Asian Journal of Research in Computer Science
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792 research outputs found
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E-commerce Website Performance Evaluation: Technology, Strategy and Metrics
No full textCustomers can shop conveniently online with the help of the Cooperative Store Management System, an e-commerce web application, without having to go to the store in person. This technology seeks to lessen the effort of sales staff and eliminate the possibility of manual errors by automating data entry operations. Customers can save costs dramatically and gain valuable time by using this method. In addition, clients may take advantage of increased convenience and better service quality because to the fact that these services are available from the comfort of their homes, which promotes customer retention and draws in new customers. Work has unraveled the intricacies of web development process, shedding light on the challenges faced and the inventive solutions devised. From the complexities of user interface (UI) and user experience (UX) design to the thoughtful analysis of essential qualities for our online store, every facet has been meticulously examined to ensure that the platform prioritizes user involvement, seamless navigation, and efficient communication channels. A detailed study is done to analyse the drawbacks of using marketplaces instead of self-owned sites for small scale business. This work shed light on the processes that went into the creation of a website. Additionally, it provides a thorough analysis of the architecture, Technology, and system\u27s functionality. Facebook News Feed that uses React for dynamic contents, react.js allows for efficient updates to the news feed in real-time without having to reload the entire page. while in LinkedIn Mobile its mobile app uses AngularJS for front-end development. Very limited amount of research work done till date explores the issue of web strategy in web site evaluation, and none includes web strategy in their evaluation frameworks. Citing above problem, a strategic framework was adopted to ensure consistency and provide an efficient solution. AngularJS provides a structured framework for building dynamic and responsive user interfaces. For the use case - MERN Stack website, the Largest Contentful Paint comes as 3.8 sec, First Input Delay comes as 20 milli-sec and cumulative layout shifts come with no delay. These scores provide suggestions for improving various aspects of performance, such as optimizing images, leveraging browser caching, and minimizing render-blocking resources
A Logistic Regression-based Model for Identifying Credit Card Fraudulent Transactions
No full textThe rapid evolution of technology has significantly transformed payment methods, with a notable shift towards online platforms. However, this transition has also witnessed a concurrent increase in fraudulent activities, particularly within online credit card transactions. In response to the escalating occurrences of fraudulent online credit card transactions, this study proposes the development of a robust fraud detection model utilizing machine learning algorithms implemented in Python. Leveraging credit card transaction data sourced from Kaggle, the research utilizes Logistic Regression for both training and testing datasets to identify fraudulent transactions. The efficacy of the model is evaluated using separate test data, resulting in an impressive accuracy rate of 99.87% in detecting previously unseen fraudulent transactions. Further scrutiny of the test data reaffirms this high accuracy, registering a similar rate of 99.8%, thus underscoring the model\u27s adeptness in handling novel data instances. The findings are succinctly represented visually, elucidating the model\u27s efficacy in bolstering online transaction security. By amalgamating advanced machine learning techniques with Python programming, this research contributes to the ongoing efforts aimed at enhancing security measures surrounding online credit card transactions by identifying legit and fraudulent transactions. Such endeavors are paramount in mitigating the adverse impacts of fraudulent activities on both financial stakeholders and consumers
An Overview of Iot Architecture Security Issues and Countermeasures
No full textThe Internet of Things (IoT) has revolutionized the way we interact with our surroundings. As the number of IoT devices continues to increase, along with limited resources and diverse technologies, the risk of security attacks increases. Therefore, it is important to integrate security measures throughout the development process and system architecture. However, it is crucial to continually assess and update security measures to avoid emerging threats and ensure the confidentiality, integrity, and availability of IoT systems. This study aims to explore security issues in the IoT, highlighting the associated challenges. It examines various threats, attacks, and vulnerabilities that arise within a three-layer architecture and discusses potential solutions to enhance security in each layer. By addressing these concerns, it is possible to establish a secure and reliable foundation for expanding IoT systems
Machine Learning-enabled Smart Sensors for Real-time Industrial Monitoring: Revolutionizing Predictive Analytics and Decision-making in Diverse Sector
No full textThis study investigates the integration of machine learning (ML) algorithms with smart sensor technologies across manufacturing, energy, and healthcare sectors, focusing on their impact on real-time industrial monitoring, predictive maintenance, and operational efficiency. By utilizing data from the UCI Machine Learning Repository and Kaggle, this research measures the effectiveness of ML-enabled sensors in reducing machine downtime and enhancing fault detection. Time series analysis and regression modeling reveal that sensor integration leads to a significant 5.5% improvement in machine uptime, raising average uptime from 91.5% to 97%, thus validating the role of predictive maintenance. Cost-benefit analysis further highlights that the energy sector achieves the highest financial returns, with a 33.3% ROI and a positive Net Present Value (NPV) over five years, demonstrating substantial cost savings relative to initial investment. Findings underscore the importance of sensor infrastructure compatibility, emphasizing the need for adaptable frameworks such as edge computing and digital twin technology to ensure efficient integration with legacy systems. Recommendations include industry-wide adoption strategies that leverage these technologies to optimize predictive maintenance and maximize sector-specific financial returns
CI/CD and Automation in DevOps Engineering
No full textThe article examines the principles and best practices of implementing Continuous Integration and Continuous Deployment (CI/CD) within DevOps engineering. It explores how CI/CD pipelines, automated testing, version control, and deployment processes can accelerate software development and improve product quality. The manuscript analyzes key tools such as Jenkins, GitLab, and Travis CI, and discusses critical security measures for safeguarding code and infrastructure. By integrating CI/CD into DevOps workflows, teams can enhance efficiency, reduce time to market, and minimize errors, all while ensuring a scalable and secure development process
The Role of Artificial Intelligence (AI) in Enhancing Cybersecurity for Educational Technologies in US Public Schools
No full textThis study investigates the role of Artificial Intelligence (AI) in enhancing cybersecurity for U.S. public schools, with the primary objective of evaluating AI\u27s effectiveness in reducing cyber threats and safeguarding student privacy. Specifically, the study assesses AI-driven security systems such as threat detection and anomaly detection algorithms, which help schools monitor network traffic and identify potential breaches in real-time. Using logistic regression on data from the K-12 Cybersecurity Resource Center, findings reveal that schools implementing AI solutions are 75% less likely to experience cyber breaches (p < 0.001), highlighting AI\u27s protective impact. Furthermore, a comparative analysis of FERPA and COPPA compliance reports highlights a substantial reduction in privacy violations among AI-using schools, with an average of 0.57 violations per school, compared to 1.50 in schools without AI. A K-means cluster analysis identified budget constraints (65.75%) and IT staff shortages (55.25%) as primary barriers to AI adoption. To address these obstacles, the study recommends phased technology upgrades and increased funding for workforce training as critical strategies to facilitate AI integration and enhance cybersecurity across educational institutions. These strategic interventions are essential for optimizing the effectiveness of AI-driven security systems, making it feasible for resource-constrained schools to adopt and maintain advanced cybersecurity measures. The study’s findings contribute to the growing body of knowledge on educational cybersecurity and provide actionable insights for policymakers and administrators seeking to strengthen data protection and privacy in school environments
Enhancing Resilience: Smart Grid Cybersecurity and Fault Diagnosis Strategies
No full textThe increasing integration of advanced technologies within the power grid infrastructure has led to significant advancements in efficiency, reliability, and sustainability. However, this integration also introduces new vulnerabilities, particularly in the realm of cybersecurity. This paper presents an overview of smart grid cybersecurity challenges and proposes strategies for enhancing resilience through fault diagnosis techniques. Firstly, the paper examines the evolving threat landscape facing smart grids, encompassing cyber-attacks, insider threats, and natural disasters. It highlights the critical need for robust cybersecurity measures to safeguard grid operations and prevent potentially catastrophic disruptions. Next, the paper delves into various cybersecurity frameworks and standards tailored specifically for smart grids, emphasizing the importance of comprehensive risk assessment, intrusion detection systems, and secure communication protocols. Additionally, it discusses the role of machine learning and artificial intelligence in augmenting cyber defense capabilities, enabling proactive threat detection and rapid response. Furthermore, the paper explores fault diagnosis strategies aimed at maintaining grid resilience in the face of cyber incidents or physical faults. It discusses the integration of data analytics, predictive modeling, and real-time monitoring to identify and mitigate potential grid disturbances swiftly
Cybersecurity Considerations for Smart Bangladesh: Challenges and Solutions
No full textCybersecurity stands as a cornerstone for safeguarding the integrity, security, and prosperity of a nation in the digital era. It involves a multifaceted approach to protect interconnected digital systems, critical infrastructure, and sensitive data. In the context of a smart nation, where interconnected devices, sensors, and systems are integrated to enhance efficiency and quality of life, cybersecurity becomes even more crucial. As Bangladesh progresses towards its vision of becoming a Smart Nation, characterized by extensive integration of digital technologies into various sectors, cybersecurity emerges as a critical concern. The rapid digitization of infrastructure and services, driven by initiatives such as smart cities, e-governance, and digital healthcare, introduces new vulnerabilities and threats that must be addressed to safeguard against cyber-attacks and protect sensitive data. This paper explores the cybersecurity landscape of Bangladesh in the context of its Smart Nation aspirations, identifying key challenges and proposing solutions to mitigate risks. The cybersecurity challenges facing Smart Bangladesh initiatives are multifaceted and include inadequate cybersecurity policies, limited awareness and education, insufficient investment in cybersecurity infrastructure, and the proliferation of Internet of Things (IoT) devices with inherent vulnerabilities. These challenges expose smart systems to a range of threats, including malware and ransomware attacks, data breaches, insider threats, Distributed Denial of Service (DDoS) attacks, and IoT vulnerabilities. To address these challenges, stakeholders must adopt a proactive and multi-layered approach to cybersecurity. Recommendations include the development of comprehensive cybersecurity policies, enhanced public awareness and education campaigns, investment in cybersecurity infrastructure, implementation of secure-by-design principles in smart infrastructure development, and fostering public-private partnerships to share threat intelligence and resources. By prioritizing cybersecurity considerations and implementing robust cybersecurity measures, Bangladesh can build a resilient and secure digital ecosystem that supports its Smart Nation goals. However, addressing cybersecurity challenges requires coordinated efforts from government agencies, private sector organizations, academia, and civil society to create a cyber-resilient environment conducive to sustainable development and innovation. The author found this area of utmost interest and decided to delve deep into the aspects related to cybersecurity, in order to develop a well-designed journey towards a digitally transformed Bangladesh
Robustness and Reliability Testing in Healthcare Using Artificial Intelligence
No full textTesting the security, efficiency, and dependability of AI-driven healthcare systems is crucial. It is essential to perform thorough and rigorous testing to make sure the AI algorithms are capable. Our goal is to ensure that these algorithms can handle a wide range of scenarios that may occur in healthcare settings. We must observe, for instance, how well they function in the presence of changes in patient characteristics, data accuracy, and even environmental factors. Developers are able to go deeply and find any potential flaws, biases, or restrictions by thoroughly testing AI models. This enables them to enhance and maximize the algorithms\u27 performance. Our goal is for these AI systems to be adaptable and strong, ready to overcome any challenges. Our goal is for these AI systems to be adaptable and robust, ready to overcome whatever challenges they encounter. Reliability testing is another crucial step in this process. Our goal is to guarantee that, over time, the AI predictions in actual medical contexts continue to be accurate and dependable. In the end, we rely on these systems to produce trustworthy outcomes that actually enhance patient care. Developers and healthcare institutions are not the only parties involved in this. Policymakers and regulatory bodies are also quite important. They put a lot of effort into developing standards and protocols for carrying out trustworthy and demanding AI testing in the medical field. Strict safety and efficacy standards are met by AI-driven healthcare solutions thanks to the requirements they set for testing procedures, data quality, and performance indicators. This article focuses on all the current robustness and reliability testing using AI in Healthcare
The Impact of Technology Use on Young People: A Case Study of Social Media and Internet Usage
No full textThis study delves into the impact of the increased use of electronic appliances on the younger generation, particularly focusing on the risks of addiction and mental health issues. The main objectives are to explore the correlation between technology usage and psychological problems among individuals born after 2000, and to assess the influence of educational interventions and parental controls in moderating these effects. Using a mixed-methods approach, data were collected in line with the findings of the report by GSMA, DOCOMO, and Net Children Go Mobile (2014), which includes data from European countries such as Belgium, Denmark, Ireland, Italy, Portugal, Romania, and the UK. The results indicate a strong association between excessive screen time and elevated rates of depression, detachment from reality, and trauma among youth.
Furthermore, the study highlights the necessity for educational institutions to incorporate digital literacy modules into their curricula, which would help students navigate the digital world more responsibly.
Encouraging physical activities and face-to-face social interactions is also recommended to counterbalance the extensive use of screens. Policymakers are urged to develop frameworks that protect young individuals from the adverse effects of prolonged technology exposure, including regulations on screen time, content appropriateness, and online privacy protections.
These recommendations aim to optimize the benefits of technology while minimizing its negative impacts on the younger generation, thus fulfilling the study\u27s objectives and providing a basis for future policy and educational strategies