Title :
Research on the Audit Fraud Grid
Author :
Liu Nianzu ; Wang Xiaoling
Author_Institution :
Sch. of Math. & Inf. Sci., Shanghai Lixin Univ. of Commerce, Shanghai, China
Abstract :
The information technology has brought great new challenges to the audit: the dynamical and timely audit is required to predict the audit fraud in advance; the data from different applications and locations of the enterprise is not easy to audit; the original documents will be destroyed after they are input into the computer system, which lead to the audit clues loss; many experiences can not taught to the auditors directly. This paper presents a Web service-based audit fraud grid (AFG) to fulfill the new requirements. In the AFG, the heterogeneous data coming from different locations of an enterprise can be audited universally, globally and dynamically; the audit frauds warn can be performed in advance based on the auditors´ experience and data fusion technology which improves the audit quality greatly; the content-based image retrieval technology is utilized to store and audit the original accounting documents.
Keywords :
Web services; auditing; content-based retrieval; financial data processing; grid computing; image retrieval; sensor fusion; Web service; audit fraud grid; computer system; content-based image retrieval technology; data fusion technology; heterogeneous data; information technology; Application software; Business; Content based retrieval; Grid computing; Image retrieval; Information retrieval; Information science; Information systems; Information technology; Mathematics;
Conference_Titel :
Computer Network and Multimedia Technology, 2009. CNMT 2009. International Symposium on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5272-9
DOI :
10.1109/CNMT.2009.5374754