Intelligent Approach to Network Device Migration Planning towards Software-Defined IPv6 Networks

Internet and telecom service providers worldwide are facing financial sustainability issues in migrating their existing legacy IPv4 networking system due to backward compatibility issues with the latest generation networking paradigms viz. Internet protocol version 6 (IPv6) and software-defined networking (SDN). Bench marking of existing networking devices is required to identify their status whether the existing running devices are upgradable or need replacement to make them operable with SDN and IPv6 networking so that internet and telecom service providers can properly plan their network migration to optimize capital and operational expenditures for future sustainability. In this paper, we implement “adaptive neuro fuzzy inference system (ANFIS)”, a well-known intelligent approach for network device status identification to classify whether a network device is upgradable or requires replacement. Similarly, we establish a knowledge base (KB) system to store the information of device internetwork operating system (IoS)/firmware version, its SDN, and IPv6 support with end-of-life and end-of-support. For input to ANFIS, device performance metrics such as average CPU utilization, throughput, and memory capacity are retrieved and mapped with data from KB. We run the experiment with other well-known classification methods, for example, support vector machine (SVM), fine tree, and liner regression to compare performance results with ANFIS. The comparative results show that the ANFIS-based classification approach is more accurate and optimal than other methods. For service providers with a large number of network devices, this approach assists them to properly classify the device and make a decision for the smooth transitioning to SDN-enabled IPv6 networks.

Securing an IoT Medical System Using AI and a Unidirectional Network Device: Application to a Driver

Security in systems and networks has always been a major issue for IT administrators. When it comes to medical applications, this concern is much more important due to the sensitivity of data and the risks that may be caused due to alteration or falsification of such critical information. The proposed paper presents a solution to assure the best security possible in such an environment. Thus, based on an application that monitors a driver’s health while driving his car, a data diode will be implemented in order to assure security of the system by forcing unidirectional flow of network data to the healthcare provider side. Added to that, an AI-based program will be developed to verify the confidentiality, the integrity and the availability of the exchanged data and to check the patient health for abnormalities. Every sub-part of the system has been tested separately and results have shown that falsified data has been filtered out of the received end, e.g. the healthcare provider side.

PEMANTAUAN JARINGAN MENGGUNAKAN NAGIOS DAN ZABBIX DENGAN NOTIFIKASI TELEGRAM MESSENGER DAN GOOGLE MAIL

Penggunaan Nagios dan Zabbix sebagai alat untuk mendeteksi dan mengirimkan notifikasi peringatan apabila terdapat suatu device atau host yang mati secara tiba-tiba (down). Objek pemantauan dari penelitian ini adalah IP kamera CCTV (Internet Protocol Closed Circuit Television) dan server kamera (Host Windows) yang mengelola IP kamera tersebut. Kegagalan sistem ini dapat disebabkan karena pemadaman listrik. Hal ini menyebabkan matinya seluruh perangkat jaringan (network device). Maka dari itu perlu sebuah notifikasi secara real time apabila salah satu dari kamera atau server kamera mengalami kegagalan sistem. Penelitian ini menggunakan metodologi Network Development Life Cycle (NDLC). Dalam penelitian ini dapat disimpulkan bahwa penggunaan aplikasi Telegram dan Gmail bisa digunakan sebagai alat untuk mendapatkan notifikasi di perangkat telepon pintar. Pengiriman notifikasi dari aplikasi Nagios akan langsung dikirimkan (tanpa penundaan pengiriman) ke Telegram dan Gmail setelah terdeteksi status down / up sedangkan aplikasi Zabbix mengalami penundaan. Tetapi aplikasi Zabbix dapat medeteksi lebih cepat daripada aplikasi Nagios untuk pantauan Host Windows dan IP Kamera.

Securing 5G-IoT Device Connectivity and Coverage Using Boltzmann Machine Keys Generation

In terms of growth, effect, and capability, the 5G-enabled Internet of Things (IoT) is incredible. The volume of data distributed and processed by IoT (Internet of Things) systems that trust connectivity and coverage raises some security problems. As IoT technology is directly used in our daily lives, the threats of present cyberspace may grow more prominent globally. Extended network life, coverage, and connectivity are all required for securing IoT-based 5G network devices. As a result of these failures, there are flaws that lead to security breaches. Because purposeful faults can quickly render the entire network dysfunctional, they are more difficult to identify than unexpected failures. Securing IoT-based 5G Network Device Connectivity and Coverage for expending Encryption and Authentication Scheme (EAS) framework is proposed in this study, which uses novel security flaws. In this research, we proposed a Boltzmann machine (BMKG)-based encryption algorithm for securing 5G-enabled IoT device network environment and compared various asymmetric algorithms for key exchange.

Pengembangan Infrastruktur Pembelajaran Daring Menggunakan Antena Unidirectional

Situation during COVID19 pandemic, requires all schools to conduct online learning. This condition is done to prevent the spread of pandemic. The problem is that the infrastructure is not fully supported. Learning in marginal areas is still constrained by the difficulty of the signal or internet connection. This research was conducted to obtain an infrastructure design that can be used in areas with minimal internet connection, or even no internet network connection. Using R&D, the research begins by designing a network device on the school side – Acces Point, also a tool to expand coverage - repeater. Furthermore, design and testing of signal amplifier antennas that can be used on the client side is carried out. For the client side, several types of amplifier antennas are made that can be used to receive Wifi frequencies. There are three types of antennas that are made and tested, namely Yagi, Yagi Cross, and cantennas. Both are Unidirectional antenna. Connection quality is measured with a Wifi analyzer device to determine network quality. As for mobile phones, it is measured using the Wifi Master Key. The result obtained is a WELAN infrastructure design which is equipped with unidirectional antenna design with a total range of 8 Km.

Analisis dan Implementasi Software Defined Networking (SDN) untuk Automasi Perangkat Jaringan

This study aims to build a network automation infrastructure by implementing a Software Defined Networking (SDN)-based web application to facilitate network administrators in implementing a web-based controller system for network devices by optimizing the configuration, management and operation time of network devices. This research uses action research method. In the action research method, researchers can describe, interpret and explain a condition at the same time as carrying out interventions aimed at improvement or participation. The results of this study indicate that the design and implementation of a Software Defined Networking (SDN)-based web application for network device automation using the python programming language with the paramiko library and the django framework can be applied to network infrastructure, so that with the application of SDN on network device automation applications can perform controllers. centralized network devices, so that configurations of many routers can be optimally carried out on a single Software Defined Networking (SDN) based web application

Development of Augmented Reality Application for Learning Computer Network Device

<span lang="EN-US">Applied augmented reality works by detecting imageries or pictures, normally called markers, by using smartphone camera that detects these preplaced markers. Augmented reality has seen wide application in various fields, one of them is education. In the field of education, augmented reality is utilized to make learning process more engaging and attractive. Starting from the problem that learning computer networks on introduce to network device which is currently still delivered conventionally. So, this research makes a solution to this problem by developing learning media using augmented reality (AR) technology, which is a technology that combines two-dimensional or three-dimensional virtual objects into a real environment and then projects these virtual objects in real time. The purpose of this research is to build AR-based applications in learning computer network devices in order to increase understanding, generate motivation and student interest. The methodology used in this research consist of Envisioning Phase(Problem Identification, Planning Phase(Planning), Developing Phase(Design), Stabilizing Phase(Testing), Deploying Phase(Implementation). This study uses 31 students as sample and the data was analyzed using the SUS(System Usability Scale). The result show </span><span lang="EN-US">evaluates the usability using SUS of 31 respondents and it can be concluded that this AR application can be accepted by these students in its use with </span><span lang="EN-US">SUS Score obtained was 78.5</span>

Virtual Router Design and Modeling for Future Networks with QoS Guarantees

A virtual router model with a static and dynamic resource reconfiguration for future internet networking was developed. This technique allows us to create efficient virtual devices with optimal parameters (queue length, queue overflow management discipline, number of serving devices, mode of serving devices) to ensure the required level of quality of service (QoS). An analytical model of a network device with virtual routers is proposed. By means of the mentioned mathematical representation, it is possible to determine the main parameters of the virtual queue system, which are based on the first in, first out (FIFO) algorithm, in order to analyze the efficiency of network resources utilization, as well as to determine the parameters of QoS flows, for a given intensity of packets arrival at the input interface of the network element. In order to research the guaranteed level of QoS in future telecommunications networks, a simulation model of a packet router with resource virtualization was developed. This model will allow designers to choose the optimal parameters of network equipment for the organization of virtual routers, which, in contrast to the existing principle of service, will provide the necessary quality of service provision to end users in the future network. It is shown that the use of standard static network device virtualization technology is not able to fully provide a guaranteed level of QoS to all present flows in the network by the criterion of minimum delay. An approach for dynamic reconfiguration of network device resources for virtual routers has been proposed, which allows more flexible resource management at certain points in time depending on the input load. Based on the results of the study, it is shown that the dynamic virtualization of the network device provides a guaranteed level of QoS for all transmitted flows. Thus, the obtained results confirm the feasibility of using dynamic reconfiguration of network device resources to improve the quality of service for end users.

Ag2Se Nanowire Network as an Effective In-Materio Reservoir Computing Device

Modern applications of artificial intelligence (AI) are generally algorithmic in nature and implemented using either general-purpose or application-specific hardware systems that have high power requirements. In the present study, physical (in-materio) reservoir computing (RC) implemented in hardware was explored as an alternative to software-based AI. The device, made up of a random, highly interconnected network of nonlinear Ag2Se nanojunctions, demonstrated the requisite characteristics of an in-materio reservoir, including but not limited to nonlinear switching, memory, and higher harmonic generation. As a hardware reservoir, the devices successfully performed waveform generation tasks, where tasks conducted at elevated network temperatures were found to be more stable than those conducted at room temperature. Finally, a comparison of voice classification, with and without the network device, showed that classification performance increased in the presence of the network device.