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34 articles for “Fraudulence”
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Enhancing Credit Card Fraud Detection Using Device Fingerprinting and Behavioral Biometrics
Abstract: Credit card fraud is a growing global concern, with financial losses projected to reach $ 43.47 billion by 2028. Credit card fraud poses a major challenge in the financial industry, resulting in substantial financial losses and security risks. This research introduces a Machine Learning-based Credit Card Fraud Detection System designed to improve the accuracy of fraud identification. Due to the imbalanced nature of fraud datasets, SMOTE (Synthetic Minority Over-sampling Technique) …
Published in Journal Of Network security · Vol. 13, Issue 2, 2025 · pp. 40–50 Read article
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Review JoEDT N58 Open CPU-Based Milk Collection System
Abstract: The N58 Open CPU-based milk collection system is designed to enhance the efficiency and transparency of milk collection processes in rural and urban dairy operations. By integrating a computerized platform with open-source technology (Open CPU), the system enables real-time monitoring, automatic data logging, and streamlined milk collection from multiple sources. The system allows farmers to register and track their milk deliveries, monitor milk parameters such as fat content and volume, …
Published in Journal of Electronic Design Technology · Vol. 16, Issue 2, 2025 · pp. 17–23 Read article
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Fake Product Detection Using Convolutional Neural Networks
Abstract: The widespread circulation of counterfeit products in global markets presents a significant threat to both consumer trust and the integrity of established brands. With the advancement of artificial intelligence, particularly deep learning, there is growing potential to develop more sophisticated systems to combat this issue. This study introduces a novel counterfeit detection framework using the VGG16 Convolutional Neural Network (CNN) to distinguish between authentic and counterfeit products through image analysis. …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 2, 2025 · pp. 08–15 Read article
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A Comprehensive Analysis of Machine Learning Models for Credit Card Fraud Detection
Abstract: This paper presents an indepth comparison of various machine learning models—Logistic Regression, Support Vector Classification (SVC), and Neural Networks (NN)—in the context of credit card fraud detection. The analysis spans multiple performance metrics, including accuracy, F1 score, precision, recall, and computational efficiency. Logistic Regression demonstrates competitive performance in terms of accuracy, but its poor precision renders it unsuitable for fraud detection tasks. Conversely, the Neural Network exhibits balanced precision and …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 3, 2025 Read article
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Securing Originality: A Critical Analysis of Plagiarism Detection Using Blockchain
Abstract: Plagiarism is the fraudulent representation of another person's language, thoughts, ideas, or expressions as one's own original work. Plagiarism is viewed as scholastic unscrupulous ness and a break of editorial morals. It is liable to approvals, for example punishments, suspension, ejection from school or work, significant fines and even detainment. Implementing Blockchain increases security so to see the effect that blockchain truly change the way that students approach writing andsubmitting …
Published in Recent Trends in Electronics Communication Systems · Vol. 10, Issue 1, 2023 · pp. 34–40 Read article
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A Comparative Study to Assess the Knowledge Regarding Food Adulteration, its Detection and to Create Awareness among Homemakers Regarding Food Safety Standards in Selected Rural and Urban Community of Drug District, Chhattisgarh
Abstract: Health is wealth; happiness lies in the health of man. Good health helps to develop charm, grace and happy mind. Florence Nightingale recognizes the radically changed outcomes by addressing clean water, nourishing food, light and fresh air. Good nutritive food plays very vital role in maintaining proper health and also helps in prevention and cure of diseases. All body functions like metabolic, hormonal, mental, physical or chemical cannot be performed …
Published in Journal of Nursing Science & Practice · Vol. 9, Issue 1, 2019 · pp. 50–70 Read article
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Survey Paper of Image Forensics based on Tampering Detection using Feature Extraction Technique
Abstract: AbstractThe digital images (DI) are becoming vital components in the field of statistics forensics and protection. Because of the popularity of picture enhancing tools, DI may be altered. Therefore, it is ought to create forensic strategies that are able to detect tampering in pictures. Image forensic (IF) is a vital part of many investigations. The numerous low-cost effective digital tools have enabled easy picture creation, change and distribution, which make …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 4, Issue 1, 2017 · pp. 33–42 Read article
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Vehicle Insurance Fraud Detection Using Supervised Neural Network Model
Abstract: Vehicle insurance fraud is a serious problem that causes huge financial losses to insurance companies. In recent years, developing fraud detection models using machine-learning techniques has been of great interest. This study proposes a novel approach for vehicle insurance fraud detection using Supervised Neural network model on the Kaggle Vehicle Insurance Fraud Detection dataset. The initial step in this study involves performing data pre-processing and feature extraction on the dataset, …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 10, Issue 1, 2023 · pp. 32–39 Read article
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E-user Verification Using Blockchain
Abstract: The process of identification is quite hectic and recurring lots of fake identification are created for fraudulent transactions. It is a tedious work of carrying and managing all our documents. E-identity verification is the system which is proposed to make the process of identification easier and faster with one time user identification and then identifying the user based on the saved data. Recently, a new authentication protocol based on blockchain …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 10, Issue 1, 2023 · pp. 20–28 Read article
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A Survey on Image Forgery Detection Techniques Using Machine Learning Approaches
Abstract: With the advent of newer technologies and usage of data in various service fields like education, commercial and healthcare, etc. The possibility of tampering and altering the data in the form of media like images is easily seen to derive various illegitimate benefits and outcomes. The rapid advancements in technology and the increased utilization of data in various service sectors such as education, commerce, healthcare, etc., have raised concerns about …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 10, Issue 2, 2023 · pp. 17–26 Read article
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A Review: Identification of Credit Card Fraud Using Machine Learning and Anomaly Detection Approach’s on Imbalanced Data
Abstract: Credit cards are among the most widely used payment methods in today's culture, and online purchases have become quite popular. Credit card fraud has emerged as a problem in this industry as a direct result of its popularity. The issue of credit card fraud is becoming a global problem. Credit card fraud has increased due to the widespread use of these payment methods. Thanks to credit card use, e-commerce has …
Published in Recent Trends in Programming languages · Vol. 10, Issue 3, 2023 · pp. 27–40 Read article
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Prediction of Phishing Website using Visual Cryptography
Abstract: Phishing is a new type of social network attack. It is the act of attempting to acquire theinformation such as username, password, credit card details, etc. In this project, a newapproach named as “Image Captcha Based Authentication Using Visual Cryptography”to solve the problem of phishing is proposed. The string is converted into image captchausing the extracting and embedding method. The visual cryptography is used to preservethe privacy of image captcha …
Published in Journal Of Network security · Vol. 2, Issue 1, 2014 · pp. 28–33 Read article
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Ethics and Research Integrity
Abstract: Research can be defined as search for knowledge or systematic investigation to establish the truth. Scientific research is application of scientific method, harnessing of curiosity for explaining the nature and properties of the world around us. The role of a scientist is to acquire knowledge by engaging himself in scientific activities. A scientist has more social responsibility. Each scientist does not behave with complete honesty towards present and future scientists, …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 3, Issue 1, 2013 · pp. 8–15 Read article
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Review on UV – Visible Spectroscopy and HPLC
Abstract: Like Fourier-transform infrared spectroscopy, UV-visible spectroscopy is used to determine the purity of pharmaceutical compounds. Many substances have chromospheres, which absorb certain wavelengths of ultraviolet or visible light. Using the Beer–Lambert equation, the absorption of spectra obtained from these samples at given wavelengths can be directly related to the sample concentration. Normally, UV and UV-visible spectra are recorded at high and low pH, and the results of both are compared …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 13, Issue 1, 2022 · pp. 43–54 Read article