Fraud And Fraud Detection Website

Fraud And Fraud Detection Website Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Fraud And Fraud Detection Website book. This book definitely worth reading, it is an incredibly well-written.

Fraud and Fraud Detection, + Website

Sunder Gee
Fraud and Fraud Detection Website Book PDF

Author : Sunder Gee
Publisher : John Wiley & Sons
Page : 358 pages
File Size : 44,7 Mb
Release : 2014-12-03
Category : Business & Economics
ISBN : 9781118779651

Get Book

Fraud and Fraud Detection, + Website by Sunder Gee Pdf

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.

Detecting Fraud in Organizations

Joseph R. Petrucelli
Detecting Fraud in Organizations Book PDF

Author : Joseph R. Petrucelli
Publisher : John Wiley & Sons
Page : 390 pages
File Size : 52,8 Mb
Release : 2013-01-29
Category : Business & Economics
ISBN : 9781118103142

Get Book

Detecting Fraud in Organizations by Joseph R. Petrucelli Pdf

A savvy examination of where people and value meet, creating the opportunity for fraud An essential reference for all business professionals, Detecting Fraud in Organizations: Techniques, Tools, and Resources explains the process of how people commit fraud, as well as how to prevent and stop fraud from occurring in your organization. Organized by business processes which succinctly describe how fraud manifests itself on a daily basis, the authors explain ways in which everyone can help guard against fraud by familiarizing themselves with its building blocks and methods used to perpetrate and conceal it. Filled with situational examples the book is accompanied by a website featuring fraud simulations, business process maps, and other useful tools for combating fraud. Focuses on the people who perpetrate fraud and those who are tasked with preventing and detecting it Uniquely organized by business processes for more relevance and easier understanding by those people working within organizations Shows how subtle factors play a large role in identifying and ferreting out fraud in addition to the traditional knowledge of fraud schemes giving people and organizations the edge they need to be successful in prevention and deterrence Companion website includes additional fraud simulations, business process maps, and useful tools The price of fraud can be devastating to your business. Detecting Fraud in Organizations: Techniques, Tools, and Resources equips you and others in your organization with essential information and tools necessary to proactively catch fraud, reduce losses, improve efficiencies and develop actionable controls.

Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques

Bart Baesens,Veronique Van Vlasselaer,Wouter Verbeke
Fraud Analytics Using Descriptive Predictive and Social Network Techniques Book PDF

Author : Bart Baesens,Veronique Van Vlasselaer,Wouter Verbeke
Publisher : John Wiley & Sons
Page : 406 pages
File Size : 43,9 Mb
Release : 2015-08-17
Category : Computers
ISBN : 9781119133124

Get Book

Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques by Bart Baesens,Veronique Van Vlasselaer,Wouter Verbeke Pdf

Detect fraud earlier to mitigate loss and prevent cascading damage Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques is an authoritative guidebook for setting up a comprehensive fraud detection analytics solution. Early detection is a key factor in mitigating fraud damage, but it involves more specialized techniques than detecting fraud at the more advanced stages. This invaluable guide details both the theory and technical aspects of these techniques, and provides expert insight into streamlining implementation. Coverage includes data gathering, preprocessing, model building, and post-implementation, with comprehensive guidance on various learning techniques and the data types utilized by each. These techniques are effective for fraud detection across industry boundaries, including applications in insurance fraud, credit card fraud, anti-money laundering, healthcare fraud, telecommunications fraud, click fraud, tax evasion, and more, giving you a highly practical framework for fraud prevention. It is estimated that a typical organization loses about 5% of its revenue to fraud every year. More effective fraud detection is possible, and this book describes the various analytical techniques your organization must implement to put a stop to the revenue leak. Examine fraud patterns in historical data Utilize labeled, unlabeled, and networked data Detect fraud before the damage cascades Reduce losses, increase recovery, and tighten security The longer fraud is allowed to go on, the more harm it causes. It expands exponentially, sending ripples of damage throughout the organization, and becomes more and more complex to track, stop, and reverse. Fraud prevention relies on early and effective fraud detection, enabled by the techniques discussed here. Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques helps you stop fraud in its tracks, and eliminate the opportunities for future occurrence.

Fraud and Fraud Detection

Sunder Gee
Fraud and Fraud Detection Book PDF

Author : Sunder Gee
Publisher : Wiley
Page : 0 pages
File Size : 40,9 Mb
Release : 2014-11-14
Category : Data mining
ISBN : 1118936760

Get Book

Fraud and Fraud Detection by Sunder Gee Pdf

This book takes an advanced approach to fraud management, providing step-by-step guidance on automating detection and forensics using CaseWare's IDEA software. Readers will learn to use complex data analysis techniques, including automation scripts, allowing easier and more sensitive detection of anomalies that require further review. You 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. --

Machine Learning Advances in Payment Card Fraud Detection

Nick Ryman-Tubb,Paul Krause
Machine Learning Advances in Payment Card Fraud Detection Book PDF

Author : Nick Ryman-Tubb,Paul Krause
Publisher : Academic Press
Page : 350 pages
File Size : 47,9 Mb
Release : 2019-06-15
Category : Business & Economics
ISBN : 0128134151

Get Book

Machine Learning Advances in Payment Card Fraud Detection by Nick Ryman-Tubb,Paul Krause Pdf

Machine Learning Advances in Payment Card Fraud Detection provides a thorough review of the state-of-the-art in fraud detection research that is ideal for graduate level readers and professionals. Through a comprehensive examination of fraud analytics that covers data collection, steps for cleaning and processing data, tools for analyzing data, and ways to draw insights, the book introduces state-of the-art payment fraud detection techniques. Other topics covered include machine learning techniques for the detection of fraud, including SOAR, and opportunities for future research, such as developing holistic approaches for countering fraud. Covers analytical approaches and machine learning for fraud detection Explores SOAR with full R-code and example obfuscated datasets in a freely-accessible companion website Introduces state-of the-art payment fraud detection techniques

Fraud Analysis Techniques Using ACL

David Coderre
Fraud Analysis Techniques Using ACL Book PDF

Author : David Coderre
Publisher : John Wiley & Sons
Page : 327 pages
File Size : 40,6 Mb
Release : 2009-07-23
Category : Business & Economics
ISBN : 9780470508480

Get Book

Fraud Analysis Techniques Using ACL by David Coderre Pdf

"When people ask me what they can do to better utilize ACL, I tell them, 'Take an instructor lead course, participate in the ACL Forum, and study (not read, study) David Coderre's Fraud Analysis Techniques Using ACL.' I studied this book, and would not be where I am today without it. Even without the anti-fraud material, the book is worth the investment as a tool to learning ACL!" —Porter Broyles, President and founder of the Texas ACL User Group, Keynote Speaker at ACL's 2009 San Francisco Conference, Official ACL Super User "For individuals interested in learning about fraud analysis techniques or the art of ACL scripting, this book is a must-read. For those individuals interested in learning both, this book is a treasure." —Jim Hess, Principal, Hess Group, LLC Your very own ACL Fraud Toolkit—at your fingertips Fraud Analysis Techniques Using ACL offers auditors and investigators: Authoritative guidance from David Coderre, renowned expert on the use of computer-assisted audit tools and techniques in fraud detection A website containing an educational version of ACL from the world leader in fraud detection software An accompanying website containing a thorough Fraud Toolkit with two sets of customizable scripts to serve your specific audit needs Case studies and sample data files that you can use to try out the tests Step-by-step instructions on how to run the tests A self-study course on ACL script development with exercises, data files, and suggested answers The toolkit also contains 12 'utility scripts' and a self-study course on ACL scripting which includes exercises, data files, and proposed answers. Filled with screen shots, flow charts, example data files, and descriptive commentary highlighting and explaining each step, as well as case studies offering real-world examples of how the scripts can be used to search for fraud, Fraud Analysis Techniques Using ACL is the only toolkit you will need to harness the power of ACL to spot fraud.

Fraud Prevention in Online Digital Advertising

Xingquan Zhu,Haicheng Tao,Zhiang Wu,Jie Cao,Kristopher Kalish,Jeremy Kayne
Fraud Prevention in Online Digital Advertising Book PDF

Author : Xingquan Zhu,Haicheng Tao,Zhiang Wu,Jie Cao,Kristopher Kalish,Jeremy Kayne
Publisher : Springer
Page : 54 pages
File Size : 54,8 Mb
Release : 2017-06-08
Category : Computers
ISBN : 9783319567938

Get Book

Fraud Prevention in Online Digital Advertising by Xingquan Zhu,Haicheng Tao,Zhiang Wu,Jie Cao,Kristopher Kalish,Jeremy Kayne Pdf

The authors systematically review methods of online digital advertising (ad) fraud and the techniques to prevent and defeat such fraud in this brief. The authors categorize ad fraud into three major categories, including (1) placement fraud, (2) traffic fraud, and (3) action fraud. It summarizes major features of each type of fraud, and also outlines measures and resources to detect each type of fraud. This brief provides a comprehensive guideline to help researchers understand the state-of-the-art in ad fraud detection. It also serves as a technical reference for industry to design new techniques and solutions to win the battle against fraud.

Computer Aided Fraud Prevention and Detection

David Coderre
Computer Aided Fraud Prevention and Detection Book PDF

Author : David Coderre
Publisher : John Wiley & Sons
Page : 374 pages
File Size : 52,7 Mb
Release : 2009-03-17
Category : Business & Economics
ISBN : 9780470451618

Get Book

Computer Aided Fraud Prevention and Detection by David Coderre Pdf

Praise for Computer-Aided Fraud Prevention and Detection: A Step-by-Step Guide "A wonderful desktop reference for anyone trying to move from traditional auditing to integrated auditing. The numerous case studies make it easy to understand and provide a how-to for those?seeking to implement automated tools including continuous assurance. Whether you are just starting down the path or well on your way, it is a valuable resource." -Kate M. Head, CPA, CFE, CISA Associate Director, Audit and Compliance University of South Florida "I have been fortunate enough to learn from Dave's work over the last fifteen years, and this publication is no exception. Using his twenty-plus years of experience, Dave walks through every aspect of detecting fraud with a computer from the genesis of the act to the mining of data for its traces and its ultimate detection. A complete text that first explains how one prevents and detects fraud regardless of technology and then shows how by automating such procedures, the examiners' powers become superhuman." -Richard B. Lanza, President, Cash Recovery Partners, LLC "Computer-Aided Fraud Prevention and Detection: A Step-by-Step Guide helps management and auditors answer T. S. Eliot's timeless question, 'Where is the knowledge lost in information?' Data analysis provides a means to mine the knowledge hidden in our information. Dave Coderre has long been a leader in educating auditors and others about Computer Assisted Audit Techniques. The book combines practical approaches with unique data analysis case examples that compel the readers to try the techniques themselves." -Courtenay Thompson Jr. Consultant, Courtenay Thompson & Associates

Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques

Bart Baesens,Veronique Van Vlasselaer,Wouter Verbeke
Fraud Analytics Using Descriptive Predictive and Social Network Techniques Book PDF

Author : Bart Baesens,Veronique Van Vlasselaer,Wouter Verbeke
Publisher : John Wiley & Sons
Page : 400 pages
File Size : 52,5 Mb
Release : 2015-07-27
Category : Computers
ISBN : 9781119146827

Get Book

Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques by Bart Baesens,Veronique Van Vlasselaer,Wouter Verbeke Pdf

Detect fraud earlier to mitigate loss and prevent cascading damage Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques is an authoritative guidebook for setting up a comprehensive fraud detection analytics solution. Early detection is a key factor in mitigating fraud damage, but it involves more specialized techniques than detecting fraud at the more advanced stages. This invaluable guide details both the theory and technical aspects of these techniques, and provides expert insight into streamlining implementation. Coverage includes data gathering, preprocessing, model building, and post-implementation, with comprehensive guidance on various learning techniques and the data types utilized by each. These techniques are effective for fraud detection across industry boundaries, including applications in insurance fraud, credit card fraud, anti-money laundering, healthcare fraud, telecommunications fraud, click fraud, tax evasion, and more, giving you a highly practical framework for fraud prevention. It is estimated that a typical organization loses about 5% of its revenue to fraud every year. More effective fraud detection is possible, and this book describes the various analytical techniques your organization must implement to put a stop to the revenue leak. Examine fraud patterns in historical data Utilize labeled, unlabeled, and networked data Detect fraud before the damage cascades Reduce losses, increase recovery, and tighten security The longer fraud is allowed to go on, the more harm it causes. It expands exponentially, sending ripples of damage throughout the organization, and becomes more and more complex to track, stop, and reverse. Fraud prevention relies on early and effective fraud detection, enabled by the techniques discussed here. Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques helps you stop fraud in its tracks, and eliminate the opportunities for future occurrence.

The Little Black Book of Scams

Industry Canada,Competition Bureau Canada
The Little Black Book of Scams Book PDF

Author : Industry Canada,Competition Bureau Canada
Publisher : Competition Bureau Canada
Page : 44 pages
File Size : 44,6 Mb
Release : 2014-03-10
Category : Business & Economics
ISBN : 9781100232409

Get Book

The Little Black Book of Scams by Industry Canada,Competition Bureau Canada Pdf

The Canadian edition of The Little Black Book of Scams is a compact and easy to use reference guide filled with information Canadians can use to protect themselves against a variety of common scams. It debunks common myths about scams, provides contact information for reporting a scam to the correct authority, and offers a step-by-step guide for scam victims to reduce their losses and avoid becoming repeat victims. Consumers and businesses can consult The Little Black Book of Scams to avoid falling victim to social media and mobile phone scams, fake charities and lotteries, dating and romance scams, and many other schemes used to defraud Canadians of their money and personal information.

Essentials of Online payment Security and Fraud Prevention

David A. Montague
Essentials of Online payment Security and Fraud Prevention Book PDF

Author : David A. Montague
Publisher : John Wiley & Sons
Page : 304 pages
File Size : 50,6 Mb
Release : 2010-11-05
Category : Business & Economics
ISBN : 9780470915141

Get Book

Essentials of Online payment Security and Fraud Prevention by David A. Montague Pdf

Essential guidance for preventing fraud in the card-not-present (CNP) space This book focuses on the prevention of fraud for the card-not-present transaction. The payment process, fraud schemes, and fraud techniques will all focus on these types of transactions ahead. Reveals the top 45 fraud prevention techniques Uniquely focuses on eCommerce fraud essentials Provides the basic concepts around CNP payments and the ways fraud is perpetrated If you do business online, you know fraud is a part of doing business. Essentials of On-line Payment Security and Fraud Prevention equips you to prevent fraud in the CNP space.

Real-time Fraud Detection Analytics on IBM System z

Mike Ebbers,Dheeraj Reddy Chintala,Priya Ranjan,Lakshminarayanan Sreenivasan,IBM Redbooks
Real time Fraud Detection Analytics on IBM System z Book PDF

Author : Mike Ebbers,Dheeraj Reddy Chintala,Priya Ranjan,Lakshminarayanan Sreenivasan,IBM Redbooks
Publisher : IBM Redbooks
Page : 70 pages
File Size : 51,9 Mb
Release : 2013-04-11
Category : Computers
ISBN : 9780738437637

Get Book

Real-time Fraud Detection Analytics on IBM System z by Mike Ebbers,Dheeraj Reddy Chintala,Priya Ranjan,Lakshminarayanan Sreenivasan,IBM Redbooks Pdf

Payment fraud can be defined as an intentional deception or misrepresentation that is designed to result in an unauthorized benefit. Fraud schemes are becoming more complex and difficult to identify. It is estimated that industries lose nearly $1 trillion USD annually because of fraud. The ideal solution is where you avoid making fraudulent payments without slowing down legitimate payments. This solution requires that you adopt a comprehensive fraud business architecture that applies predictive analytics. This IBM® Redbooks® publication begins with the business process flows of several industries, such as banking, property/casualty insurance, and tax revenue, where payment fraud is a significant problem. This book then shows how to incorporate technological advancements that help you move from a post-payment to pre-payment fraud detection architecture. Subsequent chapters describe a solution that is specific to the banking industry that can be easily extrapolated to other industries. This book describes the benefits of doing fraud detection on IBM System z®. This book is intended for financial decisionmakers, consultants, and architects, in addition to IT administrators.

Using Analytics to Detect Possible Fraud

Pamela S. Mantone
Using Analytics to Detect Possible Fraud Book PDF

Author : Pamela S. Mantone
Publisher : John Wiley & Sons
Page : 368 pages
File Size : 45,7 Mb
Release : 2013-07-16
Category : Business & Economics
ISBN : 9781118715987

Get Book

Using Analytics to Detect Possible Fraud by Pamela S. Mantone Pdf

Detailed tools and techniques for developing efficiency and effectiveness in forensic accounting Using Analytics to Detect Possible Fraud: Tools and Techniques is a practical overview of the first stage of forensic accounting, providing a common source of analytical techniques used for both efficiency and effectiveness in forensic accounting investigations. The book is written clearly so that those who do not have advanced mathematical skills will be able to understand the analytical tests and use the tests in a forensic accounting setting. It also includes case studies and visual techniques providing practical application of the analytical tests discussed. Shows how to develop both efficiency and effectiveness in forensic accounting Provides information in such a way that non-practitioners can easily understand Written in plain language: advanced mathematical skills are not required Features actual case studies using analytical tests Essential reading for every investor who wants to prevent financial fraud, Using Analytics to Detect Possible Fraud allows practitioners to focus on areas that require further investigative techniques and to unearth deceptive financial reporting before it's too late.

Business Theft and Fraud

James R. Youngblood
Business Theft and Fraud Book PDF

Author : James R. Youngblood
Publisher : CRC Press
Page : 243 pages
File Size : 53,6 Mb
Release : 2016-08-05
Category : Business & Economics
ISBN : 9781315352107

Get Book

Business Theft and Fraud by James R. Youngblood Pdf

Business Theft and Fraud: Detection and Prevention offers a broad perspective on business-related theft, providing a detailed discussion of numerous avenues of theft, including internal and external fraud, organized retail crime, mortgage fraud, cyber fraud, and extortion. Combining current research and the author’s extensive experience with loss prevention and security, this professional text identifies industry trouble areas and offers techniques to combat business theft, such as how to identify sales underreporting, track sales by shifts, and educate employees on computer-related fraud. This publication is critical for those involved with loss prevention, security, or criminal justice. Business Theft and Fraud’s accessible, franchise-oriented scope will help many professionals identify and thwart threats in the evolving business world.

Food Fraud Prevention

John W. Spink
Food Fraud Prevention Book PDF

Author : John W. Spink
Publisher : Springer Nature
Page : 627 pages
File Size : 46,8 Mb
Release : 2019-10-18
Category : Technology & Engineering
ISBN : 9781493996216

Get Book

Food Fraud Prevention by John W. Spink Pdf

This textbook provides both the theoretical and concrete foundations needed to fully develop, implement, and manage a Food Fraud Prevention Strategy. The scope of focus includes all types of fraud (from adulterant-substances to stolen goods to counterfeits) and all types of products (from ingredients through to finished goods at retail). There are now broad, harmonized, and thorough regulatory and standard certification requirements for the food manufacturers, suppliers, and retailers. These requirements create a need for a more focused and systematic approach to understanding the root cause, conducting vulnerability assessments, and organizing and implementing a Food Fraud Prevention Strategy. A major step in the harmonizing and sharing of best practices was the 2018 industry-wide standards and certification requirements in the Global Food Safety Initiative (GFSI) endorsed Food Safety Management Systems (e.g., BRC, FSSC, IFS, & SQF). Addressing food fraud is now NOT optional – requirements include implementing a Food Fraud Vulnerability Assessment and a Food Fraud Prevention Strategy for all types of fraud and for all products. The overall prevention strategy presented in this book begins with the basic requirements and expands through the criminology root cause analysis to the final resource-allocation decision-making based on the COSO principle of Enterprise Risk Management/ ERM. The focus on the root cause expands from detection and catching bad guys to the application of foundational criminology concepts that reduce the overall vulnerability. The concepts are integrated into a fully integrated and inter-connected management system that utilizes the Food Fraud Prevention Cycle (FFPC) that starts with a pre-filter or Food Fraud Initial Screening (FFIS). This is a comprehensive and all-encompassing textbook that takes an interdisciplinary approach to the most basic and most challenging questions of how to start, what to do, how much is enough, and how to measure success.