scholarly journals A Review on AWS IoT for Automation and Monitoring STP System

2020 ◽  
pp. 246-249
Author(s):  
Manjusha Y ◽  
Prof. Sharada Kori
Keyword(s):  
Resource Management ◽  
Internet Of Things ◽  
Web Services ◽  
Raspberry Pi ◽  
Cloud Processing ◽  
Centralized Management ◽  
Custom Made ◽  
Full Solution ◽  
Iot Devices ◽  
Set Up

In this paper, cloud-based services aimed for the connectivity, monitoring, and management of the IoT devices are presented. To set up a network with a large number of devices in the constrained environment can be a challenge. Also, collecting, storing and analyzing data generated from sensors attached to the devices most often requires developing custom-made applications which imply time and cost consumption. Several cloud providers are offering IoT services that unite needed features into full solution offering connectivity between devices and the cloud, processing of data sent from devices and interaction with connected devices through the application. One of them is AWS IoT (Amazon Internet of Things) which is fully scalable, reliable and simple to use. This platform can collect data from a large number of different devices and connect them to endpoints for other tools, allowing a developer to tie received data into the independent application. Other aspects, like security, resource management, integration and centralized management are also covered. In this paper, we will evaluate the performance of the AWS IoT web services by connecting small, single board computers, like Raspberry Pi through different scenarios.

A Survey on Attacks and Defences on LoRaWAN Gateways

2021 ◽  
pp. 19-38
Author(s):  
Olof Magnusson ◽  
Rikard Teodorsson ◽  
Joakim Wennerberg ◽  
Stig Arne Knoph
Keyword(s):  
Internet Of Things ◽  
Long Range ◽  
Emerging Technology ◽  
The Internet ◽  
Area Network ◽  
Wide Area Network ◽  
Replay Attacks ◽  
Radio Signals ◽  
Iot Devices ◽  
Set Up

LoRaWAN (long-range wide-area network) is an emerging technology for the connection of internet of things (IoT) devices to the internet and can as such be an important part of decision support systems. In this technology, IoT devices are connected to the internet through gateways by using long-range radio signals. However, because LoRaWAN is an open network, anyone has the ability to connect an end device or set up a gateway. Thus, it is important that gateways are designed in such a way that their ability to be used maliciously is limited. This chapter covers relevant attacks against gateways and potential countermeasures against them. A number of different attacks were found in literature, including radio jamming, eavesdropping, replay attacks, and attacks against the implementation of what is called beacons in LoRaWAN. Countermeasures against these attacks are discussed, and a suggestion to improve the security of LoRaWAN is also included.

scholarly journals Setting Up Telemedicine: Internet of Things to Support Rural Oncology Clinics in a Low- and Middle-Income Country—A Pilot Project in Kenya

2020 ◽  
Vol 6 (Supplement_1) ◽  
pp. 58-58
Author(s):  
Lamech Sigu ◽  
Fredrick Chite ◽  
Emma Achieng ◽  
Andrew Koech
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Length Of Hospital Stay ◽  
Human Interaction ◽  
Sub Saharan Africa ◽  
Patient Treatment ◽  
The Internet ◽  
Tumor Boards ◽  
Iot Devices ◽  
Set Up

PURPOSE The Internet of Things (IoT) is a technology that involves all things connected to the Internet that share data over a network without requiring human-to-human interaction or human-to-computer interaction. Information collected from IoT devices can help physicians identify the best treatment process for patients and reach accurate and expected outcomes. METHODS The International Cancer Institute is partnering to set up remote oncology clinics in sub-Saharan Africa. Medical oncologists and expert teams from across the world connect with oncology clinics in other Kenyan counties—Kisumu, Meru, Makueni, Garissa, Kakamega, Bungoma, Siaya, and Vihiga counties. The furthest county is Garissa, approximately 651.1 km from Eldoret, and the nearest is Vihiga at 100.4 km from Eldoret. This study began July 2019, and as of November 30th, the team has hosted 21 sessions with an average of 11 participants attending a session led by a medical oncologist. RESULTS IoT devices have become a way by which a patient gets all the information he or she needs from a physician without going to the clinic. Patient monitoring can be done in real time, allowing access to real-time information with improved patient treatment outcomes and a decrease in cost. Through IoT-enabled devices, the International Cancer Institute has set up weekly virtual tumor boards during which cancer cases are presented and discussed by all participating counties. An online training module on cancer is also offered. Furthermore, remote monitoring of a patient’s health helps to reduce the length of hospital stay and prevents readmissions. CONCLUSION In our setting, which has a few oncologists, use of IoT and tumor boards has helped to improve patient decision support as well as training for general physicians.

scholarly journals Effectiveness of the NIZKP Protocol for Authentication in IoT Environment

2018 ◽  
Vol 7 (2.6) ◽  
pp. 231
Author(s):  
Teyi Yann Cedric Lawson ◽  
Senthilnathan T
Keyword(s):  
Performance Evaluation ◽  
Internet Of Things ◽  
Power Consumption ◽  
Elliptic Curve ◽  
Elliptic Curves ◽  
Credit Card ◽  
Raspberry Pi ◽  
Zero Knowledge ◽  
Iot Devices ◽  
A Performance

Elliptic Curves when compared to other encryptions scheme such as RSA etc., provides an equivalent security, smaller key sizes, less power consumption, faster calculations, less bandwidth used and is more suitable for Internet of Things devices. In addition of encrypting the data, the devices in the network should also be able to authenticate themselves, which can be achieved with the implementation of “Non-Interactive Zero Knowledge protocol” (NIZKP). This protocol involves two parties: The prover and the Verifier. Prover party should prove to the Verifier that they have the knowledge of something, without revealing what is it. In this paper, a study of Schnorr protocol or ∑- protocol over Elliptic Curves is done and the protocol is implemented in Python using the Python Cryptography Toolkit PyCrypto which is a collection of cryptographic modules implementing various algorithms and protocols. Finally, the results were compared with Elliptic Curve Diffie-Hellmann(ECDH) and present a performance evaluation of the protocols on the Raspberry Pi 3B model, a credit-card sized computer used for the development of IoT devices hence the perfect platforms to test the protocol.  

scholarly journals Analysis of WebAssembly as a Strategy to Improve JavaScript Performance on IoT Environments

2020 ◽  
Author(s):  
Fernando Oliveira ◽  
Júlio Mattos
Keyword(s):  
Internet Of Things ◽  
Mobile Applications ◽  
Raspberry Pi ◽  
The Internet ◽  
Memory Usage ◽  
C Language ◽  
Server Side ◽  
Benchmark Suite ◽  
Iot Devices ◽  
The Internet Of Things

JavaScript language (JS) has been widely used in recent years applied to browsers-context. Yet JS is being applied to other backgrounds such as server-side programming, mobile applications, games, robotics, and the Internet of Things (IoT). JavaScript is suitable for programming IoT devices due to eventdriven oriented architecture. However, it is an interpreted language, so it has a lower performance than a compiled language. This paper assesses the use of WebAssembly as a strategy to improve the performance of JavaScript applications in the IoT environment. The experiments were performed on a Raspberry Pi using the Ostrich Benchmark Suite. We run the algorithms in JavaScript, WebAssembly, and C language while collecting data about device resource consumption. Our results showed that JavaScript performance could be improved by 39.81% in terms of execution time, a tiny gain in memory usage, and reduced battery consumption by 39.86% when using WebAssembly.

scholarly journals A Novel Fog-IoT based Framework for Improving Performance of Cloud Computing

2019 ◽  
Vol 8 (12S) ◽  
pp. 889-895
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Secure Communication ◽  
Fog Computing ◽  
Cloud Service ◽  
Raspberry Pi ◽  
New Paradigm ◽  
Privacy And Security ◽  
Security Issues ◽  
Iot Devices

Internet-of-Things (IoT) has been considered as a fundamental part of our day by day existence with billions of IoT devices gathering information remotely and can interoperate within the current Internet framework. Fog computing is nothing but cloud computing to the extreme of network security. It provides computation and storage services via CSP (Cloud Service Provider) to end devices in the Internet of Things (IoT). Fog computing allows the data storing and processing any nearby network devices or nearby cloud endpoint continuum. Using fog computing, the designer can reduce the computation architecture of the IoT devices. Unfortunitily, this new paradigm IoT-Fog faces numerous new privacy and security issues, like authentication and authorization, secure communication, information confidentiality. Despite the fact that the customary cloud-based platform can even utilize heavyweight cryptosystem to upgrade security, it can't be performed on fog devices drectly due to reseource constraints. Additionally, a huge number of smart fog devices are fiercely disseminated and situated in various zones, which expands the danger of being undermined by some pernicious gatherings. Trait Based Encryption (ABE) is an open key encryption conspire that enables clients to scramble and unscramble messages dependent on client qualities, which ensures information classification and hearty information get to control. Be that as it may, its computational expense for encryption and unscrambling stage is straightforwardly corresponding to the multifaceted nature of the arrangements utilized. The points is to assess the planning, CPU burden, and memory burden, and system estimations all through each phase of the cloud-to-things continuum amid an analysis for deciding highlights from a finger tapping exercise for Parkinson's Disease patients. It will be appeared there are confinements to the proposed testbeds when endeavoring to deal with upwards of 35 customers at the same time. These discoveries lead us to a proper conveyance of handling the leaves the Intel NUC as the most suitable fog gadget. While the Intel Edison and Raspberry Pi locate a superior balance at in the edge layer, crossing over correspondence conventions and keeping up a self-mending network topology for "thing" devices in the individual territory organize.

scholarly journals COSMOS: Collaborative, Seamless and Adaptive Sentinel for the Internet of Things

Sensors ◽  
2019 ◽  
Vol 19 (7) ◽  
pp. 1492 ◽  
Author(s):  
Pantaleone Nespoli ◽  
David Useche Pelaez ◽  
Daniel Díaz López ◽  
Félix Gómez Mármol
Keyword(s):  
Internet Of Things ◽  
Real World ◽  
Smart Devices ◽  
Raspberry Pi ◽  
The Internet ◽  
Security Issues ◽  
Dynamic Scenario ◽  
Computer Based ◽  
Iot Devices ◽  
The Internet Of Things

The Internet of Things (IoT) became established during the last decade as an emerging technology with considerable potentialities and applicability. Its paradigm of everything connected together penetrated the real world, with smart devices located in several daily appliances. Such intelligent objects are able to communicate autonomously through already existing network infrastructures, thus generating a more concrete integration between real world and computer-based systems. On the downside, the great benefit carried by the IoT paradigm in our life brings simultaneously severe security issues, since the information exchanged among the objects frequently remains unprotected from malicious attackers. The paper at hand proposes COSMOS (Collaborative, Seamless and Adaptive Sentinel for the Internet of Things), a novel sentinel to protect smart environments from cyber threats. Our sentinel shields the IoT devices using multiple defensive rings, resulting in a more accurate and robust protection. Additionally, we discuss the current deployment of the sentinel on a commodity device (i.e., Raspberry Pi). Exhaustive experiments are conducted on the sentinel, demonstrating that it performs meticulously even in heavily stressing conditions. Each defensive layer is tested, reaching a remarkable performance, thus proving the applicability of COSMOS in a distributed and dynamic scenario such as IoT. With the aim of easing the enjoyment of the proposed sentinel, we further developed a friendly and ease-to-use COSMOS App, so that end-users can manage sentinel(s) directly using their own devices (e.g., smartphone).

scholarly journals Moisture Level Sensor Using Node-Red

2021 ◽  
pp. 406-412
Author(s):  
Maradani Bhuvana Chandra ◽  
Korada Puneeth ◽  
Gaurav Dubey
Keyword(s):  
Operating System ◽  
Internet Of Things ◽  
Web Services ◽  
Data Transfer ◽  
Moisture Level ◽  
Raspberry Pi ◽  
Data Transfer Protocol ◽  
Level Sensor ◽  
Amazon Web Services ◽  
Transfer Protocol

This paper presents the implementation of an Internet of Things (IoT) application that performs the Moisture level sensing through node MCU and Raspberry Pi, and data transfer to the Cloud of the Amazon Web Services or Raspberry Pi. The implementation is done using programming the Node MCU using Embedded C, Raspberry pi is Operated using Raspbian operating system and AWS EC2 Internet of Things platform based on the Node-RED tool installed on the Raspberry Pi and the AWS EC2. The Interconnection of data from the Node MCU to Raspberry Pi is done by MQTT Data Transfer Protocol and Mosquitto Protocol.

scholarly journals Improving Internet of Things (IoT) Security with Software-Defined Networking (SDN)

Computers ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 8 ◽  
Author(s):  
Abdullah Al Hayajneh ◽  
Md Zakirul Alam Bhuiyan ◽  
Ian McAndrew
Keyword(s):  
Internet Of Things ◽  
Computer Network ◽  
Software Defined Networking ◽  
Cyber Attacks ◽  
System Model ◽  
Raspberry Pi ◽  
Media Center ◽  
Area Of Interest ◽  
Man In The Middle ◽  
Iot Devices

There has been an increase in the usage of Internet of Things (IoT), which has recently become a rising area of interest as it is being extensively used for numerous applications and devices such as wireless sensors, medical devices, sensitive home sensors, and other related IoT devices. Due to the demand to rapidly release new IoT products in the market, security aspects are often overlooked as it takes time to investigate all the possible vulnerabilities. Since IoT devices are internet-based and include sensitive and confidential information, security concerns have been raised and several researchers are exploring methods to improve the security among these types of devices. Software defined networking (SDN) is a promising computer network technology which introduces a central program named ‘SDN Controller’ that allows overall control of the network. Hence, using SDN is an obvious solution to improve IoT networking performance and overcome shortcomings that currently exist. In this paper, we (i) present a system model to effectively use SDN with IoT networks; (ii) present a solution for mitigating man-in-the-middle attacks against IoT that can only use HTTP, which is a critical attack that is hard to defend; and (iii) implement the proposed system model using Raspberry Pi, Kodi Media Center, and Openflow Protocol. Our system implementation and evaluations show that the proposed technique is more resilient to cyber-attacks.

scholarly journals SensIoT: An Extensible and General Internet of Things Monitoring Framework

2019 ◽  
Vol 2019 ◽  
pp. 1-15 ◽  
Author(s):  
Marcel Großmann ◽  
Steffen Illig ◽  
Cornelius L. Matějka
Keyword(s):  
Internet Of Things ◽  
Performance Management ◽  
Current Data ◽  
Raspberry Pi ◽  
Service Orchestration ◽  
Monitoring Framework ◽  
Set Up ◽  
The University ◽  
Sensor Monitoring ◽  
Microservice Architecture

SensIoT is an open-source sensor monitoring framework for the Internet of Things, which utilizes proven technologies to enable easy deployment and maintenance while staying flexible and scalable. It closes the gap between highly specialized and, therefore, inflexible sensor monitoring solutions, which are only adjusted to a specific context, and the development of every other solution from scratch. Our framework fits a variety of use cases by providing an easy to set up, extensible, and affordable solution. The development is based on our former published framework MonTreAL, whose goal is to offer an environmental monitoring solution for libraries to guarantee cultural heritage to be conserved and prevented from serious damage, for example, from mold formation in closed stocks. It is a solution with virtualized microservices delivered by a famous container technology called Docker that is solely executable on one or more single board computers like the Raspberry Pi by providing automatic scaling and resilience of all sensor services. For SensIoT we extended the capability of MonTreAL to integrate commodity servers into the cluster to enhance the ease of setup and maintainability on already existing infrastructures. Therefore, we followed the paradigm to distribute microservices on small computing nodes first, thus not utilizing well-known cloud computing concepts. To achieve resilience and fault tolerance we also based our system on a microservice architecture, where the service orchestration is solved by Docker Swarm. As proof of concept, we are able to present our current data collection of the University of Bamberg’s Library that runs our system since autumn 2017. To make our system even better we are working on the integration of other sensor types and better performance management of SD-cards in Raspberry Pis.

scholarly journals PROBLEMS AND SECURITY THREATS TO IOT DEVICES

2021 ◽  
Vol 3 (11) ◽  
pp. 31-42
Author(s):  
Ivan Opirskyy ◽  
Roman Holovchak ◽  
Iryna Moisiichuk ◽  
Tetyana Balianda ◽  
Sofiia Haraniuk
Keyword(s):  
Internet Of Things ◽  
Information Transfer ◽  
The Internet ◽  
Security Threats ◽  
Security Issues ◽  
System Protection ◽  
Extended Type ◽  
Iot Devices ◽  
Set Up ◽  
The Internet Of Things

The Internet of Things or IoT is billions of physical devices connected to the Internet. Its main premise is simply an extended type of connection, which can then be used as a basis for all kinds of functions. IoT describes a network of physical objects - "things" that are built into sensors, software and other technologies to connect and communicate with other devices and systems over the Internet. Problems of system protection, including the use of IoT devices are studied by many scientists and specialists in this field, but in today's world, not every manufacturer is ready to declare vulnerabilities and general insecurity of their products (devices). Throughout the IoT environment, from manufacturers to users, there are still many IoT security issues, such as manufacturing standards, update management, physical hardening, user knowledge and awareness. This article examines the vulnerabilities of the Internet of Things. The analysis of information transfer technologies of IoT devices (in particular ZigBee, Signfox and Bluetooth) is carried out. The most common threats that a user may encounter have been identified and analyzed. It is also established that usually not only the manufacturer poses a threat to the security of IoT devices. There are also a number of tips for users who want to reduce the risk of data leakage associated with vulnerabilities in the Internet of Things. Unfortunately, it is not uncommon for such devices to be incorrectly set up, used and stored. Extremely common is the user's refusal to update the software, which in turn leaves open those vulnerabilities that the manufacturer is trying to fix. The main purpose of the article is to determine the causes of security threats to the Internet of Things, by analyzing data transmission technologies, analysis of the threats themselves, identifying the most critical of them and ways to reduce the risk of data theft

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