Based on an Imaginary Area Calibration of Multiple Database Intrusion Detection Model
Pingping Sun · Science Technology and Engineering · 2012
The current large database,widely exist anti-jamming poor,largely due to the huge amount of testing data makes traditional algorithm in local search the low efficiency of defects,causing the potential risk to test the effect is not obvious disadvantages,etc.The fictional area calibration of multiple database intrusion detection model is put forward.Through the use of risk attribute data of a virtual small risk area,using the method of multiple calibration,the largest regional risk data attributes are calculatied.Through detailed virtual area,avoid traditional exhaustively algorithm,there is the defects of search capability is not strong,the potential risk for effective data invasion detection.Experiments show that the algorithm enhances some large network database intrusion detection accuracy,good results.