@phdthesis{Engler_2007,
        title = {Fundamental Models and Algorithms for a Distributed Reputation System},
        author = {Michael Engler},
        month = {December},
        school = {University of Stuttgart},
        year = 2007,
        url = {http://elib.uni-stuttgart.de/opus/volltexte/2008/3401/},
        abstract = {With the increased significance of the Internet in our everyday lifes, we embrace its
benefits as seemingly unlimited information source, warehouse and general communication
medium, but sometimes fall prey to its predators. Outside the online world,
social network structures of friends or colleagues allow to identify malicious and reputable
entities and to communicate recommendations or warnings accordingly. When
interacting through open computer networks, these traditional mechanisms used in the
physical world for establishing trust are adapted by reputation systems that allow to
build trust in entities and create social network structures on a much larger scale.
In this dissertation, we investigate various models and algorithms required for realizing
a fully decentralized reputation system with enhanced privacy properties and
fine-grained trust modeling. To ensure the former, we bind trust to virtual identities
instead of real identities and present extended destination routing, an approach that allows
anonymous communication between pseudonyms without exposing any link to a
real identity. To enable the latter, we introduce a generic trust model that allows to model
trust in various context areas in addition to expressing context area dependencies
that are taken into account when updating trust. The model definition permits incorporating
several well-known trust update algorithms from the related work. Subjecting
the algorithms to a set of evaluation scenarios gives valuable inputs regarding their
specific performance. In order to capture the transitivity of trust, we present algorithms
to simplify trust networks and then compute the transitive trust with subjective logic
operators. Finally, we propose mechanisms to protect trust by firstly laying its foundation
in trusted hardware and secondly ensuring the authenticity of recommendations
through the integration of an originality statement.
This reputation system can be utilized by users and relying applications alike to determine
the trustworthiness of other entities. While these building blocks are all essential
for our system, many contributions can be applied to other reputation systems and even
to other research areas as well.},
	biburl = {http://www.bibsonomy.org/bibtex/221835bc381dc3c4b308b42909d642b17/dawinci},
	keywords = {systems protection models model trust reputation privacy distributed recommendation algorithms}
}

@article{Sol_2007b,
        title = {'I've Got Nothing to Hide' and Other Misunderstandings of Privacy},
        author = {Daniel J. Solove},
        journal = {San Diego Law Review},
        pages = {745 pp.},
        volume = 44,
        year = 2007,
        url = {http://ssrn.com/paper=998565},
        biburl = {http://www.bibsonomy.org/bibtex/2ecf194247babbdde92b9c492fe5a9a73/dawinci},
	keywords = {protection identity privacy web wide world}
}

@article{Sol_Hoo_2006,
        title = {A Model Regime of Privacy Protection},
        author = {Daniel J. Solove and Chris J. Hoofnagle},
        edition = {Version 3.0},
        journal = {GWU Law School Public Law Research Paper},
        number = 132,
        series = {Accepted Paper Series},
        year = 2006,
        url = {http://ssrn.com/paper=881294},
        abstract = { A series of major security breaches at companies with sensitive personal information has sparked significant attention to the problems with privacy protection in the United States. Currently, the privacy protections in the United States are riddled with gaps and weak spots. Although most industrialized nations have comprehensive data protection laws, the United States has maintained a sectoral approach where certain industries are covered and others are not. In particular, emerging companies known as "commercial data brokers" have frequently slipped through the cracks of U.S. privacy law. In this article, the authors propose a Model Privacy Regime to address the problems in the privacy protection in the United States, with a particular focus on commercial data brokers. Since the United States is unlikely to shift radically from its sectoral approach to a comprehensive data protection regime, the Model Regime aims to patch up the holes in existing privacy regulation and improve and extend it. In other words, the goal of the Model Regime is to build upon the existing foundation of U.S. privacy law, not to propose an alternative foundation. The authors believe that the sectoral approach in the United States can be improved by applying the Fair Information Practices - principles that require the entities that collect personal data to extend certain rights to data subjects. The Fair Information Practices are very general principles, and they are often spoken about in a rather abstract manner. In contrast, the Model Regime demonstrates specific ways that they can be incorporated into privacy regulation in the United States. },
	biburl = {http://www.bibsonomy.org/bibtex/20b6a371b297f128b6ffd9ca18f6760ab/dawinci},
	keywords = {theft protection identity databases regulation privacy legislation databrokers}
}