A Model of E-Fraud

نویسندگان

  • Pattama Malakedsuwan
  • Kenneth Stevens
چکیده

E-fraud is an e-crime that affects society, as a whole, impacting upon individuals, businesses and governments. Recent studies suggest that e-fraud is on the increase and that a lack of awareness, and inappropriate, limited or absent countermeasures have only exacerbated the negative impact of E-fraud to society. The response to e-fraud has concentrated on context specific technical solutions being narrowly focused, and typically dealing with only a few of the numerous factors and dimensions that may be seen to be constituent to e-fraud. A review of the literature suggests that e-fraud is, at a very basic level, poorly understood, which may in go some way to explain the above-mentioned difficulties in addressing e-fraud. Fundamental to this poor understanding is the lack of a theoretical basis upon which a comprehensive understanding may be built and from which a co-ordinated response may be made. This study seeks to redress this situation through the development of a model of the process of e-fraud, using the existing literature as a guide. Based on a broad definition of both e-crime and e-fraud, the resultant model describes the five key elements of e-fraud: perpetrator, mode of attack, target system, target entity and impact. It is envisaged that the model will allow the mechanics and context of e-fraud to be more fully understood, thus assisting in the development and implementation of effective countermeasures.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Presenting a Model for Financial Reporting Fraud Detection using Genetic Algorithm

both academic and auditing firms have been searching for ways to detect corporate fraud. The main objective of this study was to present a model to detect financial reporting fraud by companies listed on Tehran Stock Exchange (TSE) using genetic algorithm. For this purpose, consistent with theoretical foundations, 21 variables were selected to predict fraud in financial reporting that finally, ...

متن کامل

Detecting Corporate Financial Fraud using Beneish M-Score Model

Detecting financial fraud is an important issue and ignoring this issue may cause financial and non-financial losses to individuals and organizations. The aim of this study is to test the ability of Beneish M-Score Model for detecting financial fraud among companies listed on Tehran stock exchange. The research sample consists of 137 companies listed on Tehran Stock Exchange for a period of 11 ...

متن کامل

Developing a model of influential factors for fraud risk assessment in Iran

Trust among traders is one of the bases of markets mechanism and fraud damages existing trust. Therefore, the deleterious impact of fraud on societies and companies is obvious. When fraud occurs, the society expects auditors to detect and report fraud. Therefore, the role of auditors in countering fraud has become increasingly significant. To detect fraud, auditors need to perform a high-qualit...

متن کامل

Presenting a framework for detecting fraud risk factors affecting fraud occurrence in banks (Case study: Resalat Banks in Isfahan, Iran)

The present study aimed to investigate fraud risk factors affecting fraud occurrence in the branches of Resalat Bank in Isfahan, Iran, in 2017. The study is an applied research as far as the purpose is concerned, and a descriptive survey study as far as the procedures for data collection are concerned. The population of the study comprised experts in accounting computer information system, expe...

متن کامل

The Effect of Managers' Stability and the Stability of Institutional Stakeholders on the Probability of Fraud, by Employing Different Approaches to calculate Fraud

The purpose of this study was to investigate the effect of managers' stability and the stability of institutional stakeholders on the probability of fraud in companies. In line with the research goal, two hypotheses were developed. To test these two hypotheses using a systematic elimination method, a sample of 101 companies during the eight-year period between 2010 and 2017 was selected. In thi...

متن کامل

Providing a Model for Detecting Tax Fraud Based on the Personality Types of Corporate Financial Managers using the Neural Network Approach

One of the management measures to reduce tax liabilities is non-payment of taxes through tax fraud. Because personality factors may play a role in explaining tax ethics, examining personality traits and aspects of tax fraud can help to better understand the factors that influence tax decisions. The main purpose of this study is to provide a model for detecting tax fraud based on the personality...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2003