415 research outputs found

    Anticipatory Mobile Computing: A Survey of the State of the Art and Research Challenges

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    Today's mobile phones are far from mere communication devices they were ten years ago. Equipped with sophisticated sensors and advanced computing hardware, phones can be used to infer users' location, activity, social setting and more. As devices become increasingly intelligent, their capabilities evolve beyond inferring context to predicting it, and then reasoning and acting upon the predicted context. This article provides an overview of the current state of the art in mobile sensing and context prediction paving the way for full-fledged anticipatory mobile computing. We present a survey of phenomena that mobile phones can infer and predict, and offer a description of machine learning techniques used for such predictions. We then discuss proactive decision making and decision delivery via the user-device feedback loop. Finally, we discuss the challenges and opportunities of anticipatory mobile computing.Comment: 29 pages, 5 figure

    From Conventional to State-of-the-Art IoT Access Control Models

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    open access articleThe advent in Online Social Networks (OSN) and Internet of Things (IoT) has created a new world of collaboration and communication between people and devices. The domain of internet of things uses billions of devices (ranging from tiny sensors to macro scale devices) that continuously produce and exchange huge amounts of data with people and applications. Similarly, more than a billion people are connected through social networking sites to collaborate and share their knowledge. The applications of IoT such as smart health, smart city, social networking, video surveillance and vehicular communication are quickly evolving people’s daily lives. These applications provide accurate, information-rich and personalized services to the users. However, providing personalized information comes at the cost of accessing private information of users such as their location, social relationship details, health information and daily activities. When the information is accessible online, there is always a chance that it can be used maliciously by unauthorized entities. Therefore, an effective access control mechanism must be employed to ensure the security and privacy of entities using OSN and IoT services. Access control refers to a process which can restrict user’s access to data and resources. It enforces access rules to grant authorized users an access to resources and prevent others. This survey examines the increasing literature on access control for traditional models in general, and for OSN and IoT in specific. Challenges and problems related to access control mechanisms are explored to facilitate the adoption of access control solutions in OSN and IoT scenarios. The survey provides a review of the requirements for access control enforcement, discusses several security issues in access control, and elaborates underlying principles and limitations of famous access control models. We evaluate the feasibility of current access control models for OSN and IoT and provide the future development direction of access control for the sam

    Micro ad-hoc Health Social Networks (uHSN). Design and evaluation of a social-based solution for patient support

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    Objective: To contribute the design, development, and assessment of a new concept: Micro ad hoc Health Social Networks (uHSN), to create a social-based solution for supporting patients with chronic disease. Design: After in-depth fieldwork and intensive co-design over a 4-year project following Community-Based Participatory Research (CBPR), this paper contributes a new paradigm of uHSN, defining two interaction areas (the “backstage” the sphere invisible to the final user, where processes that build services take place; and the “onstage” the visible part that includes the patients and relatives), and describes a new transversal concept, i.e., “network spaces segments, ” to provide timely interaction among all involved profiles and guaranteeing qualitative relationships. This proposal is applicable to any service design project and to all types of work areas; in the present work, it served as a social-based solution for supporting patients with chronic disease in two real-life health scenarios: a Parkinson disease patient association and a Stroke rehabilitation service in a hospital. These two scenarios included the following main features: thematic (related to the specific disease), private, and secure (only for the patient, relatives, healthcare professional, therapist, carer), with defined specific objectives (around patient support), small size (from tens to hundreds of users), ability to integrate innovative services (e.g., connection to hospital information service or to health sensors), supported by local therapeutic associations, and clustered with preconfigured relationships among users based in network groups. Measurements: Using a mixed qualitative and quantitative approach for 6 months, the performance of the uHSN was assessed in the two environments: a hospital rehabilitation unit working with Stroke patients, and a Parkinson disease association providing physiotherapy, occupational therapy, psychological support, speech therapy, and social services. We describe the proposed methods for evaluating the uHSN quantitatively and qualitatively, and how the scientific community can replicate and/or integrate this contribution in its research. Results: The uHSN overcomes the main limitations of traditional HSNs in the main areas recommended in the literature: privacy, security, transparency, system ecology, Quality of Service (QoS), and technology enhancement. The qualitative and quantitative research demonstrated its viability and replicability in four key points: user acceptance, productivity improvement, QoS enhancement, and fostering of social relations. It also meets the expectation of connecting health and social worlds, supporting distance rehabilitation, improving professionals’ efficiency, expanding users’ social capital, improving information quality and immediacy, and enhancing perceived peer/social/emotional support. The scientific contributions of the present paper are the first step not only in customizing health solutions that empower patients, their families, and healthcare professionals, but also in transferring this new paradigm to other scientific, professional, and social environments to create new opportunities

    A Review of Information Systems Research on Online Social Networks

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    Over the last decade, online social networks have evolved into a global mainstream medium with increasing social, organizational, and economic impact. This paper provides a structured overview of Information Systems research on this outstanding techno-social phenomenon of the 21st century via a structured literature review. Based on our search in information systems journals and conference proceedings that resulted in 510 papers, we carve out and assess the knowledge and the research fields that have been predominantly addressed and impacted by the information systems research community so far. Moreover, we identify research gaps that future research should address. We analyze how the academic discussion on online social networks developed in the information systems literature over time, which publication outlets are most receptive to research on online social networks, which research areas have already been covered by information systems research on online social networks, and what potential future research areas exist that have not been covered by information systems research yet. We hope that our results will stimulate and guide future research in this field

    Security and privacy in smart city: a secure e-voting system based on blockchain

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    In recent years, the internet of things (IoT) growth has brought about many technological changes, including the emergence of the notion of the smart city. The development of a smart city requires the integration of IoT devices and information and communication technologies to improve the quality of lives of citizens in many areas such as health, economy, business, agriculture, and transport. However, with this evolution, many cybersecurity risks and challenges have been raised, so it is necessary to develop these technologies in a protected way to avoid being compromised by attackers. Blockchain, being a new technology based on cryptographic principles, can play an important role in securing smart cities. In this survey, we discussed different applications of blockchain technology in smart cities and also studied how blockchain features (transparency, democracy, decentralization, and security) can help in the improvement of smart city services. This analysis will help us to implement an electronic voting model using a smart contract based on the Ethereum blockchain to highlight how blockchain technology can be implemented in smart cities to promote security

    Volunteering 2.0: How Can Volunteer Organizations Employ Online Social Networks?

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    The effectiveness of online social networks such as Facebook and Twitter for managing an organization is an area ripe for investigation in information systems research. Volunteer organizations in particular (who typically lag rather than lead in technology) stand to benefit from online social networks, if equipped with the knowledge to strategically implement these tools. This research context is especially unique because volunteers and employees approach work differently, which affects how they interact with the organization and its systems. We use the theory of functionalist motivations to support the use of online social networks to manage volunteers. Because this research area is relatively new, this study provides a theoretically-grounded exploration into how volunteer organizations are using online social networks to manage their volunteer workforce, in what ways they are using these systems, and their effectiveness compared to previous systems

    User misrepresentation in online social networks: how competition and altruism impact online disclosure behaviours

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    Their sheer size and scale give social networks significant potential for shaping popular opinions. While the spread of information and influence within social networks has been popular area of research for some time, more recently a research trend has appeared in which the researcher seeks to understand how users can aggressively influence community opinions, often using misrepresented or false information. Such misrepresentations by users are deeply troubling for any social network, where revenue-generation and their reputation depend on accurate and reliable user generated information. This study investigates the individual motivations that both promote and inhibit intentions towards personal information misrepresentation. These motivations are hypothesised to result from the dichotomy of competitive and altruistic attitudes existing with social network communities. Results of a survey analysis involving 502 users of Facebook offer insights useful for understanding social network information sharing practices. Marketing strategies, in particular, should benefit from the careful evaluation of the factors that lead to honesty (or dishonesty) among OSN users
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