The gaze and mouse signal as additional source for user fingerprints in browser applications

W Fuhl, D Weber, S Eivazi - arXiv preprint arXiv:2101.03793, 2021 - arxiv.org
In this work, we inspect different data sources for browser fingerprints. We show which
disadvantages and limitations browser statistics have and how this can be avoided with …

Fraud detection using machine learning in e-commerce

A Saputra - … Journal of Advanced Computer Science and …, 2019 - search.proquest.com
The volume of internet users is increasingly causing transactions on e-commerce to
increase as well. We observe the quantity of fraud on online transactions is increasing too …

[PDF][PDF] Browser fingerprint coding methods increasing the effectiveness of user identification in the web traffic

M Gabryel, K Grzanek, Y Hayashi - Journal of Artificial Intelligence and …, 2020 - sciendo.com
Web-based browser fingerprint (or device fingerprint) is a tool used to identify and track user
activity in web traffic. It is also used to identify computers that are abusing online advertising …

[PDF][PDF] Pemetaan bentuk dan pencegahan penipuan e-commerce

NKA Dewi, LP Mahyuni - E-Jurnal Ekonomi Dan Bisnis Universitas …, 2020 - ojs.unud.ac.id

Prediction of financial statement fraud using machine learning techniques in UAE

M El-Bannany, AH Dehghan… - 2021 18th International …, 2021 - ieeexplore.ieee.org
The purpose of this study is to predict the potential occurrence of financial statement fraud in
the United Arab Emirates (UAE) companies using machine learning (ML) techniques in …

The Impact of Customer Satisfaction and Customer Trust to Repurchase Intention in Purchasing Digital Product at the Marketplace

E Halim, MT Hebrard, C Laurent… - … Seminar on Intelligent …, 2022 - ieeexplore.ieee.org
Internet technology in Indonesia is increasing nowadays, especially in e-commerce. With
internet users in the third rank in Asia (212.35 million)[1] and the highest e-commerce usage …

[PDF][PDF] Machine Learning Methods for Detecting Fraud in Online Marketplaces.

R Dekou, S Savo, S Kufeld, D Francesca, R Kawase - CIKM Workshops, 2021 - ceur-ws.org
Connecting buyers and sellers in a safe and secure environment is one of the biggest
challenges in online marketplaces. Probabilistic models built upon user-item databases …

[PDF][PDF] Conceptual model of relationship between trust, perceived risk, price dispersion, e-WOM, perceived value, and online transaction intention

CA Pradhana, H Suliantoro, A Susanty - Proceedings of the …, 2021 - academia.edu
Indonesia has always been a lucrative market for e-marketplace and classified ads
development as the country has both a large population of youth and stronger economic …

SemRec–An efficient ensemble recommender with sentiment based clustering for social media text corpus

S Renjith, A Sreekumar… - … : Practice and Experience, 2021 - Wiley Online Library
The frequent user interactions happening in the form of textual contents like reviews, ratings,
tags, blogs, testimonials, and so forth transformed the social media platform into a …

Cheat Detection for Credit Cards Using Artificial Intelligence

SH Anjum, G Patil - 2022 IEEE North Karnataka Subsection …, 2022 - ieeexplore.ieee.org
The volume of web clients is progressively making changes on web-based business
increment too. It is noticed that the amount of fraud on web-based exchanges is expanding …