Cloud-native architectures built on microservices, containers, and orchestration platforms dramatically accelerate software delivery while expanding the attack surface available to adversaries. Traditional, perimeter-centric security models are structurally inadequate for these environments. This paper makes three contributions: (i) a systematic analysis of cloud-native security threats mapped to SDLC phases; (ii) a comparative evaluation of ethical hacking […]
Vol. 12 (4) 2026
AI-driven alternative credit scoring has expanded financial access for underserved Small and Medium Enterprises (SMEs), yet simultaneously risks amplifying structural inequalities through algorithmic bias embedded in training data, proxy variables, and model architecture. This paper makes three contributions: (i) a cross-national comparative analysis of alternative credit scoring ecosystems in India and the United States, mapping […]
This study explores the major security challenges in cloud computing and the protection mechanisms used to safeguard cloud data. Techniques such as encryption, access control mechanisms, multi-factor authentication, intrusion detection systems, and continuous monitoring tools play critical roles in maintaining security. Applying effective protection strategies helps ensure the confidentiality, integrity, and availability of data stored […]
Cloud computing has ushered in a major shift in how we think about IT infrastructure, fundamentally changing how organizations approach the deployment and upkeep of computing resources. At its heart, cloud computing is about delivering computing services — things like servers, storage, databases, networking, software, analytics, and even intelligence over the internet, and only charging […]
This study investigates the technical trust and interface control factors that currently impede the adoption of emerging generative technologies among three-dimensional (3D) design professionals. Employing a mixed-methods methodology, the research evaluated usability friction and AI topology confidence across a cohort of 16 participants, comprising both students and senior industry practitioners. Quantitative analysis reveals that 56% […]
Traditional e-commerce platforms rely heavily on manual filters and keyword-based searches to help users find products. This research proposes an autonomous Agentic AI framework that improves user experience through intelligent navigation of product catalogs. By integrating Llama-3.3-70B, Groq LPU inference, and the ReAct framework, the system interprets complex user queries and automatically generates search parameters […]
The gaming industry has become one of the fastest-growing sectors in the global digital economy. Over the past decade, rapid technological advancements, improved internet connectivity, and the widespread use of smartphones have transformed the way people engage with entertainment. Among all platforms, mobile gaming has emerged as the most dominant due to its accessibility, affordability, […]
The findings indicate that AI-based learning platforms contribute to improved student retention by adjusting lesson content according to learners’ performance and progress. However, the study also highlights the existence of a digital divide, as students without reliable internet access or suitable digital devices face difficulties in fully benefiting from AI-driven educational systems. Teachers reported a […]
Phishing attacks have become one of the most common and damaging cyber security threats in today’s digital environment. This study aims to examine the nature of phishing attacks, identify commonly used phishing techniques, and analyze effective prevention methods to reduce cyber risks. The research follows a descriptive approach and uses both primary and secondary data […]
Student stress has become a growing concern in modern educational environments due to increasing academic expectations, competitive examinations, and lifestyle changes. Students often experience pressure from academic workload, exam anxiety, irregular sleep patterns, and limited physical activity, which can increase stress levels. This study analyzes the key factors affecting student stress using graphical and comparative […]
Global data centers consume approximately 200–250 terawatt-hours (TWh) of electricity annually, representing about 1–1.5% of global energy demand and 0.3% of worldwide carbon dioxide (CO₂) emissions. With artificial intelligence (AI) workloads expected to double energy consumption by 2026, improving the sustainability of cloud infrastructure has become critical. Existing resource allocation mechanisms remain inefficient, with average […]
This paper examines the relative merits of First-Come-First-Served request queueing for embedded web servers as opposed to the use of a priority order queue which may deem some requests to have higher priority than others and queue accordingly. After building each type of server using Node.js and Express (the priority server assigned a priority value […]
Phishing attacks remain among the most persistent and disruptive cybersecurity threats in the digital era, continually evolving despite advances in security technologies and increasing user awareness. Unlike conventional cyberattacks that exploit technical vulnerabilities, phishing uniquely targets human behavior and cognitive biases, making it particularly difficult to counter through technical controls alone. This research presents a […]
The rapid proliferation of digital infrastructure has made cybersecurity one of the most critical domains in modern computing. As cyber threats grow in frequency, sophistication, and scale, traditional rule-based and signature-driven security systems are increasingly inadequate. This paper investigates the dual role of Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) in modern […]
Artificial Intelligence is improving very quickly and it has made it possible to create highly realistic fake videos, images, and audio recordings. This type of manipulated media is known as deepfake technology. Deepfakes are created using machine learning models that can copy a person's face, voice, and expressions. Because of this, it can become very […]
The integration of artificial intelligence (AI) into healthcare is transforming medical diagnosis and patient consultation. This survey examines advances in automated diagnostic systems that combine natural language processing, machine learning, and data extraction to interpret clinical records and support evidence-based decision-making. Key technologies include text recognition for digitizing handwritten and scanned records, large-scale language models […]
In the modern healthcare landscape, telemedicine and digital health have emerged as transformative forces, reshaping how medical services are accessed, delivered, and managed. Telemedicine enables remote consultations, diagnosis, treatment, and monitoring through digital platforms, driven by advancements in information technology and the global need for accessible healthcare, especially after the COVID-19 pandemic. Digital health further […]
Machine learning has become an important component of modern cybersecurity systems due to its ability to analyse large volumes of security data and detect complex attack patterns. As cyber threats continue to evolve, many organizations have adopted learning-based intrusion detection and threat monitoring solutions. Despite strong performance reported in academic evaluations, machine learning–based security systems […]
Human societies and natural ecosystems both undergo long-term transformations shaped by internal dynamics, adaptations, and structural changes. This study presents a comparative analysis of Marxist social development and ecological succession as parallel frameworks for understanding evolutionary processes in social and natural systems. Marxist theory explains societal progression through stages driven by contradictions between productive forces […]
Forests play a crucial role in the global carbon cycle by absorbing atmospheric carbon dioxide through photosynthesis and storing carbon stock in their biomass and soil. However, this capacity of our forest is increasingly threatened by invasions caused by microbes like fungi, bacteria, viruses, nematodes, and insect pests, alongside abiotic stressors such as drought and […]
CryptoPay is a web-based cryptocurrency payment and ticketing platform designed to provide secure, transparent, and efficient digital transactions using blockchain principles. The system integrates wallet management, QR-code payments, transaction validation, and automated ticket issuance within a unified architecture. A prototype was developed using HTML, CSS, JavaScript, Python Flask, and MySQL. User perception was evaluated through […]
Three-dimensional (3D) printing, also known as additive manufacturing (AM), has emerged as one of the most transformative technologies in modern manufacturing and materials engineering. Unlike conventional subtractive manufacturing processes, 3D printing builds objects layer by layer directly from digital models, enabling complex geometries, reduced material waste, and rapid prototyping. The advancement of 3D printing technologies […]
The present study investigated the antimicrobial efficacy of seed and leaf extracts of Clitoria ternatea against the bacterial pathogen Escherichia coli. Extracts were tested at five concentration levels (20%, 40%, 60%, 80%, and 100%) along with a control treatment to evaluate antibacterial activity. The inhibitory effect was assessed using the agar well diffusion method, and […]
This study investigated the prevalence and impact of waterborne diseases (WBDs) in and adjoining areas of Balurghat, Dakshin Dinajpur, West Bengal, India. A survey of 180 respondents across 10 study sites in urban and rural areas was conducted using observational studies, household surveys, and hospital record reviews. The most common WBDs identified were diarrhoea, dysentery, […]