A capability-based security approach to manage access control in the Internet of Things

Even though public awareness about privacy risks in the Internet is increasing, in the evolution of the Internet to the Internet of Things (IoT) these risks are likely to become more relevant due to the large amount of data collected and processed by the “Things”. The business drivers for exploring ways to monetize such data are one of the challenges identified in this paper for the protection of Privacy in the IoT. Beyond the protection of privacy, this paper highlights the need for new approaches, which grant a more active role to the users of the IoT and which address other potential issues such as the Digital Divide or safety risks. A key facet in ethical design is the transparency of the technology and services in how that technology handles data, as well as providing choice for the user. This paper presents a new approach for users’ interaction with the IoT, which is based on the concept of Ethical Design implemented through a policy-based framework. In the proposed framework, users are provided with wider controls over personal data or the IoT services by selecting specific sets of policies, which can be tailored according to users’ capabilities and to the contexts where they operate. The potential deployment of the framework in a typical IoT context is described with the identification of the main stakeholders and the processes that should be put in place.

/pdf/ethical-design-in-the-internet-of-things-2ft2hwx7wf.pdf

Ethical Design in the Internet of Things.

The traditional databases are not capable of handling unstructured data and high volumes of real-time datasets Diverse datasets are unstructured lead to big data, and it is laborious to store, manage, process, analyze, visualize, and extract the useful insights from these datasets using traditional database approaches However, many technical aspects exist in refining large heterogeneous datasets in the trend of big data This paper aims to present a generalized view of complete big data system which includes several stages and key components of each stage in processing the big data In particular, we compare and contrast various distributed file systems and MapReduce-supported NoSQL databases concerning certain parameters in data management process Further, we present distinct distributed/cloud-based machine learning (ML) tools that play a key role to design, develop and deploy data models The paper investigates case studies on distributed ML tools such as Mahout, Spark MLlib, and FlinkML Further, we classify analytics based on the type of data, domain, and application We distinguish various visualization tools pertaining three parameters: functionality, analysis capabilities, and supported development environment Furthermore, we systematically investigate big data tools and technologies (Hadoop 30, Spark 23) including distributed/cloud-based stream processing tools in a comparative approach Moreover, we discuss functionalities of several SQL Query tools on Hadoop based on 10 parameters Finally, We present some critical points relevant to research directions and opportunities according to the current trend of big data Investigating infrastructure tools for big data with recent developments provides a better understanding that how different tools and technologies apply to solve real-life applications

The big data system, components, tools, and technologies: a survey

This paper discusses the design of a Digital Twin (DT) demonstrator for Smart Manufacturing, following an open source approach for implementation. Open source technology can comprise of software, h...

/pdf/an-open-source-approach-to-the-design-and-implementation-of-38uty1vakc.pdf

An open source approach to the design and implementation of Digital Twins for Smart Manufacturing

Resource and information protection plays a relevant role in distributed systems. Most of the currently proposed authorization frameworks do not provide scalable, manageable, effective, and efficient mechanisms to support distributed systems with many interacting services. The advent of IoT will further increase the need for scalable and manageable solutions able to face the potentially unbound number of sensors, actuators and related resources, services and subjects. This is even more relevant if we take into account that IoT environments can envisage not only a greater number of resources to manage, but also a substantial increase of the interaction dynamics. This paper presents a capability based access control system that enterprises, or even individuals, can use to manage their own access control processes to services and information. The proposed mechanism supports rights delegation and a more sophisticated access control customization. The proposed approach is being developed within the European FP7 IoT@Work project to manage access control for some of the project's services deployed in the shop floor.

IoT Access Control Issues: A Capability Based Approach

Publish/subscribe is a distributed interaction paradigm well adapted to the deployment of scalable and loosely coupled systems.Apache Kafka and RabbitMQ are two popular open-source and commercially-supported pub/sub systems that have been around for almost a decade and have seen wide adoption. Given the popularity of these two systems and the fact that both are branded as pub/sub systems, two frequently asked questions in the relevant online forums are: how do they compare against each other and which one to use?In this paper, we frame the arguments in a holistic approach by establishing a common comparison framework based on the core functionalities of pub/sub systems. Using this framework, we then venture into a qualitative and quantitative (i.e. empirical) comparison of the common features of the two systems. Additionally, we also highlight the distinct features that each of these systems has. After enumerating a set of use cases that are best suited for RabbitMQ or Kafka, we try to guide the reader through a determination table to choose the best architecture given his/her particular set of requirements.

pdf/kafka-versus-rabbitmq-a-comparative-study-of-two-industry-3jc4odgnht.pdf

Kafka versus RabbitMQ: A comparative study of two industry reference publish/subscribe implementations: Industry Paper

Publish/subscribe is a distributed interaction paradigm well adapted to the deployment of scalable and loosely coupled systems. 
Apache Kafka and RabbitMQ are two popular open-source and commercially-supported pub/sub systems that have been around for almost a decade and have seen wide adoption. Given the popularity of these two systems and the fact that both are branded as pub/sub systems, two frequently asked questions in the relevant online forums are: how do they compare against each other and which one to use? 
In this paper, we frame the arguments in a holistic approach by establishing a common comparison framework based on the core functionalities of pub/sub systems. Using this framework, we then venture into a qualitative and quantitative (i.e. empirical) comparison of the common features of the two systems. Additionally, we also highlight the distinct features that each of these systems has. After enumerating a set of use cases that are best suited for RabbitMQ or Kafka, we try to guide the reader through a determination table to choose the best architecture given his/her particular set of requirements.

Kafka versus RabbitMQ.

A profound impact of the Web2.0 lies in its power to transform skilled users into service providers, resulting in more complex value networks. As recently traditional “operated” network infrastructure is complemented with huge amounts of connected smart objects (the Internet-of-Things), the same mass creativity can be made applicable to smart, context-enabled services with real-world interactivity, collaboratively created by end users with varying degrees of programming skills. We report on a vision and solutions addressing easy, do-it-yourself service creation by the masses in an Internet-of-Things-enabled world, from which we discuss the (i) value networks, (ii) enabling technology framework, and (iii) domain-specific proof-of- concepts. Keywords-Internet-of-Things; Long Tail; Service Delivery; Web2.0; user programming; smart objects; context awareness

Towards Abundant DiY Service Creativity Successfully Leveraging the Internet-of-Things in the City and at Home

The connected car is likely to play a fundamental role in the foreseeable Internet of Things. The connectivity aspect in combination with the available data (e.g. from GPS, on-board diagnostics, road sensors) and video (e.g. from dashcams and traffic cameras) streams enable a range of new applications, e.g., accident avoidance, online route planning, energy optimization, etc.These applications, however, come with an additional set of requirements which are not accommodated by the state-of-the-art stream processing platforms. We have built World-Wide Streams (WWS), a novel stream processing platform that has been explicitly designed with those requirements in mind. In this demo presentation, we will show a number of connected car scenarios that we have built on top of WWS.

Building Connected Car Applications on Top of the World-Wide Streams Platform: Demo

A profound impact of the Web2.0 lies in its power to transform skilled users into service providers, resulting in more complex value networks. As recently traditional “operated” network infrastructure is complemented with huge amounts of connected smart objects (the Internet-of-Things), the same mass creativity can be made applicable to smart, context-enabled services with real-world interactivity, collaboratively created by end users with varying degrees of programming skills. We report on a vision and solutions addressing easy, do-it-yourself service creation by the masses in an Internet-of-Things-enabled world, from which we discuss the (i) value networks, (ii) enabling technology framework, and (iii) domain-specific proof-of-concepts.

Towards abundant DiY service creativity

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