Big Data Analytics Architectural Data Cut off Tactics for Cyber Security and Its Implication in Digital forensic

The Internet is very swiftly expanding today than our imagination that we see now. At present more than half of the world’s population involved in the cyber world. There is plenty of data generation with this huge population. These data are of varying degrees and speeds, collectively referred to as Big Data. This rapid growth of the Internet has led to a significant increase in the type and frequency of cyber attacks. There are many well-known cyber security solutions to combat these attacks. Many corporate studies are now focusing on security analytics, such as the application of Big Data Analytics techniques to cyber security. The literature reveals a plethora of Big Data cyber security analytics systems. Here, in this paper we proposed to adopt a new data cut off architectural strategy for big data cyber security analytics. And finally, we give an example of how this proposed data cut off tactics used in the digital forensic investigation process.