Towards privacy-enhanced mobile communities—Architecture, concepts and user trials

Tschersich, Markus; Kahl, Christian; Heim, Stephan; Crane, Stephen; Böttcher, Katja; Krontiris, Ioannis; Rannenberg, Kai

doi:10.1016/j.jss.2011.06.048

Cited by 14 publications

(5 citation statements)

References 12 publications

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“…For the second German example, problems of privacy related to anglers making their catch records available on the Internet were technically alleviated by developing an application that protected angler's privacy by enhancing the architecture of the mobile application (Tschersich et al 2011).…”

Section: Case-specific Solutionsmentioning

confidence: 99%

Communication between scientists, fishery managers and recreational fishers: lessons learned from a comparative analysis of international case studies

Dedual¹,

Sagué²,

Arlinghaus

et al. 2013

Fisheries Management Eco

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The management of recreational fisheries benefits from good collaboration between scientists, managers and recreational fishers. However, the level of collaboration largely depends on the levels of effective communication among the different stakeholders. This paper presents the views of scientists, managers and fishers concerning the quality of communication in eleven case studies of recreational fisheries. Case studies were synthesised and common reasons why communication did not always flow as intended were identified. The prevalent barriers to good communication, and therefore collaboration included a lack of rigorous scientific information transfer from scientists to fishers and managers, a fear from fishers that management actions will limit fishing opportunities, pre‐existing antagonism between commercial and recreational fisheries, and fishers' suspicion of science. Overcoming these issues is paramount to improve collaboration and participatory processes that help lead to robust, well‐accepted management actions.

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Section: Case-specific Solutionsmentioning

confidence: 99%

Communication between scientists, fishery managers and recreational fishers: lessons learned from a comparative analysis of international case studies

Dedual¹,

Sagué²,

Arlinghaus

et al. 2013

Fisheries Management Eco

View full text Add to dashboard Cite

show abstract

“…Tschersich et al [34] conducted a study on users and identified the privacy requirements of mobile social networks. They then developed a framework called PICOS, which involves the conditions such as resources to prevent access to the user's location and protect private websites.…”

Section: Related Workmentioning

confidence: 99%

Optimized fuzzy logic by Genetic algorithm for identifying the situation of social network users

khodayar¹,

Safi²,

Alikhani³

et al. 2020

Preprint

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Today, mobile social networks and smartphones are highly developed and widely used. Owing to the transfer of vast amounts of data, information, and communication between users, such networks have addressed privacy as a fundamental issue. Recently, there has been a growing interest in identifying the privacy requirements of each user to act independently and dynamically according to the situations and conditions. This paper seeks to meet the privacy requirements of users by identifying their situation. For this purpose, we define a number of significant parameters in compliance with the conditions of users. Also, after inferring the current exact situation of the user, the fuzzy logic is automatically utilized to specify the privacy settings based on the conditions. To increase the accuracy in the identification of user situation, this method employs the genetic algorithm for selecting the coefficients of optimal input parameters in the fuzzy system. In this way, the fuzzy system is able to make a more accurate identification of the user situation. Compared to a similar method, the proposed method shows a better accuracy in identifying the user situation and, as a result, better performance in correctly setting the privacy.

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“…The aim of the cloud-architecture presented within this paper is not only to monitor the flow of data but also to be able to change the data consistently at a single point. In [55], an architecture for privacy-enhanced mobile communities is presented. This architecture contains several services that have to adhere to the architecture specifications.…”

Section: Trusted Use Of Personal Datamentioning

confidence: 99%

Architecting Cloud Services for the Digital Me in a Privacy-Aware Environment

Eikermann

Look

Roth

et al. 2017

Software Architecture for Big Data and the Cloud

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Towards privacy-enhanced mobile communities—Architecture, concepts and user trials

Cited by 14 publications

References 12 publications

Communication between scientists, fishery managers and recreational fishers: lessons learned from a comparative analysis of international case studies

Communication between scientists, fishery managers and recreational fishers: lessons learned from a comparative analysis of international case studies

Optimized fuzzy logic by Genetic algorithm for identifying the situation of social network users

Architecting Cloud Services for the Digital Me in a Privacy-Aware Environment

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