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Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE's Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
In Continuous Auditing, the data which are extracted from audited-entity need to be contrasted and analyzed by various information technologies, in order to query out the abnormal behaviors, estimate its authenticity, validity and integrity, and forecast the trend of data development. Therefore, the establishment of a normal auditing rule base with which to instruct and standard the data analysis and selection process becomes a quite valuable and significance subject. In order to fill up the vacancy of this filed, Continuous Auditing Immune Model based on Object-Oriented Rule Base (CAIMOR) makes a research of business data rule base on the basis of Object-Oriented Knowledge Representation, and then applies it into a Artificial Immune model. To some degree, CAIMOR can meet the requirements of real-time, self-study and self-adaption in Continuous Auditing.