On privacy in mobile voice communication networks

The introduction of mobile communications has undoubtedly altered our physical and social world. Like the Internet, it has changed the way we interact with each other allowing for communication using a variety of communication mediums by means of a magnitude of interactive mobile devices. The context, content, persons communicating, situation and timing all have a varying degree of influence on the sensitivity of information being shared. The individual's awareness of exposure of their private information on the Internet has filtered through into the mobile communications space. It is commonly held in current mobile communication network literature that as privacy-sensitive information travels through a network, it may be exposed to privacy infringement at various stages along its journey. Much of the concern from the individual's perspective, though, stems from a fear of the unknown. In the presence of these threats and vulnerabilities it is justified to wonder whether current mobile communications networks (and indeed future networks) provides sufficient privacy for users with very valuable information to communicate. In this thesis, I develop a systematic approach to identifying areas of privacy concern in a current mobile communication networks in an effort to outline mobile communication privacy principles and how applicable they are in Next Generation Networks. With a privacy stance, the objective of my work is through technical examination and sometimes theoretical undertaking to identify acceptable solutions which restrict the flow of private information and ultimately confirm, through privacy analyses, the benefits gained in doing so. The results show that, given the current situation and technological configuration, there are commonalities which extend beyond a mere concern within a mobile communications network's requirement for privacy enhancement. In a perfect world, the idea is to articulate towards a system of privacy by design rather than as an uttered afterthought. It is no longer inconceivable to think there is an opportunity to deliver a privacy-conscious network, if careful consideration is given to all parties and aspects that govern a mobile communications network and the correct privacy-enhancing technologies are administered correctly. Throughout my thesis, although each privacy solution is segmented and may have a specific privacy application, the results attested contribute largely to a converged prospectus for privacy-aware future generation communication networks. The significance of this lies in the study of past privacy pitfalls in order to better manage the potential for future privacy problems. The rationalisation is if privacy principles are identified (in existing networks) and adhered and applied to (in next generation networks), then we converge towards a network infrastructure that possesses a desirable level of privacy protection.Thesis (PhD)--University of Pretoria, 2011.Computer Scienceunrestricte

A heuristic evaluation of the Facebook's advertising tool beacon

Interface usability is critical to the successful adoption of information systems. The aim of this study is to evaluate interface of Facebook's advertising tool Beacon by using privacy heuristics [4]. Beacon represents an interesting case study because of the negative media and user backlash it received. The findings of heuristic evaluation suggest violation of privacy heuristics [4]. Here, analysis identified concerns about user choice and consent, integrity and security of data, and awareness and notice. Beacon was an innovative tool, therefore, its systematic evaluation was needed in order to identify privacy problems, their causes and subsequent consequences. The study provides useful insights to human computer interaction (HCI) designers of online social networks

Context Aware Computing for The Internet of Things: A Survey

As we are moving towards the Internet of Things (IoT), the number of sensors deployed around the world is growing at a rapid pace. Market research has shown a significant growth of sensor deployments over the past decade and has predicted a significant increment of the growth rate in the future. These sensors continuously generate enormous amounts of data. However, in order to add value to raw sensor data we need to understand it. Collection, modelling, reasoning, and distribution of context in relation to sensor data plays critical role in this challenge. Context-aware computing has proven to be successful in understanding sensor data. In this paper, we survey context awareness from an IoT perspective. We present the necessary background by introducing the IoT paradigm and context-aware fundamentals at the beginning. Then we provide an in-depth analysis of context life cycle. We evaluate a subset of projects (50) which represent the majority of research and commercial solutions proposed in the field of context-aware computing conducted over the last decade (2001-2011) based on our own taxonomy. Finally, based on our evaluation, we highlight the lessons to be learnt from the past and some possible directions for future research. The survey addresses a broad range of techniques, methods, models, functionalities, systems, applications, and middleware solutions related to context awareness and IoT. Our goal is not only to analyse, compare and consolidate past research work but also to appreciate their findings and discuss their applicability towards the IoT.Comment: IEEE Communications Surveys & Tutorials Journal, 201

Using P3P in a web services-based context-aware application platform

This paper describes a proposal for a privacy control architecture to be applied in the WASP project. The WASP project aims to develop a context-aware service platform on top of 3G networks, using web services technology. The proposed privacy control architecture is based on the P3P privacy policy description standard defined by W3C. The paper identifies extensions to P3P and its associated preference expression language APPEL that are needed to operate in a context-aware environment

PRIMA — Privacy research through the perspective of a multidisciplinary mash up

Based on a summary description of privacy protection research within three fields of inquiry, viz. social sciences, legal science, and computer and systems sciences, we discuss multidisciplinary approaches with regard to the difficulties and the risks that they entail as well as their possible advantages. The latter include the identification of relevant perspectives of privacy, increased expressiveness in the formulation of research goals, opportunities for improved research methods, and a boost in the utility of invested research efforts

Sharing Human-Generated Observations by Integrating HMI and the Semantic Sensor Web

Current “Internet of Things” concepts point to a future where connected objects gather meaningful information about their environment and share it with other objects and people. In particular, objects embedding Human Machine Interaction (HMI), such as mobile devices and, increasingly, connected vehicles, home appliances, urban interactive infrastructures, etc., may not only be conceived as sources of sensor information, but, through interaction with their users, they can also produce highly valuable context-aware human-generated observations. We believe that the great promise offered by combining and sharing all of the different sources of information available can be realized through the integration of HMI and Semantic Sensor Web technologies. This paper presents a technological framework that harmonizes two of the most influential HMI and Sensor Web initiatives: the W3C’s Multimodal Architecture and Interfaces (MMI) and the Open Geospatial Consortium (OGC) Sensor Web Enablement (SWE) with its semantic extension, respectively. Although the proposed framework is general enough to be applied in a variety of connected objects integrating HMI, a particular development is presented for a connected car scenario where drivers’ observations about the traffic or their environment are shared across the Semantic Sensor Web. For implementation and evaluation purposes an on-board OSGi (Open Services Gateway Initiative) architecture was built, integrating several available HMI, Sensor Web and Semantic Web technologies. A technical performance test and a conceptual validation of the scenario with potential users are reported, with results suggesting the approach is soun