Abstract
Privacy infringements when companies gather customer information are more likely to occur if the customer lacks control over this process. In this paper, a method is described for user self-profiling when engaged in e-commerce over the Internet, by which customers can have greater control over profiles relating to their behaviour or preferences and can exploit this information in a flexible way without revealing their identity. This is achieved using trusted agents that exploit Trusted Computing Platform technology [28].
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Pearson, S. (2003). A Trusted Method for Self-profiling in e-Commerce. In: Falcone, R., Barber, S., Korba, L., Singh, M. (eds) Trust, Reputation, and Security: Theories and Practice. TRUST 2002. Lecture Notes in Computer Science, vol 2631. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36609-1_14
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DOI: https://doi.org/10.1007/3-540-36609-1_14
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