Intelligent Mobile Hardware-Software Device for Automated Testing and Monitoring of Computer Networks Based on Raspberry Pi

2021 ◽  
Author(s):  
Ademi B. Ospanova ◽  
Berik I. Tuleuov ◽  
Aizhan K. Tokkuliyeva ◽  
Lazzat T. Kussepova ◽  
Aizhan T. Zharkimbekova
Keyword(s):  
Computer Networks ◽  
Automated Testing ◽  
Raspberry Pi

Network Security System Implementation Using Raspberry Pi-Based Random Port Knocking Sent Via Telegram

2018 ◽  
Vol 7 (2) ◽  
pp. 61-67
Author(s):  
Iga Revva Princiss Jeinever
Keyword(s):  
High Risk ◽  
Network Security ◽  
Computer Networks ◽  
Computer Network ◽  
Security System ◽  
Raspberry Pi ◽  
System Implementation ◽  
The Right ◽  
Network Administrators ◽  
Ip Block

Computer networks are basically not safe to access freely. Security gaps in the network can be seen by irresponsible people with various techniques. Opening a port for access carries a high risk of being attacked by an attacker. In this connection, network administrators are required to work more to be able to secure the computer network they manage. One form of network security that is often used by network administrators in server management is through remote login such as ports on telnet, SSH, etc. A port that is always open is a network security hole that can be used by people who are not responsible for logging into the server. Focusing on these problems, in this study, Random Port Knocking is the right way and can be used to increase network security. With Random Port Knocking, the port will be opened as needed, the port will automatically change when it fails to log in more than three times and IP will automatically be blocked and access will not continue so that attacks on the network can be avoided and network security stability can be further improved. The final result of this research shows that the method applied in this research makes server safe. Because port randomization and IP block make irresponsible parties try harder to penetrate firewall walls.

scholarly journals Implementation and Commercialization of the Results of the “Multidisciplinary Mobile Computer Classroom Based on Raspberry Pi” Project

2020 ◽  
Vol 15 (13) ◽  
pp. 116
Author(s):  
Aizhan Zharkimbekova ◽  
Ademi Ospanova ◽  
Kakim Sagindykov ◽  
Makhabbat Kokkoz
Keyword(s):  
Computer Networks ◽  
Operating Systems ◽  
Working Environment ◽  
Raspberry Pi ◽  
Training Manual ◽  
Practical Skills ◽  
Mobile Computer ◽  
Personal Support ◽  
Computer Classroom ◽  
Individual Training

This paper describes the developed technology for using the Raspberry Pi micro-computer to teach practical skills on computer networks and operating systems. The effectiveness of acquiring skills using the proposed technology is due to the fact that it allows organizing the workshops with personal support with the necessary special tools. The paper presents a largely implemented project on an initiative basis, preceding the work on commercialization of the described results. In the present work a full detailed content of the steps for implementation and subsequent commercialization of the solutions presented in the project is given. There was assembled a prototype of the hardware-software device. There were developed individual training kits for distribution to students in the classroom. To study the disciplines “Computer Networks” and “Operating Systems”, methodological recommendations on the operation and maintenance of the described computer class were prepared; a methodological manual is being prepared for studying these disciplines using these training kits; the guidelines for operation of devices and components were developed. The work also prepared boot files with the predefined working environment for each discipline. These files include the needed operating systems, the needed preinstalled software, a customized user interface, the needed literature, a training manual, and methodological recommendations. In terms of commercialization, the calculations were carried out on the costs of organizing a computer class based on the Raspberry Pi: implementation of the developed technology; the effectiveness of its implementation was evaluated. A commercial plan was drawn up and calculations were made on the current date with the reference mainly to Kazakhstan; the trial design and layout of the packaging case, information stickers and cover (as well as layout) of the training manual were completed; industrial designs were developed in order to prepare the project for commercialization. The results are practically significant, when they were received, widespread methodology and development tools were used, they can be universally used, including in the field of education without any restrictions.

To substantiate the principle of building local computer networks

2019 ◽  
pp. 194-201
Author(s):  
Dmitro Trushakov ◽  
◽  
Taras Glushenko ◽  
Nuzhny Vitaliy ◽  
◽  
...  
Keyword(s):  
Computer Networks ◽  
Local Computer

PROTOTYPE ALAT PEMANTAU SALURAN AIR BAWAH TANAH DENGAN MENGGUNAKAN WEBCAM C170 BERBASIS RASPBERRY PI

2015 ◽  
Vol 1 (1) ◽  
pp. 37-45
Author(s):  
Irwansyah Irwansyah ◽  
Hendra Kusumah ◽  
Muhammad Syarif
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Public Awareness ◽  
Underground Water ◽  
Raspberry Pi ◽  
Laptop Computer ◽  
Web Browser ◽  
Disaster Monitoring ◽  
The Times ◽  
Human Desire

Along with the times, recently there have been found tool to facilitate human’s work. Electronics is one of technology to facilitate human’s work. One of human desire is being safe, so that people think to make a tool which can monitor the surrounding condition without being monitored with people’s own eyes. Public awareness of the underground water channels currently felt still very little so frequent floods. To avoid the flood disaster monitoring needs to be done to underground water channels.This tool is controlled via a web browser. for the components used in this monitoring system is the Raspberry Pi technology where the system can take pictures in real time with the help of Logitech C170 webcam camera. web browser and Raspberry Pi make everyone can control the devices around with using smartphone, laptop, computer and ipad. This research is expected to be able to help the users in knowing the blockage on water flow and monitored around in realtime.

Implementasi Voip Server Berbasis IPV6 Dengan Raspberry PI

2019 ◽  
Vol 9 (01) ◽  
pp. 47-54
Author(s):  
Rabbai San Arif ◽  
Yuli Fitrisia ◽  
Agus Urip Ari Wibowo
Keyword(s):  
Internet Protocol ◽  
Wireless Transmission ◽  
Raspberry Pi ◽  
Test Results ◽  
Average Delay ◽  
Ipv6 Network ◽  
Ip Network ◽  
Selection Of ◽  
Better Than

Voice over Internet Protocol (VoIP) is a telecommunications technology that is able to pass the communication service in Internet Protocol networks so as to allow communicating between users in an IP network. However VoIP technology still has weakness in the Quality of Service (QoS). VOPI weaknesses is affected by the selection of the physical servers used. In this research, VoIP is configured on Linux operating system with Asterisk as VoIP application server and integrated on a Raspberry Pi by using wired and wireless network as the transmission medium. Because of depletion of IPv4 capacity that can be used on the network, it needs to be applied to VoIP system using the IPv6 network protocol with supports devices. The test results by using a wired transmission medium that has obtained are the average delay is 117.851 ms, jitter is 5.796 ms, packet loss is 0.38%, throughput is 962.861 kbps, 8.33% of CPU usage and 59.33% of memory usage. The analysis shows that the wired transmission media is better than the wireless transmission media and wireless-wired.

Conception and implementation of a course for professional training and education in the field of IoT and smart home security

2020 ◽  
Vol 2020 (3) ◽  
pp. 277-1-277-8
Author(s):  
Michael Pilgermann ◽  
Thomas Bocklisch ◽  
Reiner Creutzburg
Keyword(s):  
Smart Home ◽  
Professional Training ◽  
Raspberry Pi ◽  
Science Students ◽  
Training And Education ◽  
Home Security ◽  
Master Level ◽  
University Course ◽  
Home Technology ◽  
Smart Home Technology

The aim of this paper is to describe the new concept of a Master level university course for computer science students to address the issues of IoT and Smart Home Security. This concept is well suited for professional training for interested customers and allows the creation of practical exercises. The modular structure of the course contains lectures and exercises on the following topics: 1. Introduction - IoT and Smart Home Technology and Impact 2. Homematic Technology and Smart Home Applications 3. Loxone Technology and Smart Home Applications 4. Raspberry Pi and Smart Home Applications 5. Security of IoT and Smart Home Systems and contains laboratory exercises of diverse complexities.

An Adaptive Binarization Method for Cost-efficient Document Image System in Wavelet Domain

2020 ◽  
Vol 64 (3) ◽  
pp. 30401-1-30401-14 ◽  
Author(s):  
Chih-Hsien Hsia ◽  
Ting-Yu Lin ◽  
Jen-Shiun Chiang
Keyword(s):  
Wavelet Transform ◽  
Discrete Wavelet Transform ◽  
Document Image ◽  
Background Information ◽  
Raspberry Pi ◽  
Discrete Wavelet ◽  
Image System ◽  
Low Frequencies ◽  
Cost Efficient ◽  
Binarization Method

Abstract In recent years, the preservation of handwritten historical documents and scripts archived by digitized images has been gradually emphasized. However, the selection of different thicknesses of the paper for printing or writing is likely to make the content of the back page seep into the front page. In order to solve this, a cost-efficient document image system is proposed. In this system, the authors use Adaptive Directional Lifting-Based Discrete Wavelet Transform to transform image data from spatial domain to frequency domain and perform on high and low frequencies, respectively. For low frequencies, the authors use local threshold to remove most background information. For high frequencies, they use modified Least Mean Square training algorithm to produce a unique weighted mask and perform convolution on original frequency, respectively. Afterward, Inverse Adaptive Directional Lifting-Based Discrete Wavelet Transform is performed to reconstruct the four subband images to a resulting image with original size. Finally, a global binarization method, Otsu’s method, is applied to transform a gray scale image to a binary image as the output result. The results show that the difference in operation time of this work between a personal computer (PC) and Raspberry Pi is little. Therefore, the proposed cost-efficient document image system which performed on Raspberry Pi embedded platform has the same performance and obtains the same results as those performed on a PC.

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