Lattice Based Privacy Negotiation Rule Generation for Context-Aware Service

Online privacy has consistently been a major concern for customers, growing commensurately with the growth of online commerce. Individuals often have serious concerns that their online activities are being monitored, which can prevent them from using online services. With this concern in view, service providers have started making their privacy policies more clear to customers. However, legacy systems often lack flexibility and the inability to adapt to user's interests, which are often the main reasons for inappropriate agreement. Negotiation between the service provider and user can be a possible solution to reach an agreement which seems appealing and profitable to both parties. In this paper we have developed a negotiation mechanism using the concept lattice approach. Using concept lattices in a privacy policy makes it flexible and allows both the parties to sacrifice a few interests for mutual benefits and appropriate agreement.

[1]  R. Bies,et al.  Consumer Privacy: Balancing Economic and Justice Considerations , 2003 .

[2]  H. Raghav Rao,et al.  A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents , 2008, Decis. Support Syst..

[3]  D. E. Palmer.  Pop-Ups, Cookies, and Spam: Toward a Deeper Analysis of the Ethical Significance of Internet Marketing Practices , 2005 .

[4]  Barbara L. Gross,et al.  What consumers know and what they do: An investigation of consumer knowledge, awareness, and use of privacy protection strategies , 2003 .

[5]  Ismail Hakki Toroslu,et al.  A Semantic-Based User Privacy Protection Framework for Web Services , 2003, ITWP.

[6]  M. E. Gordon,et al.  Direct Mail Privacy-Efficiency Trade-offs within an Implied Social Contract Framework , 1993 .

[7]  Kai Lung Hui,et al.  Consumer Privacy and Marketing Avoidance: A Static Model , 2008, Manag. Sci..

[8]  Jihoon Kim,et al.  Concept lattices for visualizing and generating user profiles for context-aware service recommendations , 2009, Expert Syst. Appl..

[9]  David C. Yen,et al.  A new reverse auction agent system for m-commerce using mobile agents , 2005, Comput. Stand. Interfaces.

[10]  Oliver Günther,et al.  Privacy in e-commerce: stated preferences vs. actual behavior , 2005, CACM.

[11]  M. Culnan.  Consumer awareness of name removal procedures: Implications for direct marketing , 1995 .

[12]  Asuman Dogac,et al.  A Semantic based Privacy Framework for Web Services , 2003 .

[13]  Perri.  Who wants privacy protection, and what do they want? , 2002 .

[14]  Sören Preibusch,et al.  Implementing Privacy Negotiations in E-Commerce , 2006, APWeb.

[15]  Yanchun Zhang,et al.  Frontiers of WWW Research and Development - APWeb 2006, 8th Asia-Pacific Web Conference, Harbin, China, January 16-18, 2006, Proceedings , 2006, APWeb.

[16]  Paul Wang,et al.  Relationship issues in creating the customer database , 1993 .

[17]  H. Teo,et al.  Volunteering personal information on the internet: Effects of reputation, privacy notices, and rewards on online consumer behavior , 2004 .

[18]  M. Jones.  Privacy: A Significant Marketing Issue for the 1990s , 1991 .