Software Installation Research Articles

USING DIGITAL SOFTWARE TOOLS FOR ASSESSING STUDENT KNOWLEDGE (The Example of MyTextX Software)

This article analyzes the advantages and possibilities of using computer-based test software tools to assess students' knowledge in the education system. The MyTextX software is recommended for creating non-standard, interactive electronic tests. Additionally, the installation of the MyTextX software and the stages of preparing tests of various types are described in detail.

CodelessML: A Beginner's Web Application for Getting Started with Machine Learning

Building machine learning models requires intensive coding and installation of certain software. This is frequently a barrier for beginners learning about machine learning. To overcome this situation, we present CodelessML, a reproducible web-based application designed for Machine Learning beginners due to its coding-free and installation-free design, published under Code Ocean capsule. It provides a common workflow that eases the process of building Machine Learning models and using the model for predictions. Using the Agile method, CodelessML was successfully built using Python, Anaconda, and Streamlit It. By using CodelessML, users can get a walkthrough and interactive experience of building machine learning through a simplified machine learning process: exploratory data analytics (EDA), modelling, and prediction. The impact of the software was evaluated based on feedback from 79 respondents, which showed that based on a 5-scale Likert, CodelessML received average ratings of 4.4 in accessibility, 4.3 in content, and 4.4 in functionality. CodelessML serves as an accessible entry point for learning machine learning, offering online, free, and reproducible features.

Blockchain Security:"Botnets and Bitcoin Mining” - A Study on the Impacts and Countermeasures

Introduction: Botnets have become a significant threat to cybersecurity, as they can be used for a wide range of malicious activities, including Distributed Denial-of-Service (DDoS) attacks, spamming, and cryptocurrency mining. Bitcoin Mining, in particular, has become a lucrative target for cybercriminals, as it requires massive computing power and can generate significant profits. Method: In this paper, the author presents a study on a botnet that uses an HTA file to gain initial access and execute code on a victim's device, followed by the installation of mining software to infect the device and bitcoins. Result: The author analyzes the botnet's behaviour, including its evasion techniques and Bitcoin Mining activities, and discusses the implications of current findings for cybersecurity and Bitcoin Mining. Conclusion: Future research should also investigate the use of different command and control servers and other advanced attack frameworks in botnet operations and examine the potential connections between botnets and other cybercrime activities, such as ransomware and espionage.

Software installation threat detection based on attention mechanism and improved convolutional neural network in IOT platform

With of the Internet of Things (IoT) developing and the network technique progressing, malware attacks continue to occur, seriously endangering the information and property security of Internet of Things device users. To ensure the security of the Internet of Things platform and improve the efficiency of malware and vulnerability detection, a software installation threat detection model based on attention mechanism and improved convolutional neural network is constructed. Firstly, the enhanced dynamic symbolic execution module and forward program slicing algorithm are used to extract dynamic features, and then the improved convolutional neural network is utilized to classify malware. In the existing software of IoT devices, the inlining correlation function is studied using the inlining strategy, and the weight between the target pixel and the global pixel is calculated using the attention mechanism, through which the logic and correlation between the triples are correlated. Then, deep residual network is used to detect software vulnerabilities. This enables threat detection before and after software installation. In comparison with the current popular vulnerability detection model experiments, the accuracy, recall rate, accuracy rate and running time of the constructed model in the process of vulnerability detection are 0.975, 0.970, 0.968 and 0.02 s, respectively. Compared with other models, the research design model has better performance. This shows that this built model can effectively detect software installation threats, and has high detection accuracy and operation efficiency, which can provide strong support for the Internet of Things platform’s security protection.

SPACE TECHNOLOGIES AND DEVOPS: INTEGRATING POSITIONING AND TIMING SYSTEMS FOR RELIABLE SOFTWARE DEPLOYMENT IN AEROSPACE APPLICATIONS

The specific topic of investigation in this paper is the integration of PNT technologies into the DevOps paradigm for the aerospace domain with an emphasis on improved robustness and accuracy of software releases. The paper's goal is to show how PNT systems, especially GNSS and machine learning applied to time-series data, can solve several critical issues faced in software deployment in aerospace, whether using simulation reports and real-world case study examples, areas and ways in which the PNT-enabled DevOps pipeline may be employed may be highlighted. The fact that the timing and positioning investigations improve the accuracy of the deployment also reduces synchronization errors, as evidenced by the research. Through the preceding technologies, aerospace organizations will be able to elevate the reliability of software installations, hence positively contributing to the operational and safety aspects of aerospace and space missions. This integration indicates a significant advancement in what must be done to handle DevOps processes for the critical requirements of aerospace applications.

Reversal of the Word Sense Disambiguation Task Using a Deep Learning Model

Word sense disambiguation (WSD) remains a persistent challenge in the natural language processing (NLP) community. While various NLP packages exist, the Lesk algorithm in the NLTK library demonstrates suboptimal accuracy. In this research article, we propose an innovative methodology and an open-source framework that effectively addresses the challenges of WSD by optimizing memory usage without compromising accuracy. Our system seamlessly integrates WSD into NLP tasks, offering functionality similar to that provided by the NLTK library. However, we go beyond the existing approaches by introducing a novel idea related to WSD. Specifically, we leverage deep neural networks and consider the language patterns learned by these models as the new gold standard. This approach suggests modifying existing semantic dictionaries, such as WordNet, to align with these patterns. Empirical validation through a series of experiments confirmed the effectiveness of our proposed method, achieving state-of-the-art performance across multiple WSD datasets. Notably, our system does not require the installation of additional software beyond the well-known Python libraries. The classification model is saved in a readily usable text format, and the entire framework (model and data) is publicly available on GitHub for the NLP research community.

An Interactive Pedagogical Tool for Simulation of Controlled Rectifiers

Active learning approaches, incorporating student engagement through experimentation and problem solving, effectively foster higher-level thinking abilities and enhance academic performance. Interactive tools like simulators align with these methodologies, but commercially available simulators have limitations; particularly, their high cost and lack of customization features pose significant challenges for many educational institutions. This article presents CORES, a web-based educational application designed to simulate controlled rectifier circuits. CORES eliminates the need for intricate circuit assembly and software installation by providing pre-built circuits so that users can concentrate on analyzing circuit behavior by manipulating the thyristor firing angle and load characteristics, while the application generates output voltage and current waveforms under steady-state conditions, minimizing computation time. CORES has proven to be a valuable pedagogical tool, surpassing commercial simulators in terms of accessibility, ease of use, and enriched learning experiences for power electronics students and educators.

Enterprise cloud resource optimization and management based on cloud operations

The so-called automated operation and maintenance refers to a large number of repetitive tasks in daily IT operations (from simple daily checks, configuration changes and software installation to organizational scheduling of the entire change process) from manual execution in the past to standardized, streamlined and automated operations. This article delves into the realm of enterprise cloud resource optimization and management, leveraging automated operations (autoOps) as a fundamental strategy. As industries like banking witness exponential growth and innovation in IT systems, the complexity of managing resources escalates. Automated operations have emerged as a critical component, transitioning from manual interventions to encompass standardization, workflow optimization, and architectural enhancements. Through real-world deployments and theoretical frameworks, it elucidates effective strategies for optimizing and governing enterprise cloud resources, thereby enhancing efficiency, security, and resilience in IT operations.

Enterprise cloud resource optimization and management based on cloud operations

The so-called automated operation and maintenance refers to a large number of repetitive tasks in daily IT operations (from simple daily checks, configuration changes and software installation to organizational scheduling of the entire change process) from manual execution in the past to standardized, streamlined and automated operations. This article delves into the realm of enterprise cloud resource optimization and management, leveraging automated operations (autoOps) as a fundamental strategy. As industries like banking witness exponential growth and innovation in IT systems, the complexity of managing resources escalates. Automated operations have emerged as a critical component, transitioning from manual interventions to encompass standardization, workflow optimization, and architectural enhancements. Through real-world deployments and theoretical frameworks, it elucidates effective strategies for optimizing and governing enterprise cloud resources, thereby enhancing efficiency, security, and resilience in IT operations.

Internet fraud as one of the types of fraud

The article investigates the current aspects of internet fraud in the context of the coronavirus pandemic and the Russian-Ukrainian war. The increased use of the Internet during quarantine and wartime creates new opportunities for scammers, who exploit this situation to deceive people. Emotional instability, financial problems, and the spread of misinformation also contribute to the growth of fraud online. The article analyzes the legislative approach to combating fraud in Ukraine and identifies the specifics of this type of criminal offense. Due to the accessibility of the Internet, scammers quickly adapt their schemes to the digital environment, making network users more vulnerable. The explores the diversity of methods and types of internet fraud, including phishing, cryptocurrency fraud, social engineering, and other schemes. The authors provide data from the «Data Breach and Incident Response» (DBIR) report. Methods such as phishing, farming, fraud through social media and email, as well as manipulations with ICOs and crypto investment funds, are examined in detail. Special attention is paid to fraud in wartime, mentioning fundraising for military purposes, deceptive schemes with family announcements, and fake evacuation messages. The level of vulnerability of users, geographical features, and the age category most often targeted by internet fraud are evaluated. The article also discusses the aspect of computer equipment, mobile devices, and other means of accessing the Internet used by criminals to carry out fraudulent activities. The authors emphasize the prevalence of internet fraud, where perpetrators attempt to hack websites of government organizations, banks, or media to obtain confidential information or spread fake news. Measures to combat this phenomenon are proposed. Various types of internet fraud and methods of prevention are examined in detail, including software updates, installation of antivirus software, use of strong passwords, and two- factor authentication. It is noted that awareness and a responsible approach to protection on the Internet are key to preventing fraud. Additionally, the criminal liability for fraud in Ukraine and the possibility of strengthening this liability in wartime are discussed.

CYCLOPS: A cyclists’ orientation data acquisition system using RGB camera and inertial measurement units (IMU)

This paper introduces CYCLOPS, an acquisition system developed to capture images and inertial measurement data of moving cyclists from a vehicle. The development of CYCLOPS addresses the need to acquire useful data for training machine learning models capable of predicting the motion intentions of cyclists on urban roads. Considering its application, it is a completely original development. The system consists of two devices. The first device is installed on the bicycle and is based on an electronic acquisition board comprising an inertial measurement unit (IMU), a microcontroller, and a transceiver for sending the cyclist’s acceleration and orientation data to a vehicle. The second device is installed on the vehicle and uses the same board architecture to acquire the vehicle’s accelerations and orientations, along with an RGB monocular camera. The data is stored in real-time in a laptop’s drive for subsequent analysis and manipulation. The hardware architecture is presented in detail, including the designs to install the devices, for IMUs configuration, and software installation on the laptop. All design and software files required to develop the proposed system are available for download at: doi.org/10.17632/3yx5y8b7tm.1, licensed under the Open-source license CC BY 4.0.

Dockerized Application with Web Interface

Developing an application can be a task if any kind of conflict arises during deploying the code or while running them and it can be due to the storage or the code being not supported by the other party’s system. Thus to provide a solution for this matter, we are introducing the project concept of Dockerized application deployment through a web interface. This proposed project combines the efficiency of Docker containers with a web interface to create a platform for running and managing applications easily. When a programmer or a developer or anyone in the field of programming has conflict in uploading, running or deploying their application code from another programmer’s system to their own due to the inefficiency or lack of facilities in their system, they can use this web interface as a solution. Especially during the time of any rush, they can opt for this web interface as it does not require the installation of a local Docker software and any extra dependency management, as installation of Dockers are a bit time lagging. One of the main factors of this project is that this web interface can be run in any kind of computer system without any extra facilities being added to it. Whether the system is less efficient or high efficient regardless of the type of the system, this web interface is easy to access for the users. Users can upload their application code, build Docker images, and run them directly from the web interface. With the advantage of Docker’s utility methodologies for shipping, testing and deploying code, you can reduce the delay between writing codes and running applications .It has additional features like users can define environment variables for their applications, configure network settings for container communication ,mount persistent volumes to store application data with help of virtual cloud, implement user roles and permissions for secure access control .The front end of the web page is created using NEXT Programming Language meanwhile the backend is applied using NEXT, Docker and Python Flask API. About NEXT Programming Language that in this language, when the front-end is applied the backend function gets directly deployed making us use less effort in creating the webpage. It's a newly created advanced programming language. Overall, this Dockerized application deployment web-interface offers a user-friendly and efficient solution for developers, system administrators, and DevOps teams, streamlining the application development and deployment process.

Defeating Denial of Service Backdoor Attacks

Denial of Service (DoS) backdoor attacks are a significant threat to computer systems. Backdoor attacks involve the installation of unauthorized software on a target system, which is then used to launch various attacks against other systems. In this paper, we explore several techniques that can be used to defeat DoS backdoor attacks, including access control, encryption, network monitoring, patch management, incident response planning, and employee education. Denial of Service (DoS) and Backdoor attacks are common types of cyber-attacks that can cause severe damage to computer systems and networks. DoS attacks aim to disrupt the availability of a system by overwhelming it with traffic or exploiting vulnerabilities, while Backdoor attacks provide attackers with unauthorized access to a system. This paper proposes a framework for defeating both types of attacks by implementing security measures at multiple levels, including the application layer, network layer, and host layer. The proposed framework involves techniques such as traffic filtering, load balancing, network segmentation, access control, and anomaly detection. At the application layer, the framework proposes implementing security measures such as input validation, error handling, and resource allocation to prevent DoS attacks. At the network layer, the framework recommends deploying firewalls, routers, and intrusion detection systems to filter traffic and detect anomalies. At the host layer, the framework proposes implementing security measures such as operating system hardening, patch management, and antivirus software to prevent Backdoor attacks. The proposed framework aims to provide a comprehensive approach to defeating DoS and Backdoor attacks by combining multiple security measures to provide a layered defense. By implementing the proposed framework, organizations can enhance the security of their computer systems and networks and prevent these types of attacks from causing damage.

Application of Android-based Learning Media Applications for Primary Education

Today's learning media has improved considerably than ever before and English at this time is a very important need because English has become an International language. As a means of supporting these activities, cellular phones (cellphones) can be used where currently there are many people from various circles who own and use them. For this reason, researchers created an English learning media application for children based on multimedia and smartphones that is expected to support learning activities and be easy for children to understand. This application contains basic English materials, such as introduction to alphabets, families, numbers and others. This application is equipped with animated images and how to pronounce them in English as well as practice questions for learning the material. By using the Android platform, with this application, it is hoped that children can better understand material about English. The creation of this android-based English learning application uses Adobe Flash CS5 and Adobe Photoshop CS5 software to design application designs. The software used in the creation of this application is Android-SDK (Software Development Kit), JDK (Java Development Kit) installation package, Eclipse Indigo and this application is tested on Android emulators and some android smartphones.

Application of Android-based Learning Media Applications for Primary Education

Today's learning media has improved considerably than ever before and English at this time is a very important need because English has become an International language. As a means of supporting these activities, cellular phones (cellphones) can be used where currently there are many people from various circles who own and use them. For this reason, researchers created an English learning media application for children based on multimedia and smartphones that is expected to support learning activities and be easy for children to understand. This application contains basic English materials, such as introduction to alphabets, families, numbers and others. This application is equipped with animated images and how to pronounce them in English as well as practice questions for learning the material. By using the Android platform, with this application, it is hoped that children can better understand material about English. The creation of this android-based English learning application uses Adobe Flash CS5 and Adobe Photoshop CS5 software to design application designs. The software used in the creation of this application is Android-SDK (Software Development Kit), JDK (Java Development Kit) installation package, Eclipse Indigo and this application is tested on Android emulators and some android smartphones.

Diagnosis of package installation incompatibility via knowledge base

Python package installation is far from trivial. Users encounter a variety of errors when installing Python libraries, including dependency conflicts and incompatibilities. Existing solutions focus on parsing third-party dependencies but ignore the impact of local settings and user requirements. In this paper, we propose a novel approach, HELP, to help Python users tackle installation errors. We first establish a local knowledge base by extracting the PyPI database and dependency analysis. When the user provides the installation requirements, HELP extracts multiple constraints including user requirements, Python version constraints, and dependency constraints, and models them into SMT expressions. Then HELP solves the installation problem by using the SMT solver.To understand the status of Python version compatibility, we conduct an empirical study on Python version compatibility on 8,502 libraries. The study reveals that 80% of Python libraries do not declare Python version constraints in most versions. We also find that installation errors are strongly related to Python versions. To evaluate HELP, we conduct the experiment on 495 sampled installation failures. The results show that HELP can effectively resolve 263 installation failures, 42% more than the baseline approach. Especially, HELP provides a more comprehensive diagnosis when encountering configuration-related installation failures. Besides, HELP is more efficient than pip at predicting installation failures (30X speedups), which may save much effort if the installation cannot succeed.

Smartphone-Enabled Interaction on Large Displays—A Web-Technology-Based Approach

This paper proposes the design and implementation of a system for simultaneous communication of several users over a single display, such as large public displays or video walls. Motivated by the lack of software frameworks that are both free and suited for the desired level of complexity, we present a novel, out-of-the-box solution for collaborative and remotely controlled application use. The solution is based exclusively on web technologies, thus significantly facilitating usability and reach, and eliminating the need for additional software installations or the use of additional devices. The architecture of the developed solution is modular and comprises three main components: (1) the environment, (2) the remote controllable application (RCA), and (3) the controller. The environment serves as a central hub that manages the data flow and ensures synchronization between the user devices. The RCA, which runs on the large display, serves as the interface for interacting with the content, while the controller, which is loaded on the users’ smartphones, enables control and interaction with the RCA in real time. By using web sockets and a server–client architecture, the system supports device- and platform-independent remote control and centralized collaboration through an off-the-shelf communication framework entirely flexible regarding client application. In order to demonstrate the possibilities of the proposed system, several different scenarios were covered, and solutions were implemented and tested on a large display in the faculty lobby.

MONDEO-Tactics5G: Multistage botnet detection and tactics for 5G/6G networks

Mobile malware is a malicious code specifically designed to target mobile devices to perform multiple types of fraud. The number of attacks reported each day is increasing constantly and is causing an impact not only at the end-user level but also at the network operator level. Malware like FluBot contributes to identity theft and data loss but also enables remote Command & Control (C2) operations, which can instrument infected devices to conduct Distributed Denial of Service (DDoS) attacks. Current mobile device-installed solutions are not effective, as the end user can ignore security warnings or install malicious software. This article designs and evaluates MONDEO-Tactics5G - a multistage botnet detection mechanism that does not require software installation on end-user devices, together with tactics for 5G network operators to manage infected devices. We conducted an evaluation that demonstrates high accuracy in detecting FluBot malware, and in the different adaptation strategies to reduce the risk of DDoS while minimising the impact on the clients' satisfaction by avoiding disrupting established sessions.

Computational Analysis of B-Cell Receptor (BCR) Immune Repertoires with Abalign.

The widespread application of high-throughput sequencing technology has generated massive sequences of B-cell receptor (BCR) immune repertoires. Computational analysis of these data has gained significant attention due to the increasing importance of immunotherapy and precision medicine. It not only reveals the diversity and dynamic changes in immune responses, contributing to the study of associated diseases, but also provides valuable information for immunodiagnostics and drug development. Recently, we introduced a BCR-specific multiple sequence alignment (MSA) method along with a comprehensive platform software called Abalign, which stands out as an excellent choice for analyzing BCR immune repertoires due to its unique high-throughput processing capability. It offers ultra-fast MSA functionality and a wide range of analytical features, including BCR/antibody extraction, clonal grouping, lineage tree construction, mutation profiling, diversity statistics, VJ gene assignment, antibody humanization, and more. Importantly, users can perform these analyses using the graphical user interface without any programming skills or scripts. In this article, we present a series of protocols that integrate Abalign's analysis modules into a cohesive workflow. This step-by-step workflow provides detailed instructions for software installation, data preparation, and comprehensive analysis of BCR immune repertoires. This workflow facilitates the efficient acquisition of comprehensive results in profiling BCR immune repertoires, offering insights into the impacts of infectious diseases, allergies, autoimmune disorders, tumor immunology, and antibody drugs. Abalign is freely available at http://cao.labshare.cn/abalign/. © 2024 Wiley Periodicals LLC. Basic Protocol 1: Resource preparation Basic Protocol 2: Analyzing BCR immune repertoires Support Protocol 1: Aiding antibody humanization Support Protocol 2: Constructing B-cell lineage trees Alternate Protocol: Running with Linux command line Basic Protocol 3: Comparing BCR immune repertoires.

Digital Transformation and Digital Competences of Urban and Rural Polish Youths

This article explores the level of digital competence of young people in Poland, with the indirect aim being to show the differences in the level of digital competence for adolescents living in rural and urban areas. The research covered a sample of 985 respondents, from 11–18 years old, from Poland. The research was carried out within the EU Kids Online network. The survey tool related to the assessment of digital competences covered issues of installation of software on mobile devices, configuration of internet access as pertains to confidential information, information security awareness, management of information downloaded from the internet, configuration of social networks, e-shopping, verification of costs related to the use of additional software, advanced information search, checking the reliability of information, and editing online content. Descriptive statistics, k-means cluster analysis, one-way analysis of variance (non-parametric test), and correlations were used to show the differences between rural and urban adolescents in the indicated areas. The collected data offer several postulates for education and education policy, being not only diagnostic but also implementational. Based on the analysis of the data, it was noted that: (a) Eleven areas related to basic digital competence strongly differentiate between urban and rural young people; (b) rural young people rate their own digital competence lower than urban young people do; (c) a small percentage of young people from both rural and urban areas have low digital competence; (d) one well-developed area of key competence does not always co-occur with another well-developed area; and (e) the style of using new media among rural and urban young people is similar.