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In law , fraud is intentional deception to secure unfair or unlawful gain, or to deprive a victim of a legal right. Fraud can violate civil law i. A hoax is a distinct concept that involves deliberate deception without the intention of gain or of materially damaging or depriving a victim. In common law jurisdictions, as a civil wrong, fraud is a tort. While the precise definitions and requirements of proof vary among jurisdictions, the requisite elements of fraud as a tort generally are the intentional misrepresentation or concealment of an important fact upon which the victim is meant to rely, and in fact does rely, to the harm of the victim. The remedies for fraud may include rescission i. In cases of a fraudulently induced contract, fraud may serve as a defense in a civil action for breach of contract or specific performance of contract.

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We use cookies to make interactions with our website easy and meaningful, to better understand the use of our services, and to tailor advertising. For further information, including about cookie settings, please read our Cookie Policy.

By continuing to use this site, you consent to the use of cookies. We value your privacy. Download citation. Download full-text PDF. A ‘read’ is counted each time someone views a publication summary such as the title, abstract, and list of authorsclicks on a figure, or views or downloads the full-text. Learn. Edgar Alonso Lopez-Rojas. Ahmad Elmir. Stefan Axelsson.

The lack of legitimate datasets on mobile money transactions to perform research on in the domain of fraud detection is a big problem today in the scientific community. Part of the problem is the intrinsic private nature of financial transactions, that leads to no public available data sets. This will leave the researchers with the burden of first harnessing the dataset before performing the actual research on it.

This paper propose an approach to such a problem that we named the PaySim simulator. PaySim is a financial simulator that simulates mobile money transactions based on an original dataset.

In this paper, we present a solution to ultimately yield the possibility to simulate mobile money transactions in such a way that they become similar to the original dataset. With technology frameworks such as Agent-Based simulation techniques, and the application of mathematical statistics, we show in this paper that the simulated data can be as prudent as the original dataset for research.

Figures — uploaded by Stefan Axelsson. Author content All content make money with fraud filetype pdf this area was uploaded by Stefan Axelsson. Content may be subject to copyright. Content uploaded by Stefan Axelsson. Author content All content in this area was uploaded by Stefan Axelsson on Jan 31, The lack of legitimate datasets on mobile money transac. Part of the problem is the intrinsic private nature of fi.

This will leave the researchers with the burden of first har. This paper propose an approach to such a problem. PaySim is a financial simulator that simulates mobile. In. Obtaining access to data sets of mobile transactions. Scientists and researchers.

This is time consuming and distracts researchers. The work presented in this paper provides a tool. PaySim generates syn. This will be done by the means of computer. PaySim simulates mobile money transactions based on. With the help of statistic analysis and social net.

The scope of this paper covers the design and construc. The injection of malicious fraud. Outline This paper is structured as follows: Section 2. Section 3. Finally sec. In many parts of Africa the adoption of mobile money. In Tanzania. During December alone, million transactions. The domain of Mobile Money Transfer has grown sub.

Many solutions have been employed in. There are existing mobile money. The ever growing usage of mobile money has increased. There is therefore a great amount of pres.

Due to the large amount of transactions and the. Many current. Therefore there is a need to push. With PaySimwe aim to address this problem by pro. The benefits of us. This re. The method proposed is based on the con. The first implementation of a simulator for financial. This simulator was implemented due to the difficulties to. This paper. The synthetic dataset generated by the sim.

The work by Gaber et al. The main difference here was that this time. The purpose. This works dif. There has been some work done in the domain of fi.

The most prominent. The work done in that paper is very similar to the work. A large collection of data was gath.

The paper. A definition of what was per. Public databases of financial transactions are. However the work of Lopez-Rojas and Ax. BankSim is implemented in a similar way as the RetSim.

BankSim is based on. Our work differs from this work because the source. The key common aspect on previous work is the use. It is important to recognize that a sim.

Rather, a simulation will with the aid of statistical. The degree in variance will largely be depen. The problem formulation for this research paper tackles. This is of primary concern for any researcher that wish to. The main focus and goal for the simulation is to yield.

To yield such results, the simulator must go. In order to simulate the mobile money service, we. We decided to cover 5 of. There are other types of transactions that we decided. We se. This is especially impor. ODD contains 3 main. The purpose of this simulator is to simulate payments.

The simula. The simulator should generate synthetic data. The goal is to have a generator. The model has one primary type of Entity which is. Each client has a profile that describes the al. Furthermore the number of. The client can further be classified by.

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