An Adaptive Security Framework for the Internet of Things Applications Based on the Contextual Information

2019 ◽  
pp. 244-267
Author(s):  
Harsuminder Kaur Gill ◽  
Anil Kumar Verma ◽  
Rajinder Sandhu
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Security Policy ◽  
Learning Algorithm ◽  
Contextual Information ◽  
Service Access ◽  
Current Context ◽  
User Demand

With the growth of Internet of Things and user demand for personalized applications, context-aware applications are gaining popularity in current IT cyberspace. Personalized content, which can be a notification, recommendation, etc., are generated based on the contextual information such as location, temperature, and nearby objects. Furthermore, contextual information can also play an important role in security management of user or device in real time. When the context of a user or device changes, the security mechanisms should also be updated in real time for better performance and quality of service. Access to a specific resource may also be dependent upon user's/device's current context. In this chapter, the role of contextual information for IoT application security is discussed and a framework is provided which auto-updates security policy of the device based on its current context. Proposed framework makes use of machine learning algorithm to update the security policies based on the current context of the IoT device(s).

scholarly journals Real-Time Primitives for CoAP: Extending the Use of IoT for Time Constraint Applications for Social Good

Proceedings ◽  
2018 ◽  
Vol 2 (19) ◽  
pp. 1257
Author(s):  
Gabriel Eggly ◽  
Mariano Finochietto ◽  
Emmanouil Dimogerontakis ◽  
Rodrigo Santos ◽  
Javier Orozco ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Internet Of Things ◽  
Real Time ◽  
Processing Speed ◽  
Wireless Sensors ◽  
Communication Protocols ◽  
Social Good ◽  
Vulnerable Communities ◽  
The Social

Internet of Things (IoT) have become a hot topic since the official introduction of IPv6. Research on Wireless Sensors Networks (WSN) move towards IoT as the communication platform and support provided by the TCP/UDP/IP stack provides a wide variety of services. The communication protocols need to be designed in such a way that even simple microcontrollers with small amount of memory and processing speed can be interconnected in a network. For this different protocols have been proposed. The most extended ones, MQTT and CoAP, represent two different paradigms. In this paper, we present a CoAP extension to support soft real-time communications among sensors, actuators and users. The extension facilitates the instrumentation of applications oriented to improve the quality of life of vulnerable communities contributing to the social good.

scholarly journals Modelling Uptake Sensitivities of Connected and Automated Vehicle Technologies

2021 ◽  
Vol 10 (2) ◽  
pp. 88-106
Author(s):  
Gillian Harrison ◽  
Simon P. Shepherd ◽  
Haibo Chen
Keyword(s):  
Internet Of Things ◽  
Dynamic Modelling ◽  
Transport Systems ◽  
The Internet ◽  
Sensitivity Testing ◽  
Automated Vehicle ◽  
Vehicle Technologies ◽  
The Internet Of Things

Connected and automated vehicle (CAV) technologies and services are rapidly developing and have the potential to revolutionise the transport systems. However, like many innovations, the uptake pathways are uncertain. The focus of this article is on improving understanding of factors that may affect the uptake of highly and fully automated vehicles, with a particular interest in the role of the internet of things (IoT). Using system dynamic modelling, sensitivity testing towards vehicle attributes (e.g., comfort, safety, familiarity) is carried out and scenarios were developed to explore how CAV uptake can vary under different conditions based around the quality of IoT provision. Utility and poor IoT are found to have the biggest influence. Attention is then given to CAV ‘services' that are characterized by the attributes explored earlier in the paper, and it is found that they could contribute to a 20% increase in market share.

scholarly journals Real-time water quality monitoring through Internet of Things and ANOVA-based analysis: a case study on river Krishna

2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Prasad M. Pujar ◽  
Harish H. Kenchannavar ◽  
Raviraj M. Kulkarni ◽  
Umakant P. Kulkarni
Keyword(s):  
Water Quality ◽  
Internet Of Things ◽  
Real Time ◽  
River Basin ◽  
Water Quality Monitoring ◽  
Quality Parameters ◽  
Quality Monitoring ◽  
Quality Analysis ◽  
Water Quality Analysis

AbstractIn this paper, an attempt has been made to develop a statistical model based on Internet of Things (IoT) for water quality analysis of river Krishna using different water quality parameters such as pH, conductivity, dissolved oxygen, temperature, biochemical oxygen demand, total dissolved solids and conductivity. These parameters are very important to assess the water quality of the river. The water quality data were collected from six stations of river Krishna in the state of Karnataka. River Krishna is the fourth largest river in India with approximately 1400 km of length and flows from its origin toward Bay of Bengal. In our study, we have considered only stretch of river Krishna flowing in state of Karnataka, i.e., length of about 483 km. In recent years, the mineral-rich river basin is subjected to rapid industrialization, thus polluting the river basin. The river water is bound to get polluted from various pollutants such as the urban waste water, agricultural waste and industrial waste, thus making it unusable for anthropogenic activities. The traditional manual technique that is under use is a very slow process. It requires staff to collect the water samples from the site and take them to the laboratory and then perform the analysis on various water parameters which is costly and time-consuming process. The timely information about water quality is thus unavailable to the people in the river basin area. This creates a perfect opportunity for swift real-time water quality check through analysis of water samples collected from the river Krishna. IoT is one of the ways with which real-time monitoring of water quality of river Krishna can be done in quick time. In this paper, we have emphasized on IoT-based water quality monitoring by applying the statistical analysis for the data collected from the river Krishna. One-way analysis of variance (ANOVA) and two-way ANOVA were applied for the data collected, and found that one-way ANOVA was more effective in carrying out water quality analysis. The hypotheses that are drawn using ANOVA were used for water quality analysis. Further, these analyses can be used to train the IoT system so that it can take the decision whenever there is abnormal change in the reading of any of the water quality parameters.

A model for examining the role of the Internet of Things in the development of e-business

2019 ◽  
Vol 50 (1) ◽  
pp. 20-33 ◽  
Author(s):  
Babak Esmaeilpour Ghouchani ◽  
Susan Jodaki ◽  
Maryam Joudaki ◽  
Alireza Balali ◽  
Lila Rajabion
Keyword(s):  
Internet Of Things ◽  
Operating Cost ◽  
The Internet ◽  
Content Type ◽  
Proposed Model ◽  
It Knowledge ◽  
The Internet Of Things ◽  
Security Of Iot

Purpose Nowadays, the Internet of Things (IoT) offers new intelligent services and business model opportunities by extending the internet connectivity into physical devices and daily objects. Recently, this technology has had a deep impact on all the aspects of human societies from industry to management and business. Therefore, the purpose of this paper is to predict the impact of using IoT services on the development of electronic business (e-business). Design/methodology/approach For evaluating the model’s elements, a questionnaire was designed. It was revised by experts with significant experiences. For statistical analysis, SmartPLS 3.2 is used. Findings The findings have confirmed the validity of the proposed model. The results also have indicated that the quality of IoT services (scalability, availability, reliability and ease of use), security of IoT services (trust, reputation, privacy and encryption) and IT knowledge of users (usage skills, awareness, experience and accuracy) have a positive and significant impact on development of e-business. Furthermore, the obtained results have revealed that the operating cost of IoT services (transmission time, storage capacity, functionality and stability) is significantly influenced by the development of e-business. Research limitations/implications By capturing a number of important factors in the proposed model, this study can provide a significant theoretical influence for researchers in the related area of interest. In fact, this study provides a worthwhile direction by assessing e-business performance, which, so far, has not been well assessed in many developing countries. Practical implications From a practical perspective, the statistical results support the crucial role of the following factors: quality of IoT services, the security of IoT services, operating cost of IoT services and IT knowledge of users. Hence, aspects relating to these factors must be the focus of attention of any organization in their endeavor to development of e-business. Originality/value This study meaningfully contributes to the knowledge and literature by focusing more on development e-business and IoT as original technology for further understanding, investigating other important features and applying advanced statistical analyses technique. By doing so, this study was able to develop the current understanding regarding the main aspects of development e-business and IoT services.

scholarly journals R-learning-based team game model for Internet of things quality-of-service control scheme

2017 ◽  
Vol 13 (1) ◽  
pp. 155014771668755 ◽  
Author(s):  
Sungwook Kim
Keyword(s):  
Quality Of Service ◽  
Internet Of Things ◽  
Power Control ◽  
Service Management ◽  
Simulation Analysis ◽  
Learning Algorithm ◽  
Control Approach ◽  
Management Scheme ◽  
Internet Of Things Technology

In modern times, it has been observed that Internet of things technology makes it possible for connecting various smart objects together through the Internet. For the effective Internet of things management, it is necessary to design and develop service models that ensure appropriate level of quality-of-service. Therefore, the design of quality-of-service management schemes has been a hot research issue. In this work, we formulate a new quality-of-service management scheme based on the IoT system power control algorithm. Using the emerging and largely unexplored concept of the R-learning algorithm and docitive paradigm, system agents can teach other agents how to adjust their power levels while reducing computation complexity and speeding up the learning process. Therefore, our proposed power control approach can provide the ability to practically respond to current Internet of things system conditions and suitable for real wireless communication operations. Finally, we validate the introduced concept and confirm the effectiveness of the proposed scheme in comparison with the existing schemes through extensive simulation analysis.

scholarly journals IoTactileSim: A Virtual Testbed for Tactile Industrial Internet of Things Services

Sensors ◽  
2021 ◽  
Vol 21 (24) ◽  
pp. 8363
Author(s):  
Muhammad Zubair Islam ◽  
Shahzad ◽  
Rashid Ali ◽  
Amir Haider ◽  
Hyungseok Kim
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
High Reliability ◽  
Industrial Sector ◽  
Industrial Internet Of Things ◽  
Physical Environments ◽  
Industrial Internet ◽  
Virtual Testbed ◽  
Robotic Simulator

With the inclusion of tactile Internet (TI) in the industrial sector, we are at the doorstep of the tactile Industrial Internet of Things (IIoT). This provides the ability for the human operator to control and manipulate remote industrial environments in real-time. The TI use cases in IIoT demand a communication network, including ultra-low latency, ultra-high reliability, availability, and security. Additionally, the lack of the tactile IIoT testbed has made it more severe to investigate and improve the quality of services (QoS) for tactile IIoT applications. In this work, we propose a virtual testbed called IoTactileSim, that offers implementation, investigation, and management for QoS provisioning in tactile IIoT services. IoTactileSim utilizes a network emulator Mininet and robotic simulator CoppeliaSim to perform real-time haptic teleoperations in virtual and physical environments. It provides the real-time monitoring of the implemented technology parametric values, network impairments (delay, packet loss), and data flow between operator (master domain) and teleoperator (slave domain). Finally, we investigate the results of two tactile IIoT environments to prove the potential of the proposed IoTactileSim testbed.

Persistence and changes in state dependence in a Mapuche indigenous territory, Chile

2019 ◽  
Vol 40 (1) ◽  
pp. 146-168 ◽  
Author(s):  
Francisca de la Maza Cabrera ◽  
Carlos Felipe Bolomey Córdova
Keyword(s):  
State Dependence ◽  
Indigenous Communities ◽  
Public And Private ◽  
State Action ◽  
Police Action ◽  
Current Context ◽  
Mapuche People ◽  
State Employees

This article examines forms of state dependence in a Mapuche indigenous territory on the coast of the Araucanía Region, Chile. Public and private programmes have been implemented in this area to assist the development of a territory which is considered ‘poor’ and contains a large percentage of Mapuche people. We analyse three moments of state action from the 1990s down to the present, identifying forms of state dependence which persist and evolve; relations with local counterpart organisations and the role of state employees become crucial in these new forms of dependence. On this basis, we conclude that today there is less expressed demand for autonomy and self-determination processes among indigenous communities and their leaders in the studied territory, replaced by a demand for more public programmes and resources in pursuit of an ‘improvement’ in their quality of life. This is occurring despite the current context in Chile of greater political visibility of the indigenous problem and indigenous claims, leading in turn to more repressive police action.

A QoS Based Formal Model for Software Defined Network

2020 ◽  
Vol 10 (3) ◽  
pp. 395-401
Author(s):  
Vivek Srivastava ◽  
Ravi Shankar Pandey
Keyword(s):  
Real Time ◽  
Channel Capacity ◽  
Packet Loss ◽  
Formal Model ◽  
Optimal Path ◽  
Network Size ◽  
Central Controller ◽  
High Traffic Volume

Background & Objective: Software-Defined Networks (SDN) decouple the responsibility of data plane, control plane and aggregates responsibilities at the controller. The controller manages all the requests generated from distributed switches to get the optimal path for sending data from source to destination using load balancing algorithms. The guarantee of packet reachability is a major challenge in real time scenario of a SDN which depends on components of network infrastructure as switches, a central controller, channel capacity and server load. The success of this aggregation and packet reachability demand is a high Quality of Service (QoS) requirement in terms of throughput, delay and packet loss due to high traffic volume and network size. This QoS has two perspectives one is required other is a computation of real QoS value. Methods: In this paper, we have presented the QoS based formal model of SDN to compute and to investigate the role of the real QoS value. This formal model includes QoS on the basis of packet movement hop by hop which is a real-time QoS. The hop by hop packet movement reliability has been computed using channel capacity and server load which is an abstraction of throughput, delay, and packet loss. The effect of channel capacity and server load can be varying using different values of the weight factor. We have also considered an equal role of channel capacity and server load to compute reliability. This QoS helps to the controller to match with required QoS to decide the better path. Conclusion: Our results finds the reliable path based on channel capacity and server load of the network. Also, results showed that the reliability of the network and controller which are based on the reliability of the packet delivery between two nodes.

The Role of Augmented Reality within Ambient Intelligence

2014 ◽  
pp. 73-88
Author(s):  
Kevin Curran ◽  
Denis McFadden ◽  
Ryan Devlin
Keyword(s):  
Augmented Reality ◽  
Real Time ◽  
Physical Environment ◽  
Intelligent Systems ◽  
Ambient Intelligence ◽  
Contextual Information ◽  
Ambient Intelligent

An Augmented Reality (AR) is a technology which provides the user with a real time 3D enhanced perception of a physical environment with addition virtual elements—either virtual scenery, information regarding surroundings, other contextual information—and is also capable of hiding or replacing real structures. With Augmented Reality applications becoming more advanced, the ways the technology can be viably used is increasing. Augmented Reality has been used for gaming several times with varying results. AR systems are seen by some as an important part of the ambient intelligence landscape. Therefore, the authors present several types of augmentation applications of AR in the domestic, industrial, scientific, medicinal, and military sectors which may benefit future ambient intelligent systems.

Review of the Role of the Internet of Things (IoT) on the Consumer Market

2021 ◽  
pp. 180-198
Author(s):  
Yong Kyu Lee
Keyword(s):  
Internet Of Things ◽  
Wearable Devices ◽  
The Internet ◽  
Consumer Market ◽  
Daily Lives ◽  
Information And Communication ◽  
Iot Devices ◽  
The Internet Of Things

This chapter reviews the internet of things (IoT) as a key component of a smart city and how it is applied to consumers' daily lives and business. The IoT is a part of information and communication technology (ICT) and is considered a powerful means to improve consumers' quality of life. The “thing” could be any object which has internet capability, such as wearable devices and smart TVs/phones/speakers. Several studies have identified driving factors that have led consumers to adopting them, but also concerns of consumers' resistance to IoT devices. The three major fields of application of IoT technologies were selected to review the role of the IoT in consumers' daily lives and business.

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