Enhancing context data distribution for the internet of things using qoc-awareness and attribute-based access control

Lim, Léon; Marie, Pierrick; Conan, Denis; Chabridon, Sophie; Desprats, Thierry; Manzoor, Atif

doi:10.1007/s12243-015-0480-9

Cited by 17 publications

(16 citation statements)

References 26 publications

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“…We plan to complete the result with an evaluation of the other functions. The result completes a first study that we realized in [21] concerning the overhead of QoC-based filters.…”

Section: Self-reconfigurationsupporting

confidence: 68%

Enabling Self-Configuration of QoC-Centric Fog Computing Entities

Marie

Desprats²,

Chabridon³

et al. 2016

2016 Intl IEEE Conferences on Ubiquitous Intelligence &Amp; Computing, Advanced and Trusted Computing, Scalable Computing and C

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The advent of the Internet of Things (IoT) enables the development of new applications and context-aware services. However, for applications requiring a real-time consciousness of their environmental conditions, some additional mechanism is necessary. The paradigm of fog (or edge) computing is a promising candidate to meet this requirement by supporting the deployment at the network edge of entities for pre-processing the data produced by the IoT. Thus, the acquisition, filtering and processing (aggregation, fusion.. .) of contextual data can be performed locally in real-time within software entities deployed on equipments of a fog. As context is central in the targeted applications, qualifying context information becomes essential. Meta-data may therefore be added including some quality criteria such as precision, freshness, completeness, for measuring the Quality of Context (QoC) information. QoC management must take place throughout the whole processing chain of context information, impacting the operations performed within the entities of the fog. Facing the potential physical limitations of the equipments at the network edge, this paper promotes declarative programming of processing entities able to qualify context information and self-reconfiguration. Thus, the parameters controlling the transformation and qualification operations may be adjusted based on the observation of resource usage. A prototype shows that the reconfiguration time does not exceed one second and remains within acceptable limits for the targeted applications. This solution offers an alternative to the principle of offloading code advocated by some works on Fog Computing.

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“…We plan to complete the result with an evaluation of the other functions. The result completes a first study that we realized in [21] concerning the overhead of QoC-based filters.…”

Section: Self-reconfigurationsupporting

confidence: 68%

Enabling Self-Configuration of QoC-Centric Fog Computing Entities

Marie

Desprats²,

Chabridon³

et al. 2016

2016 Intl IEEE Conferences on Ubiquitous Intelligence &Amp; Computing, Advanced and Trusted Computing, Scalable Computing and C

Self Cite

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“…The aim of INCOME is to fuse together context data from multiple levels to provide a high-level set of context data from IoT systems that can be applied to decision making, including trust, privacy and security decisions. MuDebs and MuContext (Lim et al, 2016) are frameworks built on top of INCOME that add Attribute Based Access Control (ABAC) and Quality of Context (QoC) processing. MuDebs utilises XACML policies to implement ABAC.…”

Section: Hydra/linksmartmentioning

confidence: 99%

A survey of secure middleware for the Internet of Things

Fremantle

Scott

2017

PeerJ Computer Science

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The rapid growth of small Internet connected devices, known as the Internet of Things (IoT), is creating a new set of challenges to create secure, private infrastructures. This paper reviews the current literature on the challenges and approaches to security and privacy in the Internet of Things, with a strong focus on how these aspects are handled in IoT middleware. We focus on IoT middleware because many systems are built from existing middleware and these inherit the underlying security properties of the middleware framework. The paper is composed of three main sections. Firstly, we propose a matrix of security and privacy threats for IoT. This matrix is used as the basis of a widespread literature review aimed at identifying requirements on IoT platforms and middleware. Secondly, we present a structured literature review of the available middleware and how security is handled in these middleware approaches. We utilise the requirements from the first phase to evaluate. Finally, we draw a set of conclusions and identify further work in this area.

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“…ABAC ( Attribute based access control ) is employed for IoT. ABAC is used in IoT for access control which can be seen in [66]. During the registration process access structure based on attributes is assigned to the device joining the network.…”

Section: G Access Controlmentioning

confidence: 99%

Software Defined Security Service Provisioning Framework for Internet of Things

Khan¹,

Hameed²

2016

ijacsa

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Abstract-Programmable management framework have paved the way for managing devices in the network. Lately, emerging paradigm of Software Defined Networking (SDN) have revolutionized programmable networks. Designers of networking applications i.e. Internet of things (IoT) have started investigating potentials of SDN paradigm in improving network management. IoT envision interconnecting various embedded devices surrounding our environment with IP to enable internet connectivity. Unlike traditional network architectures, IoT are characterized by constraint in resources and heterogeneous inter connectivity of wireless and wired medium. Therefore, unique challenges for managing IoT are raised which are discussed in this paper. Ubiquity of IoT have raised unique security challenges in IoT which is one of the aspect of management framework for IoT. In this paper, security threats and requirements are summarized in IoT extracted from the state of the art efforts in investigating security challenges of IoT. Also, SDN based security service provisioning framework for IoT is proposed.

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Enhancing context data distribution for the internet of things using qoc-awareness and attribute-based access control

Cited by 17 publications

References 26 publications

Enabling Self-Configuration of QoC-Centric Fog Computing Entities

Enabling Self-Configuration of QoC-Centric Fog Computing Entities

A survey of secure middleware for the Internet of Things

Software Defined Security Service Provisioning Framework for Internet of Things

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