How to Enhance Privacy and Identity Management for Mobile Communities: Approach and User Driven Concepts of the PICOS Project

Kahl, Christian; Böttcher, Katja; Tschersich, Markus; Heim, Stephan; Rannenberg, Kai

doi:10.1007/978-3-642-15257-3_25

Cited by 8 publications

(7 citation statements)

References 7 publications

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“…In addition to technical limitations also privacy concerns can lead to inaccurate or missing location data within GRSs because privacy is getting more and more important in future mobile services and influences users' information disclosure behaviour. Blurring or cloaking are exemplary today's used techniques for obfuscating location information [8,14]. The blurring enables users to obfuscate their current location to some degree (e.g.…”

Section: Motivationmentioning

confidence: 99%

Design guidelines for mobile group recommender systems to handle inaccurate or missing location data

Tschersich

2011

Proceedings of the Fifth ACM Conference on Recommender Systems

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Today's group recommender systems do not consider unavailable, inaccessible, or incomplete user information of one ore more members within a group. This is a problem for mobile group recommender system, because changed user behaviour or technical limitations of mobile services let user may not be willing or able to disclose all information, which are part of a user profile in a mobile environment. For location information, as one of the most important type of user information for an ad-hoc mobile recommendation service, this can lead to inaccurate, or missing location information. Inaccurate or missing location information has an impact on different parts of building group recommendations. This impact reduces the quality of recommendations, which is a key-challenge of recommender systems. Therefore, design guidelines are needed to address the problem of missing or inaccurate location information in mobile group recommender systems. This work describes the approach of building and validating those design guidelines and gives a first idea of impacts.

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Section: Motivationmentioning

confidence: 99%

Design guidelines for mobile group recommender systems to handle inaccurate or missing location data

Tschersich

2011

Proceedings of the Fifth ACM Conference on Recommender Systems

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“…Several solutions such as privacy dashboards [28] and privacy room [29] provide tools (e.g., browser add-ons, mobile applications) for assessing the exposure of user data and thus enabling transparency. Although these proposals aim to increase user awareness, they do not provide users with insight on access decision-making.…”

Section: Related Workmentioning

confidence: 99%

CollAC: Collaborative access control

Damen

Hartog

Zannone

2014

2014 International Conference on Collaboration Technologies and Systems (CTS)

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Abstract-Recent years have seen an increasing number of collaborative systems and platforms available online. As the importance of online collaboration grows, so does the need to protect the information used in these systems. In collaborative environments different users may be related to the information in different capacities. This means that traditional access control mechanisms are usually not suitable for collaborative environments as they assume that a single entity is in control of information. Moreover, when different entities can concurrently specify policies for the same resources, the decision making process is not transparent to the users who expect their policies to be enforced by the system. In this paper, we introduce a novel access control framework for collaborative systems. The framework is based on a notion of control which goes beyond the notion of ownership by accounting for the relation of a user with an object. We also make access control decisions transparent by showing where and why collaborative decisions deviate from the policies of single users.

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“…Efforts such as privacy dashboard 4 , PrivacyOS project 5 , Primelife project 6 ) and privacy room [33] provide tools (e.g., browser add-ons, mobile applications) for regulating the exposure of user data to the network. Pearson et al [34] propose a client privacy management scheme based on data obfuscation (not necessarily using encryption) and user "personas."…”

Section: User Friendly Advanced Access Controlmentioning

confidence: 99%

Impact of ICT on Home Healthcare

Vavilis

Petković

Zannone

2012

ICT Critical Infrastructures and Society

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Abstract. Innovation in information and communication technology has a great potential to create large impact on modern healthcare. However, for the new technologies to be adopted, the innovations have to be meaningful and timely, taking into account user needs and addressing societal and ethical concerns. This paper focuses on ICT innovations related to the home healthcare domain. To ensure the adoption of new healthcare services, the new innovative technologies need to be complemented with new methods that can help patients to establish trust in healthcare service providers in terms of privacy, reliability, integrity of the data chain and techniques that help service providers to assess the reliability of information and data contributed by patients. This paper sketches various lines of research for the development of trusted healthcare services namely, patient compliance, reliability of information in healthcare, and userfriendly access control.

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How to Enhance Privacy and Identity Management for Mobile Communities: Approach and User Driven Concepts of the PICOS Project

Cited by 8 publications

References 7 publications

Design guidelines for mobile group recommender systems to handle inaccurate or missing location data

Design guidelines for mobile group recommender systems to handle inaccurate or missing location data

CollAC: Collaborative access control

Impact of ICT on Home Healthcare

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