APPROPRIATE DATA ANALYTIC TECHNIQUES FOR THE SECURITY PREVENTION
AT IMC ARE:
1.TECHNIQUES BASED ON MATHEMATICS AND STATISTICS
- DESCRIPTIVE ANALYSIS : TAKE PAST DATA AND KEY PERFORMANCE TO
DESCRIBE THE PERFORMANCE OF THE SYSTEM . DESCRIPTIVE ANALYSIS TAKES
INTO ACCOUNT THE PAST DATA OR TRENDS AND SEE HOW THEY MIGHT
INFLUENCE THE FUTURE DATA.ANY BREACH CAN BE IDENTIFIED BY
RECOLLECTING DATA .
- DISPERSION ANALYSIS: THERE ARE VARIABLE FACTORS ACCOUNTED IN
THE PROBLEM. THEREFORE THEY DETERMINE THE VARIABILITY OF THE
FACTORS UNDER STUDY .THEREBY ACQUIRING DETAILED SEARCHING IN EVERY
VARIABLE POSSIBLE .
- REGRESSION ANALYSIS : THIS MODEL DETERMINES THE RELATIONSHIP
BETWEEN DEPENDENT AND INDEPENDENT VARIABLES . VARIOUS REGRESSSION
MODELS CAN BE LINEAR , MULTIPLE ,LOGISTIC, RIDGE, NON LINEAR ,LIFE
DATA AND MORE WHICH SOLVES ANY ISSUE UNDER SECURITY BREACH
- FACTOR ANALYSIS : THIS DETERMINES THE RELATIONSHIP AMONG
VARIABLES BASED ON SOME FACTOR. IT HELPS IN CLUSTERING AND
CLASSFICATION PROCEDURES.
- DISCRIMINANT ANALYSIS :IT DETERMINES THE DIFFERENCE BETWEEN TWO
GROUPS AND HELPS DIFFERENTIATE THE GROUPS .THEREFORE NEW ITEMS ARE
IDENTIFIED .
2. TECHINIQUES BASED ON ARTIFICIAL INTELLIGENCE AND MACHINE
LEARNING .
- ARTIFICIAL NEURAL NETWORK HAS ANN THAT CAN ACCEPT NOISY DATA
AND ARE HIGHLY ACCURATE WHICH ARE HELPFUL IN BOTH VUSINESS AND
FORECASTING.
- FUZZY LOGIC IS BASED ON PROBABLITY WHICH HELPS IN HANDLING THE
UNCERTAINITIES IN DATA MINING TECHNIQUES.