodama, E., Takada, T., Li, J.: Mining context-related sequential patterns for recommendation systems. In: CAMP 2010, pp. 270–275 (2010)
Zhang, D., Yu, Z.: Spontaneous and Context-Aware Media Recommendation in Heterogeneous Spaces. In: IEEE VTC 2007, pp. 267–271 (2007)
Chuong, C., Torabi, T., Loke, S.W.: Towards Context-aware Task Recommendation. In: JCPC 2009, pp. 289–292 (2009)
Liiv, I., Tammet, T., Ruotsalo, T., Kuusik, A.: Personalized Context-Aware Recommendations in SMARTMUSEUM: Combining Semantics with Statistics. In: SEMAPRO 2009, pp. 50–55 (2009)
Liu, D., Meng, X., Chen, J.: A Framework for Context-Aware Service Recommendation. In: ICACT 2008, pp. 2131–2134 (2008)
Xiao, H., Zou, Y., Ng, J., Nigul, L.: An Approach for Context-Aware Service Discovery and Recommendation. In: IEEE ICWS 2010, pp. 163–170 (2010)
Seetharam, A., Ramakrishnan, R.: A context sensitive, yet private experience towards a contextually apt recommendation of service. In: IMSAA 2008, pp. 1–6 (2008)
Berkovsky, S., De Luca, E.W., Said, A.: Proceedings of the Workshop on Context-Aware Movie Recommendation (2010)
Ahtiainen, A., Kalliojarvi, K., Kasslin, M., Leppanen, K., Richter, A., Ruuska, P., Wijting, C.: Awareness Networking in Wireless Environments: Means of Exchanging Information. IEEE Vehicular Technology Magazine 4(3), 48–54 (2009)
Yan, Z., Chen, Y.: AdContRep: A privacy enhanced reputation system for MANET content services. In: Yu, Z., Liscano, R., Chen, G., Zhang, D., Zhou, X. (eds.) UIC 2010. LNCS, vol. 6406, pp. 414–429. Springer, Heidelberg (2010)
Wang, J., Wang, F., Yan, Z., Huang, B.: Message Receiver Determination in Multiple Simultaneous IM Conversations. IEEE Intelligent Systems 26(3), 24–31 (2011)
Yan, Z., Liu, C., Niemi, V., Yu, G.: Trust information indication: effects of displaying trust information on mobile application usage. Technical Report NRC-TR-2009-004, Nokia Research Center, http://research.nokia.com/files/NRCTR2009004.pdf
Hu, J., Burmester, M.: LARS: A locally Aware Reputation System for Mobile Ad Hoc Networks. In: Proc. of the 44th ACM Annual Southeast Regional Conf., pp. 119–123 (2006)
Douceur, J.R.: The sybil attack. In: Druschel, P., Kaashoek, M.F., Rowstron, A. (eds.) IPTPS 2002. LNCS, vol. 2429, pp. 251–260. Springer, Heidelberg (2002)
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Yan, Z., Zhang, P. (2011). AdPriRec: A Context-Aware Recommender System for User Privacy in MANET Services. In: Hsu, CH., Yang, L.T., Ma, J., Zhu, C. (eds) Ubiquitous Intelligence and Computing. UIC 2011. Lecture Notes in Computer Science, vol 6905. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23641-9_25
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DOI: https://doi.org/10.1007/978-3-642-23641-9_25
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