International Journal of Scientific Research in Network Security and Communication
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Interactive Learning with a Digital Library Education in Science, Technology, and Engineering
Get PDFNumerous extensive initiatives to create digital libraries have been spurred by the requirement for information systems to facilitate the distribution and reprocess of educational materials. Ideas like online learning are currently being applied to teaching and learning in education more often. But when it comes to adopting new technology techniques, STEM education is still lagging behind because of the nature of the subject matter. This discrepancy can be attributed to the fact that these areas frequently need laboratory exercises in order to effectively teach skills and offer practical experience. Making these laboratories available online is sometimes challenging. It is necessary to either reproduce the real lab as a totally software-based virtual lab or permit remote access to the real lab. New and developing technologies are presently being developed that can get around some of the possible challenges in this field. These comprise virtual worlds, computational dynamics, augmented reality, and computer graphics. The state of the art in virtual labs and virtual environments for science, technology, and engineering is compiled in this article. Therefore, many of the same learning processes may be observed in the usage of virtual labs for other scientific and non-robotic engineering purposes. This can involve encouraging the introduction of new ideas as part of studying science and technology, as well as the introduction of more general engineering knowledge. It can also involve encouraging more positive and cooperative training and education activities in the context of a more complex engineering subject, like robotics
4G Mobile Network Planning in Seiyun City to Upgrade the Existed Networks
Get PDFThis paper presents the results of a research effort on the present and future of the current government cellular communications network in the city of Seiyun in terms of coverage, signal strength, and service provided. In recent times, Seiyun city has experienced an increase in population, a reduction in network coverage, and insufficient capacity from corporate stations to service certain areas. Many 4G stations have been planned and established in Seiyun as a result of the growing demand for mobile data consumption brought on by new applications like video chats, live streaming of sporting events, faster online browsing, and other heavily streamed material. The goal of the fourth generation of radio technologies, or 4G, is to increase speed and capacity. It can handle broader channels up to 20 MHz, shorter transmission times, and better wireless access technologies. For this research, we have designed a 4G network that will be established over the course of the next ten years, and even beyond. Furthermore, this research has involved comparing the signal levels and throughput values of our network, which covers the entire city of Seiyun, with current networks.
 
A Review on Harmonizing Psychological Factors into Cyber Space
Get PDFThe rapidly evolving digital environment has changed how people think, communicate, and behave, calling for an interdisciplinary understanding of how people interact with machines. This manuscript investigates the newly-emerging discipline of cyberpsychology, which combines sociology, technology, and psychology to study how individuals interact with the digital environment. The review follows the evolution of cyberpsychology through time, starting in the early days of the internet and ending in the present day with digital mental health interventions and widespread connectedness. The "digital modulation hypothesis," which contends that fundamental human abilities like emotional acuity, empathy, and impulse control continue to exist online but are expressed adaptively within the constraints and affordances of virtual environments, is the main thesis. The literature on subjects like moral reasoning, self-regulation in digital environments, and cyber-disinhibition is critically analysed in this work. It also emphasises how they interact. It also discusses issues like risk perception, emotional resilience, and algorithmic bias, highlighting the interaction between psychology and cybersecurity. The analysis concludes by outlining potential future paths for cyberpsychology, including the influence of new technologies, the development of digital health, and the moral use of behavioural data in cybersecurity.
 
Design and Analysis the Radar Cross Section of Complex Targets for Military and Civilian Applications
Get PDFIn aerospace industry, the importance of RCS in the aerospace industry. State the purpose of the comparative study and analysis of various geometries contributing to RCS prediction. Analyze how changes in frequency affect RCS and discuss the relationship between radar range and RCS. MATLAB to create models of different geometries. Outline the parameters studied (e.g., frequency of operations, radar range) and the tools used for simulation (e.g., MATLAB). This research paper describe design features that minimize RCS (e.g., absorbent paint, smooth surfaces) and list and describe the different geometries analyzed in the study. The software tools used (e.g., MATLAB, commercial RCS simulation software). Use MATLAB’s plotting functions to visualize the results and analyze the variation of RCS and visual aids to demonstrate the variation of RCS with different parameters.
 
Exploration of Blockchain Technology for Enhanced Data Security in Small and Medium Enterprises
Get PDFSmall and Medium Enterprises (SMEs) constitute a significant portion of the global business landscape, yet they often face challenges in fortifying their data security infrastructure. This research paper investigates the integration of blockchain technology to enhance data security in Small and Medium Enterprises (SMEs). SMEs, often constrained by limited resources, face significant challenges in securing sensitive information. The study assesses the current data security landscape in SMEs, identifying vulnerabilities and exploring the potential of blockchain as a robust solution. Emphasizing decentralization and tamper resistance, the paper highlights how blockchain can fortify data security, offering benefits such as improved integrity and transparent audit trails. Practical considerations, including integration challenges and user adoption, are addressed, providing actionable insights for SMEs seeking to fortify their data security through blockchain implementation. The research contributes to the evolving discourse on cybersecurity in SMEs, offering a foundation for practical applications in blockchain technology for enhanced data protection.
 
HeathDetect7: Multiple Disease Identification Using Machine Learning
Get PDFNumerous machine learning models in healthcare focus on single disease detection, yet there`s a growing need for systems that predict multiple diseases using a unified interface. This research addresses this gap by leveraging machine learning techniques to analyse diverse medical datasets and provide personalized risk assessments for diseases such as COVID-19, brain tumours, breast cancer, heart disease, diabetes, Alzheimer`s, and pneumonia. These diseases are causing many deaths globally, often due to the lack of timely check-ups and medical interventions. This problem is intensified by inadequate medical infrastructure and a low ratio of doctors to the population. By incorporating medical imaging data and clinical parameters, this study offers a comprehensive approach to disease identification, enabling early intervention and improved health outcomes. The project`s user-friendly interface allows individuals to input their medical information easily and receive timely assessments. Various classification algorithms, such as Random Forest, eXtreme Gradient Boosting (XGBoost), Convolutional Neural Networks (CNN), and Visual Geometry Group-16 (VGG-16), are explored to achieve accurate disease prediction. The ultimate goal is to create a web application that leverages machine learning to forecast several diseases, contributing to proactive healthcare management, and empowering individuals to monitor their health proactively and make informed decisions about their well-being.
 
Protection of Research Data and Devices from Malware Attacks Using Endpoint Security System in Network
Get PDFIn ealier era, computer were used by limited organizations with limited Internet accessibility therefore data and device security were not big issue. Gradulay, uses of computer increased exponentialy therefore day-by-day it posing new data security challenges. As the uses of Intrenet increases, the challenges of critical data security also increased. Every 39 second, one cyber attack is occurring and thousands website hacked daily. Every establishment uses the computational devices with Internet for running and expnading their business. The computational devices are generting huge volume of data which is very sensitive and essenatial to run the organization. All the devices which are connected in open network are prone to attack by harmful viruses. In this hyper-connected world, protecting the devices and data from loss and unauthorized access are big challenge. The Process of protecting the data from destructive threats, unauthorised access and data corruption is known as data security. In past, the Antivirus software on individual desktop computer were sufficient to protect the device but for various network devices, which are connected in Local Area Network (LAN) is required integrated centralized solution along with management tools. Many antivirus tools sometime failed to detect the advance thretas due to that risk of vulnerability and data lost may increased. End point securiy is an process to protect the all devices which is connected in network. As the Internet uses grown, the types of the threats and techniques changed due to that these Antivirus tools could not prove full efficient to protect the sesitive data. The antivirus software can be used for individual machine but in organization Network, dedicated Endpoint Security System (EPS) is necessary for quickly detecting the malware and common security threats in advance. The EPS runs on organization security policy. In this paper we are discussing about the implementation of Endpoint Security system for protecting computational devices and protecting the scientific and bussiness data at CWPRS Local Area Network (CLAN). The Endpoint Security System has been successfully implemented for protecting the scientific data and devices from external possible thretas
A Deep Learning Based Deepfake AI (Images & Videos) Detection Tool
Get PDFLenscan.ai represents a pivotal advancement in countering the rising threat posed by deepfake technology. This state-of-the-art AI tool integrates sophisticated computer vision and audio analysis algorithms to detect anomalies that signal deepfake manipulation in digital media. By scrutinizing visual indicators such as facial expressions and lip movements, coupled with auditory features like voice characteristics, Lenscan.ai employs a comprehensive, multi-modal approach to accurately identify falsified content. Its versatility extends across diverse media formats and platforms, playing a crucial role in mitigating risks across journalism, entertainment, and national security sectors. As deepfake methods become increasingly sophisticated, Lenscan.ai continues to evolve, ensuring it remains at the forefront of safeguarding the integrity and reliability of digital content. By doing so, it addresses the urgent need to combat misinformation, thereby preserving trust in the digital landscape and upholding the authenticity of information shared globally.
 
Measures of Effectiveness for E learning of University Students During the Covid-19 Pandemic Using the Statistical Model
Get PDFE-learning considers the best solution for continuing education during the COVID-19 pandemic, especially in tertiary education. The present study aims to analyze and the evaluation efficacy of learning in an e-learning system measures to improve the technical skills among dental and medical undergraduate students during Covid-19 outbreak. One thousand five-hundred students were assigned for this study and the answers for the given questionnaire were collected. The rate of response was 96.86% among respondents who use module and classroom tools, techniques, or platforms. The statistical model was applied to the analysis of the questionnaire. Principle component analysis techniques were used to determine the variables` efficacy on the E-learning model. The reliability of the associated components was measured using ( Cronbach’s ? ) test gives 0.801. The findings of this study that medical education skills have been slightly affected by the use of e-learning during the COVID-19 pandemic. Therefore, the idea E-learning entails Familiarity with the technology; Usability, Learned skills, and Competency; Quick Responsiveness; Learning Quality of the learner; Time and Cost; Faster Learning; Information quality; and Knowledge sharing.
 
A Survey of Linux Operating System as an Alternative to Other Operating Systems
Get PDFLinux is an operating system for Intel 386/456/Pentium-based IBM PCs and is congenial. A worldwide group of enthusiastic volunteers has joined forces in developing many aspects of Linux on the INTERNET. Linux can run the powerful set of compilers and programming tools of free software foundation and X-free 86, a port of the X Windows system from MIT. One useful feature of Linux is its ability to coexist with other operating systems. Thus, a user invested in DOS/MS Windows software may continue running these applications on the machine and install them. Our scope for review of this paper is to study and review the Linux Operating system and its various features and functions such as History and Development, the Linux Kernel, Processes Scheduling in the Linux Operating System, Memory Management, I/O operations, networking and how it is done in the Linux OS.