scholarly journals CIBERSECURITY ON INTERNET OF ROBOTICS THINGS: EXPERIMENTAL PLATFORM

10.6036/10022 ◽  
2021 ◽  
Vol DYNA-ACELERADO (0) ◽  
pp. [ 6 pp.]-[ 6 pp.]
Author(s):  
LUISALBERTO FLORES MONTAÑO ◽  
JUAN CARLOS HERRERA LOZADA ◽  
JACOBO SANDOVAL GUTIERREZ ◽  
RODRIGO VAZQUEZ LOPEZ ◽  
DANIEL LIBRADO MARTINEZ VAZQUEZ
Keyword(s):  
Industry 4.0 ◽  
Cloud Service ◽  
Raspberry Pi ◽  
The Internet ◽  
Multiple Robots ◽  
Experimental Platform ◽  
Different Types ◽  
Inherent Problem ◽  
Conventional Computer ◽  
Reliability And Availability

The Internet of Robotic Things (IoRT) is a technology that looks for monitoring, operating, and maintaining the tasks of multiple robots through the cloud. However, using these robots in cyberspace has a risk and an inherent problem in cybersecurity. To analyze the implications of this technology, the objective was to design, operate and submit an IoRT system with the default configuration. The proposed methodology consisted of designing an IoRT architecture; implement three robotic platforms linked to the cloud, applying a sniffing and spoofing cyberattacks, assess the impacts, and propose solutions. The experiment used three prototypes: two servo motors, a 6-degree-of-freedom arm, and a workstation with a robot. Additionally, the tools of the experiment were a conventional computer, a Raspberry Pi microcomputer, the Robotic Operative System middleware, the Kali Linux distribution, and the ThingSpeak cloud service. The contributions of the work were three, first it was proven that four types of links are sufficient to homologate, and ensure the integrity, reliability, and availability in the operation of different types of robots. Also, it was possible the connection of these robots even though they are not designed to work on the internet through a slave-robot node link. Finally, a real list of the consequences was obtained, given the vulnerabilities and the attacks tested, as well as some recommendations.Keywords: Cybersecurity, IoRT, Industry 4.0., Common Vulnerabilities and Exposures, Cloud, ROS.

scholarly journals Development of Raspberry-Pi Based IoT Agricultural System using Fuzzy Techniques

2020 ◽  
Vol 10 (1) ◽  
pp. 31-39
Keyword(s):  
National Development ◽  
Raspberry Pi ◽  
The Internet ◽  
Agricultural System ◽  
Traditional Farming ◽  
Crop Development ◽  
Smart Farming ◽  
Different Types ◽  
Fuzzy Techniques ◽  
The Internet Of Things

In India, agriculture plays an important role in national development. Agricultural problems have always hindered the country's development. The only solution to this is smart farming by modernizing traditional farming methods today. The Internet of Things (IOT) allows a variety of applications such as monitoring and selecting crop development, supporting irrigation decisions, etc. The result of this work is the monitoring of soil moisture, temperature, humidity, pH, reproduction and water level . Field Using a sensor network that collects data from different types of sensors and then sends it to the main server using Raspberry pi, it uses vague logic in real time to make decisions based on the decisions made by the system.

Multimedia system and database simulation based on internet of things and cloud service platform

2020 ◽  
pp. 1-12
Author(s):  
Zhang Caiqian ◽  
Zhang Xincheng
Keyword(s):  
Internet Of Things ◽  
Cloud Service ◽  
Multimedia System ◽  
The Internet ◽  
Multimedia Database ◽  
Cloud Platform ◽  
Service Platform ◽  
Device Management ◽  
Cloud Service Platform ◽  
The Internet Of Things

The existing stand-alone multimedia machines and online multimedia machines in the market have certain deficiencies, so they cannot meet the actual needs. Based on this, this research combines the actual needs to design and implement a multi-media system based on the Internet of Things and cloud service platform. Moreover, through in-depth research on the MQTT protocol, this study proposes a message encryption verification scheme for the MQTT protocol, which can solve the problem of low message security in the Internet of Things communication to a certain extent. In addition, through research on the fusion technology of the Internet of Things and artificial intelligence, this research designs scheme to provide a LightGBM intelligent prediction module interface, MQTT message middleware, device management system, intelligent prediction and push interface for the cloud platform. Finally, this research completes the design and implementation of the cloud platform and tests the function and performance of the built multimedia system database. The research results show that the multimedia database constructed in this paper has good performance.

Das Internet der Tiere: Natur 4.0 und die conditio humana

2016 ◽  
Vol 7 (2) ◽  
pp. 111-124
Author(s):  
Alexander Pschera
Keyword(s):  
Industry 4.0 ◽  
Industrie 4.0 ◽  
Human Condition ◽  
Digital Culture ◽  
The Internet ◽  
Conditio Humana ◽  
The Many ◽  
The Human Condition

"Neben der Industrie hat die Digitalisierung auch die Natur ergriffen. Die Tatsache, dass Tausende von Tieren mit GPS-Sendern aus- gerüstet und überwacht werden, erlaubt, analog zur Industrie 4.0 auch von einer Natur 4.0 zu sprechen. Dieses Internet der Tiere verändert den Begriff, den der Mensch von der Natur hat. Er transformiert die Wahrnehmung vor allem der Natur als etwas fundamental An- deren. Neben den vielen kulturellen Problematisierungen, die das Internet der Tiere mit sich bringt, lassen sich aber auch die Umrisse einer neuen, ganz und gar nicht esoterischen planetarisch-post-digitalen Kultur aufzeigen, die die conditio humana verändert. In addition to industry, digitalization has also taken hold of nature. The fact that thousands of animals are provided and monitored with GPS transmitters allows to speak of nature 4.0 by way of analogy to industry 4.0. This internet of animals changes our idea of nature. Most of all, it transforms the perception of nature as something fundamentally other. Beside the many cultural problems that the internet of animals implies, it can also outline a new, not at all esoteric planetary post-digital culture that is about to change the human condition. "

Digitaler Video-Aktivismus: Rhetorische Strategien der Protestmobilisierung im Internet : Digital Video Activism: Rhetorical Strategies of Protest Mobilization on the Internet

SPIEL ◽  
2019 ◽  
Vol 4 (1) ◽  
pp. 95-119
Author(s):  
Kathrin Fahlenbrach
Keyword(s):  
Digital Video ◽  
Central Place ◽  
The Internet ◽  
Rhetorical Strategies ◽  
Public Protest ◽  
Online Videos ◽  
Different Types ◽  
Digital Sphere

The Internet has become a central place for protest communication: the organization of protest actions, the networking of potential activists, the dissemination of information, the calling for participation in protest actions, and the mobilization of support for protest concerns. All these and other practices have migrated from the analog to the digital sphere of publicity on the Internet. Thus the forms and strategies of public protest and activism have also changed and expanded. The article traces the special conditions of protest mobilization on the Internet. Against this background it examines different types of activist online videos with their specific audiovisual rhetorical strategies.

scholarly journals A Survey on Blockchain-Based Search Engines

2021 ◽  
Vol 11 (15) ◽  
pp. 7063
Author(s):  
Esmaeel Rezaee ◽  
Ali Mohammad Saghiri ◽  
Agostino Forestiero
Keyword(s):  
Search Engines ◽  
Research Field ◽  
The Internet ◽  
Context Aware ◽  
Search System ◽  
Search Results ◽  
Related Information ◽  
Research Article ◽  
Different Types ◽  
Search History

With the increasing growth of different types of data, search engines have become an essential tool on the Internet. Every day, billions of queries are run through few search engines with several privacy violations and monopoly problems. The blockchain, as a trending technology applied in various fields, including banking, IoT, education, etc., can be a beneficial alternative. Blockchain-based search engines, unlike monopolistic ones, do not have centralized controls. With a blockchain-based search system, no company can lay claims to user’s data or access search history and other related information. All these data will be encrypted and stored on a blockchain. Valuing users’ searches and paying them in return is another advantage of a blockchain-based search engine. Additionally, in smart environments, as a trending research field, blockchain-based search engines can provide context-aware and privacy-preserved search results. According to our research, few efforts have been made to develop blockchain use, which include studies generally in the early stages and few white papers. To the best of our knowledge, no research article has been published in this regard thus far. In this paper, a survey on blockchain-based search engines is provided. Additionally, we state that the blockchain is an essential paradigm for the search ecosystem by describing the advantages.

scholarly journals Motion Planning for a Mobile Humanoid Manipulator Working in an Industrial Environment

2021 ◽  
Vol 11 (13) ◽  
pp. 6209
Author(s):  
Iwona Pajak ◽  
Grzegorz Pajak
Keyword(s):  
Kinetic Energy ◽  
Collision Avoidance ◽  
Industry 4.0 ◽  
Degrees Of Freedom ◽  
Industrial Environment ◽  
Acceleration Level ◽  
Different Types ◽  
Manipulability Measure ◽  
Robotic Tasks ◽  
Primary Problem

This paper presents the usage of holonomic mobile humanoid manipulators to carry out autonomous tasks in industrial environments, according to the smart factory concept and the Industry 4.0 philosophy. The problem of transporting lengthy objects, taking into account mechanical limitations, the conditions for avoiding collisions, as well as the dexterity of the manipulator arms was considered. The primary problem was divided into three phases, leading to three different types of robotic tasks. In the proposed approach, the pseudoinverse Jacobian method at the acceleration level to solve each of the tasks was used. The redundant degrees of freedom were used to satisfy secondary objectives such as robot kinetic energy, the maximization of the manipulability measure, and the fulfillment mechanical and collision-avoidance limitations. A computer example involving a mobile humanoid manipulator, operating in an industrial environment, illustrated the effectiveness of the proposed method.

scholarly journals Reliable Industry 4.0 Based on Machine Learning and IoT for Analyzing, Monitoring, and Securing Smart Meters

Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 487 ◽  
Author(s):  
Mahmoud Elsisi ◽  
Karar Mahmoud ◽  
Matti Lehtonen ◽  
Mohamed M. F. Darwish
Keyword(s):  
Machine Learning ◽  
Smart Grids ◽  
Industry 4.0 ◽  
Learning Algorithm ◽  
Cyber Physical Systems ◽  
The Internet ◽  
Smart Meters ◽  
Industrial Environment ◽  
Physical Systems ◽  
Smart Machines

The modern control infrastructure that manages and monitors the communication between the smart machines represents the most effective way to increase the efficiency of the industrial environment, such as smart grids. The cyber-physical systems utilize the embedded software and internet to connect and control the smart machines that are addressed by the internet of things (IoT). These cyber-physical systems are the basis of the fourth industrial revolution which is indexed by industry 4.0. In particular, industry 4.0 relies heavily on the IoT and smart sensors such as smart energy meters. The reliability and security represent the main challenges that face the industry 4.0 implementation. This paper introduces a new infrastructure based on machine learning to analyze and monitor the output data of the smart meters to investigate if this data is real data or fake. The fake data are due to the hacking and the inefficient meters. The industrial environment affects the efficiency of the meters by temperature, humidity, and noise signals. Furthermore, the proposed infrastructure validates the amount of data loss via communication channels and the internet connection. The decision tree is utilized as an effective machine learning algorithm to carry out both regression and classification for the meters’ data. The data monitoring is carried based on the industrial digital twins’ platform. The proposed infrastructure results provide a reliable and effective industrial decision that enhances the investments in industry 4.0.

Regulating for Content on the Internet: Meeting Cultural and Social Objectives for Broadband

2001 ◽  
Vol 101 (1) ◽  
pp. 19-31 ◽  
Author(s):  
Gerard Goggin ◽  
Catherine Griff
Keyword(s):  
The Internet ◽  
Final Report ◽  
Media Convergence ◽  
Different Types ◽  
The Future ◽  
Broadcasting Regulation ◽  
Productivity Commission ◽  
Specific Regulation ◽  
Film And Video ◽  
Do So

Much of the present debate about content on the internet revolves around how to control the distribution of different sorts of harmful or undesirable material. Yet there are considerable issues about whether sufficient sorts of desired cultural content will be available, such as ‘national’, ‘Australian’ content. In traditional broadcasting, regulation has been devised to encourage or mandate different types of content, where it is believed that the market will not do so by itself. At present, such regulatory arrangements are under threat in television, as the Productivity Commission Broadcasting Inquiry final report has noted. But what of the future for certain types of content on the internet? Do we need specific regulation and policy to promote the availability of content on the internet? Or is such a project simply irrelevant in the context of gradual but inexorable media convergence? Is regulating for content just as quixotic and fraught with peril as regulating of content from a censorship perspective often appears to be? In this article, we consider the case of Australian content for broadband technologies, especially in relation to film and video, and make some preliminary observations on the promotion and regulation of internet content.

scholarly journals Development of a Raspberry Pi-Based Sensor System for Automated In-Field Monitoring to Support Crop Breeding Programs

Inventions ◽  
2021 ◽  
Vol 6 (2) ◽  
pp. 42
Author(s):  
Worasit Sangjan ◽  
Arron H. Carter ◽  
Michael O. Pumphrey ◽  
Vadim Jitkov ◽  
Sindhuja Sankaran
Keyword(s):  
Real Time ◽  
Imaging System ◽  
Crop Growth ◽  
Sensor System ◽  
Plant Phenotyping ◽  
Raspberry Pi ◽  
The Internet ◽  
Growth Stages ◽  
Crop Breeding ◽  
Breeding Programs

Sensor applications for plant phenotyping can advance and strengthen crop breeding programs. One of the powerful sensing options is the automated sensor system, which can be customized and applied for plant science research. The system can provide high spatial and temporal resolution data to delineate crop interaction with weather changes in a diverse environment. Such a system can be integrated with the internet to enable the internet of things (IoT)-based sensor system development for real-time crop monitoring and management. In this study, the Raspberry Pi-based sensor (imaging) system was fabricated and integrated with a microclimate sensor to evaluate crop growth in a spring wheat breeding trial for automated phenotyping applications. Such an in-field sensor system will increase the reproducibility of measurements and improve the selection efficiency by investigating dynamic crop responses as well as identifying key growth stages (e.g., heading), assisting in the development of high-performing crop varieties. In the low-cost system developed here-in, a Raspberry Pi computer and multiple cameras (RGB and multispectral) were the main components. The system was programmed to automatically capture and manage the crop image data at user-defined time points throughout the season. The acquired images were suitable for extracting quantifiable plant traits, and the images were automatically processed through a Python script (an open-source programming language) to extract vegetation indices, representing crop growth and overall health. Ongoing efforts are conducted towards integrating the sensor system for real-time data monitoring via the internet that will allow plant breeders to monitor multiple trials for timely crop management and decision making.

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