design of report

profilebachris
BassonoA5.pdf

DESIGNING REPORT

1

Christophe Bassono

Omaha, NE 68182-0694

21st September 2018.

Amanda L. Gutierrez,

Omaha, NE 68182-0694.

Dear Ms. Amanda Gutierrez,

SUBJECT: DRAFT REPORT FOR ONLINE FRAUD PROJECT

Please find attached my draft report for a project titled " Online Fraud: How to Avoid Internet

Scams in the Workplace." The draft report is intended to demonstrate the viability of the

project breaking it into smaller tasks that will provide a detailed analysis on key topics on

regarding online fraud.

The draft report will be broken into three major parts. The first section explains the history of

online fraud including the changes that have occurred with the advancement of technologies.

The second part talks about the statistics on online fraud and backs the numbers with a graph.

The third part illustrates the types of online fraud and how they occur. The two major types of

online fraud includes the friendly fraud and the clean fraud. Besides, other types of online

fraud entails include online intellectual property theft, identity theft, phishing, untrustworthy

websites, credit card fraud, and hacking. The fourth section discusses the approaches used to

DESIGNING REPORT

2

prevent computer fraud by both individuals and corporations. The last section includes

references that have been cited in the draft report. We will be using a style sheet characterizing the

different part of the draft , Time New Roman and size 12 will be applied for better reading.

As detailed in the draft report, I believe that it is possible to pursue the project and complete

it by the end of the semester.

Sincerely,

Christophe Bassono

DESIGNING REPORT

3

Style Sheet

(1) Font(s) Times New Roman, Font sizes 12 for the text including headings

(2) Heading styles: Heading are unbold

(3) Colors: Black

(4) Margins: 0.5 gutter

(5) Headers and/or footers: Designing Report

(6) Page numbering: Right intended

(7) Any visual guides for the reader: Not used

DESIGNING REPORT

4

How to avoid internet scams at the workplace

CIST3000: Advanced Composition IS&T

Amanda L. Gutierrez, M.S. & M.A.

UNO-Fall 2018

Christophe Bassono

DESIGNING REPORT

5

Title Page

How to avoid internet scams at the workplace

Christophe Bassono

CIST3000:

Advanced Composition IS&T

Amanda L. Gutierrez, M.S. & M.A

UNO-Fall 2018

DESIGNING REPORT

6

Table of Content

Contents 1. Introduction......................................................................................................................................... 7

2. Definition ............................................................................................................................................ 7

3. Introduction........................................................................................... Error! Bookmark not defined.

4. Definition .............................................................................................. Error! Bookmark not defined.

5. Numbers on Online Fraud ..................................................................... Error! Bookmark not defined.

6. Types of Online Fraud and How They Occur ....................................... Error! Bookmark not defined.

6.1. The Friendly Fraud .................................................................... Error! Bookmark not defined.

6.2. The Clean Fraud ........................................................................ Error! Bookmark not defined.

6.3. Online Intellectual Property Theft ............................................. Error! Bookmark not defined.

6.4. Identity Theft ............................................................................ Error! Bookmark not defined.

6.5. Phishing .................................................................................... Error! Bookmark not defined.

6.6. Credit Card Fraud ...................................................................... Error! Bookmark not defined.

6.7. Hacking ..................................................................................... Error! Bookmark not defined.

7. Prevention of Online Fraud ............................................................... Error! Bookmark not defined.

7.2. Keep Financial Data Separate ....................................................... Error! Bookmark not defined.

7.3. Know who is asking ...................................................................... Error! Bookmark not defined.

7.4. Protect your computer ................................................................... Error! Bookmark not defined.

7.5. Keep your passwords secret .......................................................... Error! Bookmark not defined.

8. Conclusion ............................................................................................ Error! Bookmark not defined.

9. References............................................................................................. Error! Bookmark not defined.

DESIGNING REPORT

7

First Page of the Report

1. Introduction

How to Avoid Internet Scams in the Workplace

Purpose

This section outlines how the researcher envisions presenting the report. The

outline demonstrates the different sections in which the report will be broken into and the

information that will be contained in each section.

2. Definition

Online fraud refers to deceitful schemes that are done using the internet. Online fraud may

come in the form of financial theft, identity theft or a combination of both.

History of Online Fraud

An influx of online fraud began to be experienced in the 1990s with the increased technology use

and e-commerce. In the beginning, online fraud was done by using the names of famous celebrities

of the time to commit internet crimes. Over time, more technical and sophisticated plans were

developed such as creating card-generator applications with real credit card numbers, setting up

dummy merchant websites and mass identity theft. Today, despite attempts by various

governments to regulate and mitigate online fraud, more sophisticated online fraud schemes have

been established ranging from credit card fraud to phishing, hacking, and identity theft (Saeger &

Probert, 2015).