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Author: Marian V. Sackson
Publisher:
ISBN:
Category : Business
Languages : en
Pages : 130
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Book Description
Author: Marian V. Sackson
Publisher:
ISBN:
Category : Business
Languages : en
Pages : 130
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Book Description
Author: David Coderre
Publisher: John Wiley & Sons
ISBN: 0470451610
Category : Business & Economics
Languages : en
Pages : 374
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Book Description
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
Author: P. A. Collier
Publisher:
ISBN: 9780948036644
Category : Computer crimes
Languages : en
Pages : 112
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Book Description
Author: Naim, Arshi
Publisher: IGI Global
ISBN: 1668465833
Category : Computers
Languages : en
Pages : 368
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Book Description
The modern business world faces many new challenges in preserving its confidentiality and data from online attackers. Further, it also faces a struggle with preventing fraud. These challenges threaten businesses internally and externally and can cause huge losses. It is essential for business leaders to be up to date on the current fraud prevention, confidentiality, and data security to protect their businesses. Fraud Prevention, Confidentiality, and Data Security for Modern Businesses provides examples and research on the security challenges, practices, and blueprints for todays data storage and analysis systems to protect against current and emerging attackers in the modern business world. It includes the organizational, strategic, and technological depth to design modern data security practices within any organization. Covering topics such as confidential communication, information security management, and social engineering, this premier reference source is an indispensable resource for business executives and leaders, entrepreneurs, IT managers, security specialists, students and educators of higher education, librarians, researchers, and academicians.
Author: Robert C Newman
Publisher: Jones & Bartlett Publishers
ISBN: 1449660509
Category : Computers
Languages : en
Pages : 483
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Book Description
Today, society is faced with numerous internet schemes, fraudulent scams, and means of identity theft that threaten our safety and our peace of mind. Computer Security: Protecting Digital Resources provides a broad approach to computer-related crime, electronic commerce, corporate networking, and Internet security, topics that have become increasingly important as more and more threats are made on our internet environment. This book is oriented toward the average computer user, business professional, government worker, and those within the education community, with the expectation that readers can learn to use the network with some degree of safety and security. The author places emphasis on the numerous vulnerabilities and threats that are inherent in the Internet environment. Efforts are made to present techniques and suggestions to avoid identity theft and fraud. Readers will gain a clear insight into the many security issues facing the e-commerce, networking, web, and internet environments, as well as what can be done to keep personal and business information secure.
Author: Rodney T. Stamler
Publisher: CRC Press
ISBN: 1466554541
Category : Business & Economics
Languages : en
Pages : 318
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Book Description
Lessons can be learned from major fraud cases. Whether the victim is a company, public agency, nonprofit, foundation, or charity, there is a high likelihood that many of these frauds could have been prevented or detected sooner if early Red Flag warning signs had been identified and acted upon. Fraud Prevention and Detection: Warning Signs and the Red Flag System will enable officers and directors, internal and external stakeholders, as well as outside analysts to protect themselves and their organizations against fraud by effectively detecting, analyzing, and acting on early Red Flag warning signs. Based on an empirically tested strategy, the Red Flag System reflects the authors’ more than 100 years combined experience in the investigation of fraud in high-profile, global cases in North America, Africa, Europe, and the Far East. Readers of this book will: Acquire a general awareness of the nature, characteristics, and dynamics of fraud Understand the process for determining whether a fraud has been committed Develop an understanding of enterprise risk management approaches for fraud risk management, compliance risk management, and managing the risk of fraudulent financial reporting—including an understanding of the limitations inherent in these approaches Learn how to find Red Flag indicators of fraud or suspicious transactions in financial statements, budgets, and contracts Know how to ensure that, once a Red Flag has been identified, appropriate action is taken Fraud can lead to significant financial loss as well as bad press and publicity with significant reputational impact for officers, directors, corporations, and their stakeholders. This book’s no-nonsense approach empowers those charged with protecting organizations to stop these frauds before the organization’s livelihood is jeopardized or to mitigate damage when fraud has occurred.
Author: Michael R. Young
Publisher: John Wiley & Sons
ISBN: 1118761634
Category : Business & Economics
Languages : en
Pages : 325
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Book Description
Step-by-step guidance for board members and executives on preventing and detecting accounting fraud In the wake of highly publicized allegations of accounting irregularities and fraudulent financial reporting that are shaking up today's corporate community, Financial Fraud Prevention and Detection provides a step-by-step guide to how these crises can envelop a company and how to prevent them from happening in the first place. It is written for almost everyone involved: outside directors, audit committee members, senior executives, CFOs, CPAs, in-house lawyers, and outside law firms. Provides a blueprint for Fraud Prevention and Detection for corporate executives Presents step-by-step guidance to corporate boards and C-suite executives on managing the threat of accounting fraud Prepares directors and executives for the possibility of accounting irregularities Answers the question of how accounting fraud starts—and grows With solid strategies for prevention of accounting fraud as well as a process to follow when fraud has been discovered, Financial Fraud Prevention and Detection vividly explores the corporate environment that causes fraud, how it spreads, the kind of crises it can create for a company, and the best ways to deal with it.
Author: Romanus Okeke
Publisher: Routledge
ISBN: 1317553713
Category : Business & Economics
Languages : en
Pages : 178
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Book Description
As retail businesses migrate to the digital realm, internal information theft incidents continue to threaten on-line and off-line retail operations. The evolving propagation of internal information theft has surpassed the traditional techniques of crime prevention practices. Many business organizations search for internal information theft prevention guides that fit into their retail business operation, only to be inundated with generic and theoretical models. This book examines applicable methods for retail businesses to effectively prevent internal information theft. Information Theft Prevention offers readers a comprehensive understanding of the current status of the retail sector information theft prevention models in relation to the internationally recognized benchmark of information security. It presents simple and effective management processes for ensuring better information system security, fostering a proactive approach to internal information theft prevention. Furthermore, it builds on well-defined retail business cases to identify applicable solutions for businesses today. Integrating the retail business operations and information system security practices, the book identifies ways to coordinate efforts across a business in order to achieve the best results. IT security managers and professionals, financial frauds consultants, cyber security professionals and crime prevention professionals will find this book a valuable resource for identifying and creating tools to prevent internal information theft.
Author: Xingquan Zhu
Publisher: Springer
ISBN: 3319567934
Category : Computers
Languages : en
Pages : 61
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Book Description
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.
Author: Bart Baesens
Publisher: John Wiley & Sons
ISBN: 1119146828
Category : Computers
Languages : en
Pages : 402
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Book Description
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.
