USER BEHAVIOUR ANALYSIS USING DATA ANALYTICS AND MACHINE LEARNING TO PREDICT MALICIOUS USER VERSUS LEGITIMATE USER

User behaviour analysis using data analytics and machine learning to predict malicious user versus legitimate user

Research-based on user behavior analysis for authentication is the motivation for this research.We move ahead using a behavioral approach to identify malicious users and legitimate users.In this paper, we have explained how we have CHAMOMILE applied big data analytics to application-layer logs and predicted malicious users by employing a Machine Le

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Multiple Sclerosis Associated Risk Factors: A Case-Control Study

Background: Hamadan Province is one of the high-risk regions in Iran for Multiple sclerosis (MS).A majority of the epidemiological studies conducted in Iran addressing MS are descriptive.This study was conducted to assess MS and its associated risk factors in Hamadan Province, the west of Iran.Methods: This case-control study compared 100 patients

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