159 research outputs found

    An identity framework for providing access to FIWARE OAuth 2.0-based services according to the eIDAS European Regulation

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    Secure electronic identification (eID) is one of the key enablers of data protection, privacy, and the prevention of online fraud. However, until now, the lack of common legal basis prevented European Member States from recognizing and accepting eIDs issued in the other Member States. The electronic identification and trust services (eIDAS) regulation provides a solution to these issues by ensuring the cross-border mutual recognition of eIDs. FIWARE is a European initiative that provides a rather simple yet powerful set of application programming interfaces (APIs) that ease the development of smart applications in multiple vertical sectors and oriented to the future internet. In this paper, we propose a model that enables the connection of FIWARE OAuth 2.0-based services with the eID authentication provided by eIDAS reference. Thanks to this model, services already connected with an OAuth 2.0 identity provider can be automatically connected with eIDAS nodes for providing eID authentication to European citizens. For validating the proposed model, we have deployed an instance of the FIWARE identity manager connected to the Spanish eIDAS node. Then, we have registered two services, a private videoconferencing system, and a public smart city deployment, and extended their functionalities for enriching the user experience leveraging the eID authentication. We have evaluated the integration of both services in the eIDAS network with real users from seven different countries. We conclude that the proposed model facilitates the integration of generic and FIWARE-based OAuth 2.0 services to the eIDAS infrastructure, making the connection transparent for developers

    Technological, organisational, and environmental factors affecting the adoption of blockchain-based distributed identity management in organisations

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    Background: Blockchain is a disruptive technology with the potential to innovate businesses. Ignoring or resisting it might result in a competitive disadvantage for organisations. Apart from its original financial application of cryptocurrency, other applications are emerging, the most common being supply chain management and e-voting systems. However, there is less focus on information and cybersecurity applications, especially from the enterprise perspective. This research addresses this knowledge gap, focussing on its application of distributed identity management in organisations. Objectives: The main objective is to investigate technological, organisational, and environmental (TOE) factors affecting the adoption of blockchain-based distributed identity management (BDIDM) in organisations to determine the most critical factors. Secondary objectives include determining whether the blockchain type affects BDIDM adoption and whether the TOE-BDIDM model measuring the phenomenon is effective and appropriate. But given the relative newness of blockchain, the initial goal consists of intensively exploring the topic to understand the practicality of adopting BDIDM in organisations and establishing whether claims made around it are factual than just due to the blockchain hype. Methodology: The study uses meta-synthesis to explore the topic, summarising 69 papers selected qualitatively from reputed academic sources. The study then surveys 111 information and cybersecurity practitioners selected randomly in South African organisations to investigate the TOE factors affecting BDIDM adoption. To do so, it utilises an online questionnaire rooted in an adapted TOE model called TOE-BDIDM as a data collection instrument. The analysis of this primary data is purely quantitative and includes (i) Structural Equation Modelling (SEM) of the measurement model, i.e. confirmatory factor analysis (CFA); (ii) binary logistics regression analysis; and (iii) Chi-Square tests Results: Meta-synthesis revealed theoretical grounds underlying claims made around the topic while spotting diverging views about BDIDM practicality for the enterprise context. It also identifies the TOE theory as more suitable to explain the phenomenon. Binary logistics regression modelling reveals that TOE factors do affect BDIDM adoption in organisations, either positively or negatively. The factors predict BDIDM adopters and non-adopters, with Technology Characteristics being the most critical factor and the most that could predict BDIDM non-adopters. Organisation Readiness was the second critical factor, the most that could predict BDIDM adopters. Overall, TOE-BDIDM effectively predicted 92.5% of adopters and 45.2% of non-adopters. CFA indicates that TOE-BDIDM appropriateness for investigating the phenomenon is relatively fair. The Chi-Square tests reveal a significant association between Blockchain Type and BDIDM adoption. Implications: The discussion highlights various implications of the above findings, including the plausibility of the impartiality of typical privacy-preserving BDIDM models like the Selfsovereign identity: The majority of respondents preferred private permissioned blockchain, which tends to be centralised, more intermediated, and less privacy-preserving. The rest implications relate to the disruptiveness nature of BDIDM and the BDIDM adoption being more driven by technological than organisational or environmental factors. The study ends by reflecting on the research process and providing fundamental limitations and recommendations for future researc

    Evaluating the FIWARE Platform

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    This paper describes the result of a thorough analysis and evaluation of the so-called FIWARE platform from a smart application development point of view. FIWARE is the result of a series of well-funded EU projects that is currently intensively promoted throughout public agencies in Europe and world-wide. The goal was to figure out how services provided by FIWARE facilitate the development of smart applications. It was conducted first by an analysis of the central components that make up the service stack, followed by the implementation of a pilot project that aimed on using as many of these services as possibl

    Towards Identity Relationship Management For Internet of Things

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    Identity and Access Management (IAM) is in the core of any information systems. Traditional IAM systems manage users, applications, and devices within organizational boundaries, and utilize static intelligence for authentication and access control. Identity federation has helped a lot to deal with boundary limitation, but still limited to static intelligence – users, applications and devices must be under known boundaries. However, today’s IAM requirements are much more complex. Boundaries between enterprise and consumer space, on premises and cloud, personal devices and organization owned devices, and home, work and public places are fading away. These challenges get more complicated for Internet of Things (IoTs) due to their diverse use and portability nature. IoTs are being used in consumer space, healthcare, manufacturing, retails, entertainment, transportation, public sector, and many other places. Identity Relationship Management (IRM) can help in solving some of these challenges as it uses a more natural way of access management - a relationship-based access control methodology. IRM can perform identity and relationship management beyond home and organizational boundaries and can simplify authorization and authentication using dynamic intelligence based on relationship. In this research, we studied the needs of IRM for the Internet of Things. We explored four fundamental questions in IRM: what relationships need to be supported in IRM, how relationships can be supported in IRM, how relationship can be used for access control, and finally what infrastructure is required to support IRM. Since relationship is globally spread out and perimeter-less in nature, we designed the IRM service with a global scalable, modular, and borderless architecture. Instead of building something from scratch, we slightly modified the UMA 2.0 protocol built on top of OAuth 2.0 to make the relationship-based access control feature easily pluggable with existing IAM frameworks. We implemented a proof-of-concept to demonstrate and analyze the results of this research. This dissertation serves as the foundation for future research and development in IRM domain

    Identity Management Framework for Internet of Things

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    NOVEL CONTEXT-AWARE CLUSTERING WITH HIERARCHICAL ADDRESSING (CCHA) FOR THE INTERNET OF THINGS (IoT)

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    The case for federated identity management in 5G communications

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    The heterogeneous nature of fifth generation mobile network (5G) makes the access and provision of network services very difficult and raises security concerns. With multi-users and multi-operators, Service-Oriented Authentication (SOA) and authorization mechanisms are required to provide quick access and interaction between network services. The users require seamless access to services regardless of the domain, type of connectivity or security mechanism used. Hence a need for Identity and Access Management (IAM) mechanism to complement the improved user experience promised in 5G. Federated Identity Management (FIdM) a feature of IAM, can provide a user with use Single Sign On (SSO) to access services from multiple Service Providers (SP). This addresses security requirements such as authentication, authorization and user’s privacy from the end user perspectives, however 5G networks access lacks such solution. We propose a Network Service Federated Identity (NS-FId) model that address these security requirements and complements the 5G Service- Based Architecture (SBA). We present different scenarios and applications of the proposed model. We also discuss the benefits of identity management in 5G
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