Integrating Context-Awareness and Trustworthiness in IoT Descriptions

Wan, Kaiyu; Alagar, Vangalur S.

doi:10.1109/greencom-ithings-cpscom.2013.203

Cited by 11 publications

(10 citation statements)

References 10 publications

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“…For a complete system to be trusted, it is not sufficient that individual layers of the systems are trusted, the cooperation between the layers need to be reliable as well [28]. For an IoT system to state the contexts in which it is available, it needs to be aware [29]. The two main types of awareness is self-awareness and context-awareness.…”

Section: Trustworthinessmentioning

confidence: 99%

“…29: A revised context diagram including the devices and services to be used by the family A new use case is made, listed below and depicted inFigure 5.30:• The mother uses the smart TV to stream Netflix. Use Case: The mother uses the smart tv to stream NetflixOnce the new context has been established, the team go on to step 2, creating a data flow diagram for the new use case, depicted inFigure 5.31.…”

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confidence: 99%

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Tool Support for Risk-driven Planning of Trustworthy Smart IoT Systems within DevOps

Thompson

Erdogan

2020

Proceedings of the 6th International Conference on Information Systems Security and Privacy

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The Internet of Things is rising in popularity across many different domains, such as build automation, healthcare, electrical smart metering and physical security. Many prominent IT experts and companies like Gartner expect there to be a continued rise in the amount of IoT endpoints, with an estimated 5.8 million endpoints in 2020. With the rapid growth of the devices, the physical nature of these devices, and the amount of data collected, there will be a greater need for trustworthiness. These devices often gather personal data and as the devices have relatively less computational power than other devices, security and privacy risks are greater. With the IoT systems often operating in highly dynamic environments, the development of these systems should often be done in an iterative manner. De-vOps is an increasingly popular agile practice which combines the development and operations of systems to provide continuous delivery. This is well suited for the development of IoT systems. However, there is currently a lack of support for risk driven planning of trustworthy smart IoT systems within DevOps. This thesis investigates currently available tools and methods for the planning of trustworthy smart IoT systems within DevOps. We also propose a tool-supported method with the purpose of assisting developers in the planning phase of DevOps with identifying security and privacy risks, and executing risk assessment algorithms. Furthermore we facilitate automatic real-time security and privacy risk assessment through our custom made API. Moreover we conduct a case study where we apply both our method and tool in a real-life smart home case. Based on our initial result we argue that our tool-supported method: is easy to use and understandable for developers, supports the planning of trustworthy smart IoT systems in the DevOps practice in terms of security and privacy risk assessment and it is appropriate for use in the DevOps practice in terms of adapting to new plans and flexible in response to changes in the system.

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Section: Trustworthinessmentioning

confidence: 99%

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confidence: 99%

Tool Support for Risk-driven Planning of Trustworthy Smart IoT Systems within DevOps

Thompson

Erdogan

2020

Proceedings of the 6th International Conference on Information Systems Security and Privacy

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“…Since then, IoT has been rapidly expanding to a vast ecosystem of technologies, machines, humans, and computing-communication-control devices. Although IoT definitions and requirements are numerous and no one is complete, we can embrace the most comprehensive descriptions variety, accuracy, timeliness, context, reliability, and trust [13,14]. In particular, smart cities need to have their sensors, used by different application domains (industrial, social, economic, …), to be connected either in a central unit or distributed network to manage contextual data [6].…”

Section: Iot-driven Bdmentioning

confidence: 99%

Characterization and Efficient Management of Big Data in IoT-Driven Smart City Development

Alsaig

Alagar

Chammaa

et al. 2019

Sensors

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Smart city is an emerging initiative for integrating Information and Communication Technologies (ICT) in effective ways to support development of smart cities with enhanced quality of life for its citizens through safe and secure context-aware services. Major technical challenges to realize smart cities include resource use optimization, service delivery without interruption at all times in all aspects, minimization of costs, and reduction of resource consumption. To address these challenges, new techniques and technologies are required for modeling and processing the big data generated and used through the underlying Internet of Things (IoT). To this end, we propose a data-centric approach to IoT in conceptualizing the “things” from a service-oriented perspective and investigate efficient ways to identify, integrate, and manage big data. The data-centric approach is expected to better support efficient management of data with complexities inherent in IoT-generated big data. Furthermore, it supports efficient and scalable query processing and reasoning techniques required in development of smart city applications. This article redresses the literature and contributes to the foundations of smart cities applications.

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“…Then, with {2 … } equations subtract equation = 1 as found in (3), this resulted in the formulation of (6), (6) Rearranging terms, (6) can be expressed in matrix form as can be found in (7) =…”

Section: = ×mentioning

confidence: 99%

“…GPS based systems are used by military, government agencies and commercial institutions to locate object, people, vehicles and etc. [1][2][3][4][5][6]. However, since GPS is a system which line of sight between GPS receiver and satellites is required to function effectively, it is tough to provide object positioning estimation in the complicated indoor environment such as inside a building.…”

Section: Introductionmentioning

confidence: 99%

A weighted least squares consideration for IR-UWB radar based device-free object positioning estimation for indoor environment

Daim

Lee

2019

IJEECS

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<p>Impulse Radio Ultra-Wideband (IR-UWB) radar is a type of radar functioning based on UWB transmission technology that uses an exceedingly wide bandwidth low power impulse signal to continuously transmitting and receiving the impulse signal for object detection within a range. To date, most of the proposed Ultra-Wideband (UWB) transmission technology based object positioning estimation systems for indoor environment depends on objects to be attached with an active UWB devices. In certain circumstances, it is ideal to track objects in passive manner without the requirement of any attached tracking devices or device-free object positioning estimation. IR-UWB radar has shown promising utilization in realizing device-free object positioning estimation for indoor environment. With this motivation, in this paper a work on weighted least squares consideration for IR-UWB radar based device-free object positioning estimation for indoor environment is presented.</p>

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Integrating Context-Awareness and Trustworthiness in IoT Descriptions

Cited by 11 publications

References 10 publications

Tool Support for Risk-driven Planning of Trustworthy Smart IoT Systems within DevOps

Tool Support for Risk-driven Planning of Trustworthy Smart IoT Systems within DevOps

Characterization and Efficient Management of Big Data in IoT-Driven Smart City Development

A weighted least squares consideration for IR-UWB radar based device-free object positioning estimation for indoor environment

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