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Accounting Information Systems

Fourteenth Edition

Chapter 5

Computer Fraud

Copyright © 2018 Pearson Education, Inc. All Rights Reserved

Copyright © 2018 Pearson Education, Inc.

Chapter 5: Computer Fraud

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Learning Objectives

Explain the threats faced by modern information systems.

Define fraud and describe both the different types of fraud and the auditor’s responsibility to detect fraud.

Discuss who perpetrates fraud and why it occurs, including the pressures, opportunities, and rationalizations that are present in most frauds.

Define computer fraud and discuss the different computer fraud classifications.

Explain how to prevent and detect computer fraud and abuse.

Copyright © 2018 Pearson Education, Inc.

Chapter 5: Computer Fraud

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Threats to AIS

Natural and Political disasters

Software errors and equipment malfunctions

Unintentional acts

Intentional acts

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Chapter 5: Computer Fraud

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Fraud

Any means a person uses to gain an unfair advantage over another person; includes:

A false statement, representation, or disclosure

A material fact, which induces a victim to act

An intent to deceive

Victim relied on the misrepresentation

Injury or loss was suffered by the victim

Fraud is white-collar crime

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Two Categories of Fraud

Misappropriation of assets

Theft of company assets which can include physical assets (e.g., cash, inventory) and digital assets (e.g., intellectual property such as protected trade secrets, customer data)

Fraudulent financial reporting

“cooking the books” (e.g., booking fictitious revenue, overstating assets, etc.)

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Auditor’s Responsibility

SAS No. 99 (AU-C Section 240) requires auditor’s to:

Understand fraud

Discuss the risks of material fraudulent misstatements

Obtain information

Identify, assess, and respond to risks

Evaluate the results of their audit tests

Document and Communicate findings

Incorporate a technology focus

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Conditions for Fraud

These three conditions must be present for fraud to occur:

Pressure

Employee

Financial

Lifestyle

Emotional

Financial Statement

Financial

Management

Industry conditions

Opportunity to:

Commit

Conceal

Convert to personal gain

Rationalize

Justify behavior

Attitude that rules don’t apply

Lack personal integrity

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Fraud Triangle

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Copyright © 2018 Pearson Education, Inc.

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Computer Fraud

If a computer is used to commit fraud it is called computer fraud.

Computer fraud is classified as:

Input

Processor

Computer instruction

Data

Output

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Preventing and Detecting Fraud 1. Make Fraud Less Likely to Occur

Organizational

Systems

Create a culture of integrity

Adopt structure that minimizes fraud, create governance (e.g., Board of Directors)

Assign authority for business objectives and hold them accountable for achieving those objectives, effective supervision and monitoring of employees

Communicate policies

Develop security policies to guide and design specific control procedures

Implement change management controls and project development acquisition controls

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Preventing and Detecting Fraud 2. Make It Difficulty to Commit

Organizational

Systems

Develop strong internal controls

Segregate accounting functions

Use properly designed forms

Require independent checks and reconciliations of data

Restrict access

System authentication

Implement computer controls over input, processing, storage and output of data

Use encryption

Fix software bugs and update systems regularly

Destroy hard drives when disposing of computers

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Preventing and Detecting Fraud 3. Improve Detection

Organizational

Systems

Assess fraud risk

External and internal audits

Fraud hotline

Audit trail of transactions through the system

Install fraud detection software

Monitor system activities (user and error logs, intrusion detection)

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Preventing and Detecting Fraud 4. Reduce Fraud Losses

Organizational

Systems

Insurance

Business continuity and disaster recovery plan

Store backup copies of program and data files in secure, off-site location

Monitor system activity

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Key Terms

Sabotage

Cookie

Fraud

White-collar criminals

Corruption

Investment fraud

Misappropriation of assets

Fraudulent financial reporting

Pressure

Opportunity

Rationalization

Lapping

Check kiting

Computer fraud

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