An IoT based smart thermostat

Özgür, Levent; Akram, Vahid Khalilpour; Challenger, Moharram; Dağdeviren, Orhan

doi:10.1109/iceee2.2018.8391341

Cited by 20 publications

(8 citation statements)

References 5 publications

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“…The Honeywell thermostat can be controlled via a mobile device via a network connection. It connects to the network infrastructure wirelessly via WI-FI [27].…”

Section: Iot Thermostatmentioning

confidence: 99%

The Vulnerability of the Production Line Using Industrial IoT Systems under DDoS Attack

et al. 2021

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Internet of Things (IoT) devices are not only finding increasing use in ordinary households, but they have also become a key element for the Industry 4.0 concept. The implementation of industrial IoT devices into production streamlines the production process and reduces production costs. On the other hand, connected IoT devices bring new security risks to production and expose an industrial environment to new types of attacks. The article analyzes the vulnerability of the production line with implemented industrial IoT devices with consideration of a possible Distributed Denial-of-service (DDoS) attack led by attackers from the internet. Various types of DDoS attacks abusing the presence of IoT devices in the system were performed on an automated production line implementing sorting, preparation, and dosing of bulk and liquid materials for filling into containers. The leading attacks caused failure of the production line during the production, as well as the dysfunction of communication with IoT devices. The article also demonstrates the implementation of countermeasures against DDoS attacks and possible strategies to protect and mitigate such attacks on the production line.

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“…The Honeywell thermostat can be controlled via a mobile device via a network connection. It connects to the network infrastructure wirelessly via WI-FI [27].…”

Section: Iot Thermostatmentioning

confidence: 99%

The Vulnerability of the Production Line Using Industrial IoT Systems under DDoS Attack

et al. 2021

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“…Some examples of IoT in smart grids include smart switches, smart metering systems [164], Smart thermostats [165], smart batteries [166] etc. Smart grid IoT devices, which are used to monitor, control, and optimize the distribution of energy across the power grid, are increasingly being integrated with cloud-based services to enable remote management and analysis.…”

Section: Category 9: Iot In Smart Gridsmentioning

confidence: 99%

Agri-Info: Cloud Based Autonomic System for Delivering Agriculture as a Service

2020

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Cloud computing has emerged as an important paradigm for managing and delivering services efficiently over the Internet. Convergence of cloud computing with technologies such as wireless sensor networking and mobile computing offers new applications' of cloud services but this requires management of Quality of Service (QoS) parameters to efficiently monitor and measure the delivered services. This paper presents a QoS-aware Cloud Based Autonomic Information System for delivering agriculture related information as a service through the use of latest Cloud technologies which manage various types of agriculture related data based on different domains. Proposed system gathers information from various users through preconfigured devices and manages and provides required information to users automatically. Further, Cuckoo Optimization Algorithm has been used for efficient resource allocation at infrastructure level for effective utilization of resources. We have evaluated the performance of the proposed approach in Cloud environment and experimental results show that the proposed system performs better in terms of resource utilization, execution time, cost and computing capacity along with other QoS parameters. IntroductionCloud computing has emerged as an important paradigm for managing and delivering the new emerging applications in the field of healthcare, agriculture, education, finance, etc. efficiently over the internet. However, providing dedicated cloud services that ensure application's dynamic QoS (Quality of Service) requirements and user satisfaction is a big research challenge in cloud computing. As dynamism, heterogeneity and complexity of applications is increasing rapidly, this makes cloud systems unmanageable in service delivery. To overcome these problems, cloud systems require self-management of services. Autonomic cloud computing systems provide the environment in which applications can be managed efficiently by fulfilling QoS requirements of applications without human involvement [1] [2].In our earlier work [1] [14] [15] [16] [27], we have identified various research issues related to QoS and SLA for cloud resource scheduling and have developed a QoS based resource provisioning technique (Q-aware) to map the resources to the workloads based on used requirements described in the form of SLA. Further, resource scheduling framework (QRSF) has been proposed, in which provisioned resources have been scheduled by using different resource scheduling policies (cost, time, cost-time and bargaining based). The concept of QRSF has been further extended by proposing energy-aware autonomic resource scheduling technique (EARTH), in which IBM's autonomic computing concept has been used to schedule the resources automatically by optimizing energy consumption and resource utilization where user can easily interact with the system using available user interface. In this work, we have proposed a cloud based autonomic information system which delivers Agriculture as a Service (AaaS) through cloud infrastructure and se...

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“…A RESTful API is an architectural style for communications used in web service development, which was mentioned in [21] although the usage was not described in detail. The second study [22] present four RESTful services: one developed in Arduino and three mobile applications. A third study [23] integrated smart power outlets into the web and facilitated the development of extensions and novel features.…”

Section: Categories For Existing Studiesmentioning

confidence: 99%

Reducing Energy Consumption with IoT Prototyping

Saari¹,

Sillberg²,

Gronman³

et al. 2019

ACTA POLYTECH HUNG

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Nowadays, energy consumption and especially energy saving, are topics of great importance. Recent news regarding global warming has increased the need to save energy. In Finland, one of the major sources of energy consumption is housing. Furthermore, the heating of residential buildings accounts for up to 68% of housing energy consumption. Therefore, it is not surprising that apartment energy consumption and ways to save energy in housing are a popular research topic in Finland. In this paper, two different research areas are introduced: First, a literature survey is presented on the research subjects of energy saving in the area of real estate and housing. The goal is to gain overall knowledge of the current state of energy saving research. The overall conclusion is that knowledge of energy consumption improves efforts toward energy saving. Second, rapid prototyping with off-the-shelf devices and open source software are described. These devices are cheap to install, and a wide range of sensors are available. Consequently, it is important to deal with these topics together. The former studies provide knowledge about the usage of open hardware, open software, and open architectures with the development of prototype systems for gathering data. The literature survey gives us new information on the specialties of energy consumption measuring, offering a new area for modeling and developing prototype systems. These experiences will be taken forward and utilized in energy saving and environmentally sustainable solutions, such as Green Computing.

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An IoT based smart thermostat

Cited by 20 publications

References 5 publications

The Vulnerability of the Production Line Using Industrial IoT Systems under DDoS Attack

The Vulnerability of the Production Line Using Industrial IoT Systems under DDoS Attack

Agri-Info: Cloud Based Autonomic System for Delivering Agriculture as a Service

Reducing Energy Consumption with IoT Prototyping

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