Abstract
Online auctions are among the most important e-commerce services. Unfortunately it is very difficult to assure trust in such customer-to-customer environment. Most auction sites utilize a very simple participation counts system for reputation rating. This feedback-based reputation systems do not differentiate between sellers who trade in luxury goods and those who sell worthless trinkets. A fraudster can easily gain reputation by selling hundreds of cheap books and then cheat while selling a few expensive TV sets which are not as good as described on item page.
In this paper we present a novel trust management method called Electrostatic Force Method (EFM) which calculates Personal Subjective Trust instead of overall reputation value. The trust value depends on price and category of an item one wants to buy. In this method a seller could have high trust value for someone who wants to buy a book and at the same time this seller may not be trustworthy for someone who wants to buy a TV set. Furthermore our method can be applied in addition to the system currently used by eBay-like online auction sites because it does not require any additional information other than positive, negative or neutral feedback on transactions.
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Leszczyński, K., Zakrzewicz, M. (2011). Electrostatic Force Method:. In: Furnell, S., Lambrinoudakis, C., Pernul, G. (eds) Trust, Privacy and Security in Digital Business. TrustBus 2011. Lecture Notes in Computer Science, vol 6863. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22890-2_1
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DOI: https://doi.org/10.1007/978-3-642-22890-2_1
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