scholarly journals A Blockchain-Based Distributed Paradigm to Secure Localization Services

Sensors ◽  
2021 ◽  
Vol 21 (20) ◽  
pp. 6814
Author(s):  
Roberto Saia ◽  
Alessandro Sebastian Podda ◽  
Livio Pompianu ◽  
Diego Reforgiato Reforgiato Recupero ◽  
Gianni Fenu

In recent decades, modern societies are experiencing an increasing adoption of interconnected smart devices. This revolution involves not only canonical devices such as smartphones and tablets, but also simple objects like light bulbs. Named the Internet of Things (IoT), this ever-growing scenario offers enormous opportunities in many areas of modern society, especially if joined by other emerging technologies such as, for example, the blockchain. Indeed, the latter allows users to certify transactions publicly, without relying on central authorities or intermediaries. This work aims to exploit the scenario above by proposing a novel blockchain-based distributed paradigm to secure localization services, here named the Internet of Entities (IoE). It represents a mechanism for the reliable localization of people and things, and it exploits the increasing number of existing wireless devices and blockchain-based distributed ledger technologies. Moreover, unlike most of the canonical localization approaches, it is strongly oriented towards the protection of the users’ privacy. Finally, its implementation requires minimal efforts since it employs the existing infrastructures and devices, thus giving life to a new and wide data environment, exploitable in many domains, such as e-health, smart cities, and smart mobility.

Sensors ◽  
2019 ◽  
Vol 19 (11) ◽  
pp. 2466 ◽  
Author(s):  
Maryam Naseer Malik ◽  
Muhammad Awais Azam ◽  
Muhammad Ehatisham-Ul-Haq ◽  
Waleed Ejaz ◽  
Asra Khalid

The Internet of Things is a rapidly growing paradigm for smart cities that provides a way of communication, identification, and sensing capabilities among physically distributed devices. With the evolution of the Internet of Things (IoTs), user dependence on smart systems and services, such as smart appliances, smartphone, security, and healthcare applications, has been increased. This demands secure authentication mechanisms to preserve the users’ privacy when interacting with smart devices. This paper proposes a heterogeneous framework “ADLAuth” for passive and implicit authentication of the user using either a smartphone’s built-in sensor or wearable sensors by analyzing the physical activity patterns of the users. Multiclass machine learning algorithms are applied to users’ identity verification. Analyses are performed on three different datasets of heterogeneous sensors for a diverse number of activities. A series of experiments have been performed to test the effectiveness of the proposed framework. The results demonstrate the better performance of the proposed scheme compared to existing work for user authentication.


2021 ◽  
Vol 9 (1) ◽  
pp. 912-931
Author(s):  
Pavan Madduru

To meet the growing demand for mobile data traffic and the stringent requirements for Internet of Things (IoT) applications in emerging cities such as smart cities, healthcare, augmented / virtual reality (AR / VR), fifth-generation assistive technologies generation (5G) Suggest and use on the web. As a major emerging 5G technology and a major driver of the Internet of Things, Multiple Access Edge Computing (MEC), which integrates telecommunications and IT services, provides cloud computing capabilities at the edge of an access network. wireless (RAN). By providing maximum compute and storage resources, MEC can reduce end-user latency. Therefore, in this article we will take a closer look at 5G MEC and the Internet of Things. Analyze the main functions of MEC in 5G and IoT environments. It offers several core technologies that enable the use of MEC in 5G and IoT, such as cloud computing, SDN / NFV, information-oriented networks, virtual machines (VMs) and containers, smart devices, shared networks and computing offload. This article also provides an overview of MEC's ​​role in 5G and IoT, a detailed introduction to MEC-enabled 5G and IoT applications, and future perspectives for MEC integration with 5G and IoT. Additionally, this article will take a closer look at the MEC research challenges and unresolved issues around 5G and the Internet of Things. Finally, we propose a use case that MEC uses to obtain advanced intelligence in IoT scenarios.


Author(s):  
Ganesh Khekare ◽  
Pushpneel Verma ◽  
Urvashi Dhanre ◽  
Seema Raut ◽  
Ganesh Yenurkar

The internet of things (IoT) is transpiring technology. In the last decade, demand of IoT has been increased due to various things like the use of smart devices; increased demand for voice-based services; the concept of smart cities has been evolved; more requirements of processed data in fields of artificial intelligence and machine learning; fog computing, deep learning, etc. IoT is expected to reach the milestone of 30 billion IoT units at the end of the year 2020. Internet of things is the network of statutory things like houses, private companies, automobiles, and various objects integrated with sensors, actuators, software, electronic equipment, and internet availability that provides the facility to devices to interchange their data. The main contribution of this article is to provide state of art about the characteristics, functionalities, and challenges of the internet of things and the journey of IoT right from start to how it will make an impact on people's quality of life throughout the world in the near future.


2018 ◽  
Vol 6 ◽  
pp. 129-134
Author(s):  
Ilya Gaisinsky ◽  
Natalya Niсonenko ◽  
Marina Perova Perova

In the modern society, Internet technologies are essential and are used in various fields of activity. This article covers the application of Internet technologies in the state and the municipal management areas. It includes the tools of Internet technologies most in demand at present for effective information interaction of authorities with citizens. The study explores new means of disseminating information using network technologies, such as the ‘Internet of Things’, and examines their application in state and municipal management areas. Social services of the Internet, which are the main technological trends of the third technology platform in the state and municipal management areas, are discussed with emphasis on the Internet technologies used in implementing ‘smart cities’. The scope of the study comprises the situation in Russia and the Rostov region. The paper concludes on the importance of using these technologies in the state and municipal management areas.


Author(s):  
Ahmad Mohammad Alsmadi ◽  
Roba Mahmoud Ali Aloglah ◽  
Nisrein Jamal sanad Abu-darwish ◽  
Ahmad Al Smadi ◽  
Muneerah Alshabanah ◽  
...  

With the advent of the number of smart devices across the globe, increasing the number of users using the Internet. The main aim of the fog computing (FC) paradigm is to connect huge number of smart objects (billions of object) that can make a bright future for smart cities. Due to the large deployments of smart devices, devices are expected to generate huge amounts of data and forward the data through the Internet. FC also refers to an edge computing framework that mitigates the issue by applying the process of knowledge discovery using a data analysis approach to the edges. Thus, the FC approaches can work together with the internet of things (IoT) world, which can build a sustainable infrastructure for smart cities. In this paper, we propose a scheduling algorithm namely the weighted round-robin (WRR) scheduling algorithm to execute the task from one fog node (FN) to another fog node to the cloud. Firstly, a fog simulator is used with the emergent concept of FC to design IoT infrastructure for smart cities. Then, spanning-tree routing (STP) protocol is used for data collection and routing. Further, 5G networks are proposed to establish fast transmission and communication between users. Finally, the performance of our proposed system is evaluated in terms of response time, latency, and amount of data used.


2020 ◽  
Author(s):  
Deekshaa Khanna

Technology is evolving rapidly, and cheaper and smaller devices that vary in size, computational power using cloud technologies or operating mode become available. These devices are always connected to form a network in order to enhance communication and data transmission. Such devices are largely referred to as smart devices e.g., smart homes, smart cities, smart cars, etc. that are connected to a complex infrastructure known as the Internet of things. Internet of Things generates a huge amount of data that poses significant challenges for processing and analysis. This research paper outlines various challenges and opportunities that are in the field of the Internet of Things.


Author(s):  
Jorge Rubén VÁZQUEZ-DEL RÍO ◽  
Sergio Alejandro CARDEÑA-MORENO ◽  
Luis Gerardo VILLAFAÑA-DÍAZ

Objectives - This research aims to explore the various challenges of cybersecurity in the Internet of Things in a Smart Mobility framework within Smart Cities by reviewing the academic literature. Methodology - Through the review and analysis of the academic literature available in different databases to generate an empirical study, the prospective knowledge on strategy and technology that concatenates the concepts of the Internet of Things, Smart Mobility, and Smart Cities is derived. Contribution - Cybersecurity schemes in today's Internet of Things still present significant challenges arising from the lack of clarity in policies and strategies regarding the reliability of data collection by the various services present in the Smart Mobility framework.


2014 ◽  
Vol 7 (2) ◽  
pp. 195-203 ◽  
Author(s):  
Richard A. Formato

Variable Z0(VZ0) antenna technology is a new design or optimization methodology applicable to any antenna on any platform designed or optimized with any procedure. It should be particularly useful for wireless devices populating the Internet of Things. VZ0expands the design or decision space by adding another degree of freedom invariably leading to better antennas. A simple design example illustrates its effectiveness.


This paper presents the design of 2*1 and 4*1 RFID reader microstrip array antenna at 2.4GHz for the Internet of things (IoT) networks which are Zigbee, Bluetooth and WIFI. The proposed antenna is composed of identical circular shapes radiating patches printed in FR4 substrate. The dielectric constant εr and substrate thickness h are 4.4 and 1.6mm, respectively. The 2*1 and 4*1 array antennas present a gain improvement of 27.3% and 61.9%, respectively. The single,2*1 and 4*1 array antennas were performed with CADFEKO.


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