Privacy Protection through Unlinkability of Customer Activities in Business Processes Using Mobile Agents

Enzmann, Matthias; Kunz, Thomas; Schneider, Markus

doi:10.1007/3-540-45705-4_33

Cited by 3 publications

(6 citation statements)

References 10 publications

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“…However, preventing this is out of scope of this work. In order to achieve unlinkability for electronic purchases in general, additional technologies have to be used, e.g., unlinkability of search and order phases proposed in Enzmann et al (2002b), Enzmann et al (2002a), payment systems that allow the customer to remain anonymous with respect to the vendor (Chaum, 1989;Camenisch et al, 1996), anonymity networks as in Chaum (1981), Reed et al (1998), or privacyfriendly delivery in case of hard goods similar to the approach proposed in Enzmann and Eckert (2002).…”

Section: Requirementsmentioning

confidence: 99%

Improving Customer Retention in E-Commerce through a Secure and Privacy-Enhanced Loyalty System

Enzmann

Schneider

2005

Inf Syst Front

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Loyalty systems provide an interesting possibility for vendors in customer relationship management. This holds for both real world and online vendors. Many vendors apply loyalty systems to collect customer-specific data that may be exploited for many reasons, e.g., price discrimination and direct marketing. As a consequence, beside some potential benefits of a loyalty system, customers may also fear an invasion of privacy, and thus often refuse to participate in such programs. Thus, a vendor may have problems to turn privacy sensitive people into loyal customers using a typical loyalty system. In this paper, we present two variants of a privacy-friendly loyalty system to be used by online vendors for issuing loyalty points. The systems prevent vendors from exploiting data for the creation of customer profiles by providing unconditional unlinkability of loyalty points with regard to purchases. We propose a simple token-based approach and a counter-based approach which is much more efficient while preserving the privacy and security properties. Furthermore, the counter-based loyalty system prevents pooling of loyalty points which were issued to distinct customers.

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Section: Requirementsmentioning

confidence: 99%

Improving Customer Retention in E-Commerce through a Secure and Privacy-Enhanced Loyalty System

Enzmann

Schneider

2005

Inf Syst Front

Self Cite

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“…However, preventing this is out of scope of this work. In order to achieve unlinkability for electronic purchases in general, additional technologies have to be used, e.g., unlinkability of search and order phases proposed in [8], payment systems that allow the customer to remain anonymous with respect to the vendor [5,2], anonymity networks as in [3,14], or privacyfriendly delivery in case of hard goods similar to the approach proposed in [7].…”

Section: Privacymentioning

confidence: 99%

“…For instance, in the area of payment systems, the unlinkability of widthdrawal and desposit has been considered [5,2]. In [8], a solution to establish the unlinkability of the customer's search and order phases has been proposed. In this context, we provide a solution to guarantee that unlinkability achieved by other techniques still holds when using a loyalty system.…”

Section: Related Workmentioning

confidence: 99%

A privacy-friendly loyalty system for electronic marketplaces

Enzmann

Schneider

2004

IEEE International Conference on E-Technology, E-Commerce and E-Service, 2004. EEE '04. 2004

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“…For instance, in the area of payment systems, the unlinkability of widthdrawal and desposit has been considered [12,9]. In [16], a solution to establish the unlinkability of the customer's search and order phases has been proposed. In this context, we provide a solution to guarantee that unlinkability achieved by other techniques still holds when using a loyalty system.…”

Section: Related Workmentioning

confidence: 99%

“…However, preventing this is out of scope of this work. In order to achieve unlinkability for electronic purchases in general, additional technologies have to be used, e.g., unlinkability of search and order phases proposed in [16], payment systems that allow the customer to remain anonymous with respect to the vendor [12,9], anonymity networks as in [11,27], or privacy-friendly delivery in case of hard goods similar to the approach proposed in [15].…”

Section: Requirementsmentioning

confidence: 99%

A Privacy-Friendly Loyalty System Based on Discrete Logarithms over Elliptic Curves

Enzmann¹,

Fischlin²,

Schneider³

2004

Financial Cryptography

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Abstract. Systems for the support of customer relationship management are becoming increasingly attractive for vendors. Loyalty systems provide an interesting possibility for vendors in customer relationship management. This holds for both real world and online vendors. However, beside some potential benefits of a loyalty system, customers may also fear an invasion into their privacy, and may thus refuse to participate in such programs. In this paper, we present a privacyfriendly loyalty system to be used by online vendors to issue loyalty points. The system prevents vendors from exploiting data for the creation of customer profiles by providing unconditional unlinkability of loyalty points with regard to purchases. In the proposed system, we apply the difficulty for the computation of discrete logarithms in a group of prime order to construct a secure and privacy-friendly counter. More precisely, all computations are carried out over special cryptographic groups based on elliptic curves where the decisional DiffieHellman problems can be solved easily while the computational Diffie-Hellman is believed to be hard.

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Privacy Protection through Unlinkability of Customer Activities in Business Processes Using Mobile Agents

Cited by 3 publications

References 10 publications

Improving Customer Retention in E-Commerce through a Secure and Privacy-Enhanced Loyalty System

Improving Customer Retention in E-Commerce through a Secure and Privacy-Enhanced Loyalty System

A privacy-friendly loyalty system for electronic marketplaces

A Privacy-Friendly Loyalty System Based on Discrete Logarithms over Elliptic Curves

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