511,429 research outputs found
The Application of Fuzzy Logic Controller to Compute a Trust Level for Mobile Agents in a Smart Home
Agents that travel through many hosts may cause a threat on the security of the visited hosts. Assets,
system resources, and the reputation of the host are few possible targets for such an attack. The
possibility for multi-hop agents to be malicious is higher compared to the one-hop or two-hop
boomerang agents. The travel history is one of the factors that may allow a server to evaluate the
trustworthiness of an agent. This paper proposes a technique to define levels of trust for multi-hop
agents that are roaming in a smart home environment. These levels of trust are used later to
determine actions taken by a host at the arrival of an agent. This technique uses fuzzy logic as a
method to calculate levels of trust and to define protective actions in regard to those levels
A Graph-Based Approach to Address Trust and Reputation in Ubiquitous Networks
The increasing popularity of virtual computing environments such as Cloud and Grid computing is helping to drive the realization of ubiquitous and pervasive computing. However, as computing becomes more entrenched in everyday life, the concepts of trust and risk become increasingly important. In this paper, we propose a new graph-based theoretical approach to address trust and reputation in complex ubiquitous networks. We formulate trust as a function of quality of a task and time required to authenticate agent-to-agent relationship based on the Zero-Common Knowledge (ZCK) authentication scheme. This initial representation applies a graph theory concept, accompanied by a mathematical formulation of trust metrics. The approach we propose increases awareness and trustworthiness to agents based on the values estimated for each requested task, we conclude by stating our plans for future work in this area
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Perceived competence and credit access of SMEs: can trust change the rules of the game?
Banks play an essential role in financing firms and especially small and medium en-terprises (SMEs). The process used by banks to decide whether and how much to lend is complex and banks rely on different lending techniques. Relationship lending, by leveraging a variety of private information gathered through contact with the firm, its owner, and the local community, has a peculiar role and can benefit SMEs by providing them with easier access to credit. No previous research focuses specifically on the perceived competence of the entrepreneur or the owner/manager of the firm as well as on competence as a substitute of trust. The present paper tries to fill this gap.
The research is based on a panel of 535 entrepreneurial SMEs which operate in the widely studied and economically successful North East of Italy. The data were collected by administering a survey to bank managers of local community banks and of two national banks. The regressions show that competence is positively related to overall credit gained and negatively related to interest rate. In addition, in low trusted SMEs, credit gained is positively related to competence while the interest rate is negatively linked to competence. In highly trusted firms, these relationships are not significant.
Our findings support the point that competence is an important factor irrespective of the quality of the firm and that it is a substitute for trust in low-trusted SMEs. The findings have two major implications: banks should develop tools that are capable to catch the competence of the entrepreneurs irrespective of the performance of the firm depicted in the firms' data; the entrepreneurs need to effectively communicate their competences to the relevant stakeholders such as the bank managers. Thus, perceived competence can play an important role during economic downturns when the performance of the firm is affected by hostile eco-nomic environment
Intervening to improve outcomes for vulnerable young people : a review of the evidence
Concerns about the number of young people who fail to reach their potential at school, or get into trouble, or are not in education, employment or training (NEET), underpin the continuing commitment to end child poverty in the UK by 2020, and the Coalition Government’s pledge to increase the focus on supporting the neediest families and those with multiple problems. A strong policy commitment to improving the life chances of vulnerable young people has in recent years led to the testing of a number of initiatives.
This review sought to identify: the common barriers to the effective implementation of new initiatives; elements of effective practice in the delivery of multi-agency services for vulnerable young people and their families; the costs associated with integrated service delivery; the outcomes that can be achieved; and whether fewer and more targeted initiatives might offer better value for money, particularly during a period of fiscal reform.
Includes:
•Introduction to the Review
•Identifying and Assessing Vulnerable Young People
•Multi-Agency Working: Innovations in the Delivery of Support Services
•Delivering Interventions and Improving Outcomes for Young People
•Assessing Value for Money in Interventions To Improve Outcomes for Young People
•Looking to the Future: Defining Elements of Effective Practic
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