One of the most severe threats to revenue and quality of service in telecom providers is fraud. The advent of new technologies has provided fraudsters new techniques to commit fraud. SIM box fraud is one of such fraud that has emerged with the use of VOIP technologies. In this work, a total of nine features found to be useful in identifying SIM box fraud subscriber are derived from the attribut...

The purpose of this research is toand analyze the influence four elements infraud triangle that pressure, opportunity, and rationalization. to detect possibility fraudulent financial statements (financial statement fraud). will be divided into 5 variables, specifically stability,external ineffective monitoring, nature industry, change in auditors.to find as measured by M Score modelin manufactu...

Data mining is a combination of database and artificial intelligence technologies. It is a process of identifying and extracting patterns from data, particularly from very large and/or complex sets of data. The major focus of machine learning research is to automatically learn to recognize complex patterns and make intelligent decisions based on data. Data mining and Machine Learning is a relat...

Enterprise systems, real time recording and real time reporting pose new and significant challenges to the accounting and auditing professions. This includes developing methods and tools for continuous assurance and fraud detection. In this paper we propose a methodology for continuous fraud detection that exploits security audit logs, changes in master records and accounting audit trails in en...

Process-Based Fraud (PBF) is fraud enabled by process deviations that occur in business processes. Several studies have proposed PBF detection methods; however, false decisions are still often made because of cases with low deviation. Low deviation is caused by ambiguity in determining fraud attribute values and low frequency of occurrence. This paper proposes a method of detecting PBF with low...

What external control mechanisms are most effective in detecting corporate fraud? To address this question we study in depth all reported cases of corporate fraud in companies with more than 750 million dollars in assets between 1996 and 2004. We find that fraud detection does not rely on one single mechanism, but on a wide range of, often improbable, actors. Only 6% of the frauds are revealed ...

Recent decades have seen a gigantic expansion in the use of credit cards as a true transactional medium. Data mining is rising as one of the chief features of many homeland security\ initiatives. Often, it is used as a means for detecting fraud, assessing risk, as well as product retailing. Data mining is becoming increasingly common in both the private as well as public sectors. Data mining in...