Dina Hussein

The Cluster Between Internet of Things and Social Networks: Review and Research Challenges

The cluster between Internet of Things (IoT) and social networks (SNs) enables the connection of people to the ubiquitous computing universe. In this framework, the information coming from the environment is provided by the IoT, and the SN brings the glue to allow human-to-device interactions. This paper explores the novel paradigm for ubiquitous computing beyond IoT, denoted by Social Internet of Things (SIoT). Although there have been early-stage studies in social-driven IoT, they merely use one or some properties of SIoT to improve a number of specific performance variables. Therefore, this paper first addresses a complete view on SIoT and key perspectives to envision the real ubiquitous computing. Thereafter, a literature review is presented along with the evolutionary history of IoT research from Intranet of Things to SIoT. Finally, this paper proposes a generic SIoT architecture and presents a discussion about enabling technologies, research challenges, and open issues.

A Framework for Social Device Networking

The concept of connectedness, as inspired by Social Networking Service, is a key factor which participates in changing the way people interact with each other over the Internet. On the other hand, connected world as envisioned by the Internet of Things aims to expand the idea of connectivity to include everything in the physical world to a big network called the Internet. In order to realize the integration between the world of connected people and the world of connected devices, intelligence including semantics and recommendation acts as a key factor to expand the basic communication functionalities to include search, discovery, mashup of new services and filtering. We propose a framework to facilitate the next generation of communication between people and devices, and a preliminary prototype including three modules DPWSim, ThingsGate, ThingsChat along with a use case discussion.

Towards a dynamic discovery of smart services in the social internet of things

Social Internet of Things (SIoT) extends the paradigm of IoT with its improved intelligence, user friendliness and context-awareness.The intelligence needed to integrate objects, services and people as the core of SIoT paradigm, increases the quantity and the variety of contextual data that must be handled.Two kinds of contextual data exist typically in SIoT scenarios; objective and subjective context; combining objective and subjective context for intelligent decision making is necessary for achieving situation-awareness (SA) in smart environments. The paradigm of the Social Internet of Things (SIoT) boosts a new trend wherein the connectivity and user friendliness benefits of Social Network Services (SNS) are exhibited within the network of connected objects, i.e. the Internet of Things (IoT). The SIoT exceeds the more traditional paradigm of IoT with an enhanced intelligence and context-awareness. In this paper, a novel service framework based on a cognitive reasoning approach for dynamic SIoT services discovery in smart spaces is proposed. That is, reasoning about users situational needs, preferences, and other social aspects along with users surrounding environment is proposed for generating a list of situation-aware services which matches users needs. This reasoning approach is then implemented as a proof-of-concept prototype, namely Airport Dynamic Social, within a smart airport. Finally, an empirical study to evaluate the reasoning approachs efficiency shows improved services adaptability to situational needs compared to common approaches proposed in literature. Display Omitted

A cognitive context-aware approach for adaptives services provisioning in Social Internet of Things

We propose architecture for adaptive services provisioning within Social Internet of Things; where both humans and objects interact via social structure of everything. Building on the socio-technical networks, we propose goal-driven, i.e. cognitive, context-awareness as the core for intelligence generation. Results shows reduced overhead of contextual data acquisition and processing.

A Community-Driven Access Control Approach in Distributed IoT Environments

The distributed Internet of Things is emerging in the literature as a new paradigm for IoT where remotely controlled smart objects can act on their own to sense/actuate, store, and interpret information either created by them or within the surrounding environment. This paradigm calls for novel security and access control mechanisms to enable smart objects with various resource limitations to evaluate a claimed access right from external entities without relying on central authorization systems. This article proposes utilizing a community-based structure to define the notion of access rights in a distributed IoT environment. With this structure, within a given community of smart objects sharing a common mission, access rights are to be evaluated based on the community norms by smart objects with sufficient resources on behalf of those with resource limitations. A novel, community-driven, access control framework is proposed in addition to a prototype to demonstrate access control granting in a user-friendly manner.

Access control in IoT: From requirements to a candidate vision

This paper investigates the main requirements for achieving Access Control (AC) in IoT as induced from literature. A novel AC architecture is then proposed as a candidate approach for AC in IoT taking into account the addressed requirements. That is, AC is proposed to be administered at the level of IoT communities sharing common attributes, i.e. mission, location, resource capability, or device owner, etc. Thus, AC is enforced via resource-capable devices, referred to as gatekeepers, on behalf of other resource-limited nodes in a given IoT community.