Biblio

As a result of the importance of privacy at present, especially with the modern applications and technologies that have spread in the last decade, many techniques and methods have appeared to preserve privacy and protect users' data from tracking, profiling, or identification. The most popular of these technologies are those which rely on peer-to-peer or third-party cooperation. But, by reviewing a significant portion of existing research articles related to privacy, we find considerable confusion amongst several concepts and ways of protection, such as the concept of cloak area, Anonymizer, cooperation, and Third Party Peers (TTP). In this research, we revisit and review these approaches, which contain an overlap between them to distinguish each one clearly with the help of graphs and to remove their ambiguity. In this way, we shall be able provide a ready-reckoner to those interested in this field to easily differentiate between them and thus work to develop them and provide new methods. In other words, this research seeks to enhance the privacy and security in smart applications and technologies in the IoT and smart city environments.

Globally distributed collaboration requires cooperation and trust among team members. Current research suggests that informal, non-work related communication plays a positive role in developing cooperation and trust. However, the way in which teams connect, i.e. via a social network, greatly influences cooperation and trust development. The study described in this paper employs agent-based modeling and simulation to investigate the cooperation and trust development with the presence of informal, non-work-related communication in networked teams. Leveraging game theory, we present a model of how an individual makes strategic decisions when interacting with her social network neighbors. The results of simulation on a pseudo scale-free network reveal the conditions under which informal communication has an impact, how different network degree distributions affect efficient trust and cooperation development, and how it is possible to "seed" trust and cooperation development amongst individuals in specific network positions. This study is the first to use agent-based modeling and simulation to examine the relationships between scale-free networks' topological features (degree distribution), cooperation and trust development, and informal communication.

In this paper, we propose a novel Social Networking Service (SNS) for a regional community. The purpose of the SNS is to support and encourage people by making them aware beneficial social relations in the real world. The conventional SNSs can hardly deal with beneficial social relations, because they are implicit and dynamic. The proposed SNS is designed to provide positive information for two types of people: people who does community voluntary works, such as cleaning, as contributors, and people who receives benefit from them as beneficiary. This paper introduces the basic scheme based on the SNS for beneficial social relations, and evaluates the effectiveness of our scheme based on the result of the experimental studies. The experimental result shows the users of our SNS tend to consider the information about the voluntary works valuable if they have been performed in their living area, and it suggests that our proposed SNS system would work well in a regional community.