Custom Online Banking Fraud Detection For Dummies Epdf
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Identification and Mitigation of Fraudulent Online Transactions Using Authentication and Fraud Detection System
The book explores comprehensive demonstration of the performance analytics following the implementation of the authentication and fraud detection system strategies. These evaluations are based on different performance metrics such as accuracy, true positive rate, true negative rate, precision, g-mean, f1-score and receiver operating characteristic curve. This book highlights effectiveness of the implemented authentication and fraud detection system based on their performance statistics. Additionally, it explores the limitations and social impact of the developed online transaction system, offering insights into potential areas for future research.
2021 Handbook on AI and International Law
Author: Abhivardhan
language: en
Publisher: Indic Pacific Legal Research LLP
Release Date: 2022-05-10
The 2021 Handbook on AI and International Law is a collation of chapters, where the legal implications of using artificial intelligence, in various international law domains is propounded upon. 19 Contributors and 4 Editors, in a project led by Abhivardhan, the Chair of the Indian Society of Artificial Intelligence and Law have made this publication as a Part II of the Handbook Project.
Fraud and Fraud Detection
Detect fraud faster—no matter how well hidden—with IDEA automation Fraud and Fraud Detection takes an advanced approach to fraud management, providing step-by-step guidance on automating detection and forensics using CaseWare's IDEA software. The book begins by reviewing the major types of fraud, then details the specific computerized tests that can detect them. Readers will learn to use complex data analysis techniques, including automation scripts, allowing easier and more sensitive detection of anomalies that require further review. The companion website provides access to a demo version of IDEA, along with sample scripts that allow readers to immediately test the procedures from the book. Business systems' electronic databases have grown tremendously with the rise of big data, and will continue to increase at significant rates. Fraudulent transactions are easily hidden in these enormous datasets, but Fraud and Fraud Detection helps readers gain the data analytics skills that can bring these anomalies to light. Step-by-step instruction and practical advice provide the specific abilities that will enhance the audit and investigation process. Readers will learn to: Understand the different areas of fraud and their specific detection methods Identify anomalies and risk areas using computerized techniques Develop a step-by-step plan for detecting fraud through data analytics Utilize IDEA software to automate detection and identification procedures The delineation of detection techniques for each type of fraud makes this book a must-have for students and new fraud prevention professionals, and the step-by-step guidance to automation and complex analytics will prove useful for even experienced examiners. With datasets growing exponentially, increasing both the speed and sensitivity of detection helps fraud professionals stay ahead of the game. Fraud and Fraud Detection is a guide to more efficient, more effective fraud identification.