The AI Revolution in Financial Services: Emerging Methods for Fraud Detection and Prevention

AK Lin - Jurnal Galaksi, 2024 - ejournal.pancawidya.or.id
Companies worldwide have a significant issue in the form of financial fraud. The
repercussions are not limited to financial losses; they also encompass a decline in customer …

Financial fraud detection through the application of machine learning techniques: a literature review

L Hernandez Aros, LX Bustamante Molano… - Humanities and Social …, 2024 - nature.com
Financial fraud negatively impacts organizational administrative processes, particularly
affecting owners and/or investors seeking to maximize their profits. Addressing this issue …

[PDF][PDF] Impact of AI on cybersecurity and security compliance

A Folorunso, T Adewumi, A Adewa… - Global Journal of …, 2024 - researchgate.net
Artificial Intelligence (AI) is transforming the field of cybersecurity and reshaping security
compliance practices. As cyber threats become increasingly complex, AI offers powerful …

Leveraging artificial intelligence for enhancing regulatory compliance in the financial sector

A Balakrishnan - International Journal of Computer Trends and …, 2024 - papers.ssrn.com
Artificial Intelligence (AI) technologies are revolutionizing the way financial institutions
manage regulatory compliance, offering unprecedented opportunities for efficiency and …

UI/UX Design for Online Learning Approach by Predictive Student Experience

KR Chaganti, US Ramula… - 2023 7th …, 2023 - ieeexplore.ieee.org
This study examines how an User Interface (UI) and User Experience (UX) design for online
learning/educational platforms can be designed in a way that can be fully effective for …

CryptoGenSec: A Hybrid Generative AI Algorithm for Dynamic Cryptographic Cyber Defence

G Al-Kateb, I Khaleel, M Aljanabi - Mesopotamian Journal of …, 2024 - mesopotamian.press
As the world of cybersecurity constantly changes, traditional cryptographic techniques have
faced limitations in the context of today's sophisticated and dynamic threats. Existing …

An analysis on classification models for customer churn prediction

KC Mouli, CV Raghavendran, VY Bharadwaj… - Cogent …, 2024 - Taylor & Francis
The rapid expansion of technical infrastructure has brought about transformative changes in
business operations. A notable consequence of this digital evolution is the proliferation of …

FinSafeNet: securing digital transactions using optimized deep learning and multi-kernel PCA (MKPCA) with Nyström approximation

AR Khan, SS Ahamad, S Mishra, MAR Khan… - Scientific Reports, 2024 - nature.com
With the swift advancement of technology and growing popularity of internet in business and
communication, cybersecurity posed a global threat. This research focuses new Deep …

A Review on Financial Fraud Detection using AI and Machine Learning

P Kamuangu - Journal of Economics, Finance and Accounting …, 2024 - al-kindipublisher.com
This study thoroughly explores advanced approaches for addressing financial fraud,
focusing on the effectiveness of Machine Learning (ML) and Artificial Intelligence (AI) …

Analysis of the benefits of artificial intelligence and human personality study on online fraud detection

K Bansal, AC Paliwal, AK Singh - International Journal of Law and …, 2024 - emerald.com
Purpose Technology advancement has changed how banks operate. Modernizing
technology has, on the one hand, made it simpler for banks to do their daily business, but it …