A survey of personal privacy protection in public service mashups

Mashups are web application hybrids built from usually independent online services and information sources, commonly for purposes that differ from the original reasons those services were developed in the first place. The intent is usually to make data more useful, often through visualisation, combination, aggregation or the application of distributed expertise. Mashups rely on APIs to leverage content or functionality. APIs come in many varieties and mashup development is often considered an exercise in spaghetti deployment. This means that mashups are not always well-engineered; that they're often brittle; inconsistent; difficult to maintain; and susceptible to unexpected changes at the whim of service and data providers.

[1]  Hal G. Gueutal,et al.  A Field Experiment Comparing Information-Privacy Values, Beliefs, and Attitudes Across Several Types of Organizations , 1983 .

[2]  Jason Hong,et al.  What do we , 2008, WEUSE@ICSE.

[3]  France Bélanger,et al.  A framework for e-government: privacy implications , 2006, Bus. Process. Manag. J..

[4]  Scott R. Klemmer,et al.  Hacking, Mashing, Gluing: Understanding Opportunistic Design , 2008, IEEE Pervasive Computing.

[5]  Lorrie Faith Cranor,et al.  Internet privacy , 1999, CACM.

[6]  Benjamin C. M. Fung,et al.  Privacy-preserving data mashup , 2009, EDBT '09.

[7]  Christoph Treude,et al.  Mashup environments in software engineering , 2010, Web2SE '10.

[8]  Katarina Stanoevska-Slabeva,et al.  Design Principles of Enterprise Mashups , 2009, Wissensmanagement.

[9]  Starr Roxanne Hiltz,et al.  Seven privacy worries in ubiquitous social computing , 2007, SOUPS '07.

[10]  Lorrie Faith Cranor,et al.  P3P: Making Privacy Policies More Useful , 2003, IEEE Secur. Priv..

[11]  Neeli R. Prasad,et al.  Context-aware privacy protection with profile management , 2006, WMASH '06.

[12]  Keith C. Clarke,et al.  Interactive Visual Exploration of a Large Spatio-temporal Dataset: Reflections on a Geovisualization Mashup. , 2007, IEEE Transactions on Visualization and Computer Graphics.

[13]  Samuel Greengard,et al.  Following the crowd , 2011, Commun. ACM.

[14]  Steven Russell,et al.  The rise and fall of government - community partnerships for urban development: grassroots testimony from Colombo , 2000 .

[15]  Katie Shilton,et al.  Four billion little brothers? , 2009, Commun. ACM.

[16]  Mary Beth Rosson,et al.  What’s in a mashup? And why? Studying the perceptions of web-active end users , 2008, 2008 IEEE Symposium on Visual Languages and Human-Centric Computing.

[17]  Halit Oguztüzün,et al.  Legacy Migration to Service-Oriented Computing with Mashups , 2007, International Conference on Software Engineering Advances (ICSEA 2007).

[18]  Wolfgang Ketter,et al.  Introducing an Agile Method for Enterprise Mash-Up Component Development , 2009, 2009 IEEE Conference on Commerce and Enterprise Computing.

[19]  H. Jeff Smith,et al.  Values, personal information privacy, and regulatory approaches , 1995, CACM.

[20]  Chang-Chun Tsai,et al.  The web 2.0 movement: mashups driven and web services , 2009 .

[21]  Vlad Trifa,et al.  Towards physical mashups in the Web of Things , 2009, 2009 Sixth International Conference on Networked Sensing Systems (INSS).

[22]  Fatos Xhafa,et al.  Crowd-Sourcing and Data Mashups Challenges: A Mini Case Study for Assisting and Solving a Disaster Management Scenario , 2010, 2010 International Conference on Intelligent Networking and Collaborative Systems.

[23]  P. Alcock.  Building the Big Society: a new policy environment for the third sector in England , 2010 .

[24]  Fabio Casati,et al.  Understanding Mashup Development , 2008, IEEE Internet Computing.

[25]  A.S. Voulodimos,et al.  Using Personalized Mashups for Mobile Location Based Services , 2008, 2008 International Wireless Communications and Mobile Computing Conference.

[26]  Rüdiger Grimm,et al.  Can P3P help to protect privacy worldwide? , 2000, MULTIMEDIA '00.

[27]  Peter F. Patel-Schneider,et al.  Enabling context-aware and privacy-conscious user data sharing , 2004, IEEE International Conference on Mobile Data Management, 2004. Proceedings. 2004.

[28]  Denilson Barbosa,et al.  Database and XML Technologies , 2010, Lecture Notes in Computer Science.

[29]  Katarina Stanoevska-Slabeva,et al.  Enterprise Mashups: Design Principles towards the Long Tail of User Needs , 2008, 2008 IEEE International Conference on Services Computing.

[30]  Suh-Yin Lee,et al.  Recent Advances in Visual Information Systems , 2002, Lecture Notes in Computer Science.

[31]  Jan Camenisch,et al.  Information privacy?! , 2012, Comput. Networks.

[32]  P. Clutterbuck,et al.  Attitudes towards information privacy , 2001 .

[33]  A Min Tjoa,et al.  Privacy Aspects of Mashup Architecture , 2010, 2010 IEEE Second International Conference on Social Computing.

[34]  Brian Detlor,et al.  Towards a Framework for Government Portal Design: The Government, Citizen and Portal Perspectives , 2002 .

[35]  David Clark,et al.  Open government in Britain: Discourse and practice , 1996 .

[36]  Soon Ae Chun,et al.  Privacy protection in government mashups , 2009, Inf. Polity.

[37]  France Bélanger,et al.  The utilization of e‐government services: citizen trust, innovation and acceptance factors * , 2005, Inf. Syst. J..

[38]  Deqing Zou,et al.  A Hidden Credential Based Oblivious Automated Trust Negotiation Model , 2007 .

[39]  Thomas Santen,et al.  Eliciting confidentiality requirements in practice , 2005, CASCON.

[40]  Bettina Berendt,et al.  Ubiquitous Social Networks: Opportunities and Challenges for Privacy-Aware User Modelling , 2007 .

[41]  R. Adams.  Proceedings , 1947 .

[42]  Andreas Thor,et al.  Dynamic Fusion of Web Data , 2007, XSym.

[43]  Helen Nissenbaum,et al.  Privacy and contextual integrity: framework and applications , 2006, 2006 IEEE Symposium on Security and Privacy (S&P'06).