Data centric trust evaluation and prediction framework for IOT

© 2017 ITU. Application of trust principals in internet of things (IoT) has allowed to provide more trustworthy services among the corresponding stakeholders. The most common method of assessing trust in IoT applications is to estimate trust level of the end entities (entity-centric) relative to the trustor. In these systems, trust level of the data is assumed to be the same as the trust level of the data source. However, most of the IoT based systems are data centric and operate in dynamic environments, which need immediate actions without waiting for a trust report from end entities. We address this challenge by extending our previous proposals on trust establishment for entities based on their reputation, experience and knowledge, to trust estimation of data items [1-3]. First, we present a hybrid trust framework for evaluating both data trust and entity trust, which will be enhanced as a standardization for future data driven society. The modules including data trust metric extraction, data trust aggregation, evaluation and prediction are elaborated inside the proposed framework. Finally, a possible design model is described to implement the proposed ideas

Building Networks of Practice

{Excerpt} Extensive media coverage of applications such as FaceBook, MySpace, and LinkedIn suggests that networks are a new phenomenon. They are not: the first network was born the day people decided to create organizational structures to serve common interests—that is, at the dawn of mankind. However, the last 10–20 years have witnessed rapid intensification and evolution of networking activities, driven of course by information and communication technologies as well as globalization. These make it possible for individuals to exchange data, information, and knowledge; work collaboratively; and share their views much more quickly and widely than ever before. Thus, less and less of an organization’s knowledge resides within its formal boundaries or communities of practice. Knowledge cannot be separated from the networks that create, use, and transform it. In parallel, networks now play significant roles in how individuals, groups, organizations, and related systems operate. They will be even more important tomorrow. Since we can no longer assume that closely knit groups are the building blocks of human activity—or treat these as discrete units of analysis—we need to recognize and interface with less-bounded organizations, from non-local communities to links among websites. We should make certain that knowledge harvested in the external environment is integrated with what exists within, especially in dynamic fields where innovation stems from inter-organizational knowledge sharing and learning. Therefore, the structure and composition of nodes and ties, and how these affect norms and determine usefulness, must become key concerns. This makes the study of networks of practice a prime interest for both researchers and practitioners

Solomon Islands: Essential aspects of governance for Aquatic Agricultural Systems in Malaita Hub

In late 2012, a governance assessment was carried out as part of the diagnosis phase of rollout of the CGIAR Aquatic Agricultural Systems Program in Malaita Hub in Solomon Islands. The purpose of the assessment was to identify and provide a basic understanding of essential aspects of governance related to Aquatic Agricultural Systems in general, and more specifically as a case study in natural resource management. The underlying principles of the approach we have taken are drawn from an approach known as “Collaborating for Resilience” (CORE), which is based on bringing all key stakeholders into a process to ensure that multiple perspectives are represented (a listening phase), that local actors have opportunities to influence each other’s understanding (a dialogue phase), and that ultimately commitments to action are built (a choice phase) that would not be possible through an outsider’s analysis alone. This report begins to address governance from an AAS perspective, using input from AAS households and other networked stakeholders. We attempt to summarize governance issues that are found not only within the community but also, and especially, those that are beyond the local level, both of which may need to be addressed by the AAS program

The role of urban living labs in a smart city

In a rapidly changing socio-technical environment cities are increasingly seen as main drivers for change. Against this backdrop, this paper studies the emerging Urban Living Lab and Smart City concepts from a project based perspective, by assessing a series of five Smart City initiatives within one local city ecosystem. A conceptual and analytical framework is used to analyse the architecture, nature and outcomes of the Smart City Ghent and the role of Urban Living Labs. The results of our analysis highlight the potential for social value creation and urban transition. However, current Smart City initiatives face the challenge of evolving from demonstrators towards real sustainable value. Furthermore, Smart Cities often have a technological deterministic, project-based approach, which forecloses a sustainable, permanent and growing future for the project outcomes. ‘City-governed’ Urban Living Labs have an interesting potential to overcome some of the identified challenges