Sentence examples for detection of fraud from inspiring English sources
During the last century, society was always of the opinion that auditors are to detect fraud, with the auditing profession changing its path from the detection of fraud to the other side that is, denying this responsibility.
In contrast, sequence analysis of total genomic DNA isolated from food offers in principle the possibility to detect species in a totally unbiased way, enabling e.g. the detection of fraud through admixture of undeclared 'exotic' taxa or the presence of health risks by microbial contamination [ 4].
"We believe the commission's ability to routinely examine hedge fund advisers would assist the commission in the earlier detection of fraud and prevent certain misconduct and compliance lapses from developing into fraud," Mr. Roye said.
The proposed test could be useful for detection of fraud and for seafood traceability.
Audits are claimed to not only enhance the detection of fraud but also the deterrence of fraud.
Fraud detection architectures, processing models and applications to date are critically examined and evaluated with respect to their proactive capabilities for detection of fraud within streaming financial data.
In this paper we present the design, implementation and experimental evaluation of Kerberos, an architecture for the detection of frauds in current generation Voice over IP (VoIP) networks.
The concepts developed for all these methods were later on used for the development of European Union (EU) methods for the detection of frauds of addition of whey for the manufacture of dried milks.
Overall, however, the report gave top marks to Bank of America for prevention and detection of identity fraud, and gave Chase the top ranking for resolving problems once they occur.
Mr. Johnson seems unmoved by the researchers' plight or by the argument that his bill would hobble the detection of consumer fraud even as it seeks to disarm the thieves.
Moreover, it has been extensively applied in a variety of applications, for instance, detection of financial fraud, network intrusion, failures in critical systems, sensor faults in sensor networks, speech recognition, and traffic monitoring [23, 32].
