Minimizing transitive trust threats in software management systems

We consider security threats in software installation processes, posed by transitively trusted dependencies between packages from distinct repositories. To analyse them, we present SecureNDC, a Coq implemented calculus using an explicit trust function to bridge repository access and software package installation rights. Thereby, we resolve a version of the minimum install problem under trust conditions on repositorie

Minimizing transitive trust threats in software management systems

We consider security threats in software installation processes, posed by transitively trusted dependencies between packages from distinct repositories. To analyse them, we present SecureNDC, a Coq implemented calculus using an explicit trust function to bridge repository access and software package installation rights. Thereby, we resolve a version of the minimum install problem under trust conditions on repositorie

New forms of collaborative innovation and production on the internet

The Internet has enabled new forms of large-scale collaboration. Voluntary contributions by large numbers of users and co-producers lead to new forms of production and innovation, as seen in Wikipedia, open source software development, in social networks or on user-generated content platforms as well as in many firm-driven Web 2.0 services. Large-scale collaboration on the Internet is an intriguing phenomenon for scholarly debate because it challenges well established insights into the governance of economic action, the sources of innovation, the possibilities of collective action and the social, legal and technical preconditions for successful collaboration. Although contributions to the debate from various disciplines and fine-grained empirical studies already exist, there still is a lack of an interdisciplinary approach

New forms of collaborative innovation and production on the internet : an interdisciplinary perspective

Contents Introduction 1 New forms of collaborative innovation and production on the Internet : Volker Wittke and Heidemarie Hanekop Interdisciplinary perspectives on collaborative innovation and production: Conceptual debates 2 Customer Co-Creation: Open Innovation with Customers : Frank Piller, Christoph Ihl and Alexander Vossen 3 Governing Social Production : Niva Elkin-Koren 4 Trust Management in Online Communities : Audun Jøsang 5 Building a reputation system for Wikipedia : Christian Damsgaard Jensen 6 Cooperation in Wikipedia from a Network Perspective : Christian Stegbauer Firm driven collaborative innovation and production: Case studies 7 Managing a New Consumer Culture: “Working Consumers” in Web 2.0 as a Source of Corporate Feedback : Sabine Hornung, Frank Kleemann and G. Günter Voß 8 Prosuming, or when customers turn collaborators: coordination and motivation of customer contribution : Birgit Blättel-Mink, Raphael Menez, Dirk Dalichau, Daniel Kahnert 9 Role Confusion in Open Innovation Intermediary Arenas : Tobias Fredberg, Maria Elmquist, Susanne Ollila, Anna Yström List of Contributor

New forms of collaborative innovation and production on the internet

The Internet has enabled new forms of large-scale collaboration. Voluntary contributions by large numbers of users and co-producers lead to new forms of production and innovation, as seen in Wikipedia, open source software development, in social networks or on user-generated content platforms as well as in many firm-driven Web 2.0 services. Large-scale collaboration on the Internet is an intriguing phenomenon for scholarly debate because it challenges well established insights into the governance of economic action, the sources of innovation, the possibilities of collective action and the social, legal and technical preconditions for successful collaboration. Although contributions to the debate from various disciplines and fine-grained empirical studies already exist, there still is a lack of an interdisciplinary approach

New forms of collaborative innovation and production on the internet - an interdisciplinary perspective

The Internet has enabled new forms of large-scale collaboration. Voluntary contributions by large numbers of users and co-producers lead to new forms of production and innovation, as seen in Wikipedia, open source software development, in social networks or on user-generated content platforms as well as in many firm-driven Web 2.0 services. Large-scale collaboration on the Internet is an intriguing phenomenon for scholarly debate because it challenges well established insights into the governance of economic action, the sources of innovation, the possibilities of collective action and the social, legal and technical preconditions for successful collaboration. Although contributions to the debate from various disciplines and fine-grained empirical studies already exist, there still is a lack of an interdisciplinary approach

Addressing the Issues of Coalitions and Collusion in Multiagent Systems

In the field of multiagent systems, trust and reputation systems are intended to assist agents in finding trustworthy partners with whom to interact. Earlier work of ours identified in theory a number of security vulnerabilities in trust and reputation systems, weaknesses that might be exploited by malicious agents to bypass the protections offered by such systems. In this work, we begin by developing the TREET testbed, a simulation platform that allows for extensive evaluation and flexible experimentation with trust and reputation technologies. We use this testbed to experimentally validate the practicality and gravity of attacks against vulnerabilities. Of particular interest are attacks that are collusive in nature: groups of agents (coalitions) working together to improve their expected rewards. But the issue of coalitions is not unique to trust and reputation; rather, it cuts across a range of fields in multiagent systems and beyond. In some scenarios, coalitions may be unwanted or forbidden; in others they may be benign or even desirable. In this document, we propose a method for detecting coalitions and identifying coalition members, a capability that is likely to be valuable in many of the diverse fields where coalitions may be of interest. Our method makes use of clustering in benefit space (a high-dimensional space reflecting how agents benefit others in the system) in order to identify groups of agents who benefit similar sets of agents. A statistical technique is then used to identify which clusters contain coalitions. Experimentation using the TREET platform verifies the effectiveness of this approach. A series of enhancements to our method are also introduced, which improve the accuracy and robustness of the algorithm. To demonstrate how this broadly-applicable tool can be used to address domain-specific problems, we focus again on trust and reputation systems. We show how, by incorporating our work into one such system (the existing Beta Reputation System), we can provide resistance to collusion. We conclude with a detailed discussion of the value of our work for a wide range of environments, including a variety of multiagent systems and real-world settings