HiTrust: building cross-organizational trust relationship based on a hybrid negotiation tree

Small-world phenomena have been observed in existing peer-to-peer (P2P) networks which has proved useful in the design of P2P file-sharing systems. Most studies of constructing small world behaviours on P2P are based on the concept of clustering peer nodes into groups, communities, or clusters. However, managing additional multilayer topology increases maintenance overhead, especially in highly dynamic environments. In this paper, we present Social-like P2P systems (Social-P2Ps) for object discovery by self-managing P2P topology with human tactics in social networks. In Social-P2Ps, queries are routed intelligently even with limited cached knowledge and node connections. Unlike community-based P2P file-sharing systems, we do not intend to create and maintain peer groups or communities consciously. In contrast, each node connects to other peer nodes with the same interests spontaneously by the result of daily searches

Reputation Based Trust Management System Supporting Collaboration in a Medical Application

In a small group of people it is quite easy to start a collaboration based on shared trust, because people quickly recognize quality of each other. But this is not true when we move to the highly distributed environment with hundreds of users, not only from one institution or town, but even from different countries. It becomes very complicated task to distinguish experienced an trusted people from malicious users. In the paper a reputation system proposed particularly for a medical environment supporting collaboration among physicians is presented. The system provides tools for sharing knowledge and expertize in form of modules which can be seamlessly connected to each other provided more advanced functionality. The reputation system is designed to help physicians selecting the right (the most reliable) module from set of all modules within the system. The selection is made on trust being managed by the proposed reputation system

Web Rule Languages to Carry Policies

Recent efforts in the area of Web policy languages show concerns on how to better represent both context and rules of a domain to deal with large number of resources and users. Interaction between domains with different business rules is also another questionable issue in this same area. Web rule languages have been recently introduced as a means to facilitate interaction between parties with dissimilar policies and business rules. Efforts have been placed to further review the possibility of the proposed solutions and extend them to work with other Web technologies. In this paper, we introduce REWERSE Rule Markup Language (R2ML) as a Web rule language that can be employed to make concepts, policies, and elements of a domain digestible by another domain through the use of vocabularies, rules, and annotations. We also show how R2ML elements can model the concepts and elements of different policy languages and assist systems with diverse policies with their interactions. 1

A Survey on Trust Computation in the Internet of Things

Internet of Things defines a large number of diverse entities and services which interconnect with each other and individually or cooperatively operate depending on context, conditions and environments, produce a huge personal and sensitive data. In this scenario, the satisfaction of privacy, security and trust plays a critical role in the success of the Internet of Things. Trust here can be considered as a key property to establish trustworthy and seamless connectivity among entities and to guarantee secure services and applications. The aim of this study is to provide a survey on various trust computation strategies and identify future trends in the field. We discuss trust computation methods under several aspects and provide comparison of the approaches based on trust features, performance, advantages, weaknesses and limitations of each strategy. Finally the research discuss on the gap of the trust literature and raise some research directions in trust computation in the Internet of Things

A multi-layer framework for personalized social tag-based applications

Recent years have seen an increasing diffusion of online communities giving their members the ability of specifying and sharing metadata concerning online resources. Such practice, also known as social or collaborative tagging, has the purpose of collecting and sharing opinions about Web resources and simplifying their retrieval. In this paper, we go one step further and show how tags can have more enhanced applications to be exploited for customizing Web content fruition. More precisely, we propose a multi-layer framework where data collected by social tagging communities are complemented with additional services. Such services provide users the ability of expressing their dis/agreement with existing tags, denoting the members they trust based on their characteristics and relationships, or specifying policies on which "quality" assessment of resources should be returned. Besides providing the formal specification of the proposed framework, we illustrate two case studies we have implemented and the experiments we have carried out in order to verify the feasibility of our approach

Driving and Monitoring Provisional Trust Negotiation with Metapolicies

We introduce the provisional trust negotiation framework PROTUNE, for combining distributed trust management policies with provisional-style business rules and accesscontrol related actions. The framework features a powerful declarative metalanguage for driving some critical negotiation decisions, and integrity constraints for monitoring negotiations and credential disclosure.