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Now a days security breaches have demonstrated how prevention of virus techniques constantly fall short of providing appropriate protection for businesses against advanced persistent threats (APTs). Accepting a better option based on big data analytics for threat detection is now necessary. Information security vendors have historically divided their prevention strategies having 2 categories: weather we have to allow or we have to looking forward, Whichever way. Lot of precaution method to improve the systems output. We have to take care of IDS, IPS, virus protection also trusted gateway and signature based authentication need for secure the systems. Furthermore, they cannot identify persistent threats because they are unable to detect persistent threats due to the appliance's capability (CPU, storage, etc.). logs, this study proposes and validates a method to identify sophisticated persistent threats early. Additionally, offer results that have been verified by examination of the derived algorithm's actual network structures.